Web Information Systems and Technologies: 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2023
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Lecture Notes in Business Information Processing Series
v.469 |
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (235 Seiten) |
| ISBN: | 9783031241970 |
Internformat
MARC
| LEADER | 00000nam a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV049872880 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240919s2023 xx o|||| 00||| eng d | ||
| 020 | |a 9783031241970 |9 978-3-031-24197-0 | ||
| 035 | |a (ZDB-30-PQE)EBC7179461 | ||
| 035 | |a (ZDB-30-PAD)EBC7179461 | ||
| 035 | |a (ZDB-89-EBL)EBL7179461 | ||
| 035 | |a (OCoLC)1363102258 | ||
| 035 | |a (DE-599)BVBBV049872880 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-2070s | ||
| 082 | 0 | |a 354.81150006 | |
| 084 | |a QP 345 |0 (DE-625)141866: |2 rvk | ||
| 084 | |a SS 4801 |0 (DE-625)143529: |2 rvk | ||
| 100 | 1 | |a Marchiori, Massimo |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Web Information Systems and Technologies |b 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Cham |b Springer International Publishing AG |c 2023 | |
| 264 | 4 | |c ©2023 | |
| 300 | |a 1 Online-Ressource (235 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Lecture Notes in Business Information Processing Series |v v.469 | |
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 505 | 8 | |a Intro -- Preface -- Organization -- Contents -- Virtual Testing Environment for Smart Automations in the Internet of Things -- 1 Introduction -- 1.1 Contribution -- 2 Related Work -- 3 Case Scenarios -- 4 Software Architecture -- 5 Virtual Smart Devices -- 5.1 Automatic GUI Generation for Smart Devices -- 5.2 Simulating Smart Device Operations with Visual Programming -- 5.3 Virtual Smart-Device Access and Control -- 6 Testing Toolbox -- 6.1 Action Calendar and Virtual-Time Tool -- 6.2 Live Dashboard and Activity History -- 6.3 Input/Output Console -- 6.4 Block-Based Debugger -- 6.5 Embedded Explanations -- 6.6 Custom Conditional Breakpoints -- 6.7 Authoring of Test Suites -- 6.8 Introducing Check Blocks -- 7 Discussion - Digital Twinning of IoT Ecosystems -- 8 Usability Evaluation -- 8.1 Participants -- 8.2 Process -- 8.3 Results -- 9 Conclusions -- References -- Machine Learning Based Finding of Similar Sentences from French Clinical Notes -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Feature Extraction -- 3.2 Models -- 4 Evaluation -- 4.1 Datasets -- 4.2 Results -- 5 Discussion -- 5.1 Findings -- 5.2 Comparison with Other Participating Systems -- 5.3 Analysis of CONCORDIA Performance -- 5.4 Limitations and Future Work -- 6 Conclusion -- References -- A Comparative Study of Energy Domain Ontologies -- 1 Introduction -- 2 Energy Domain and Semantic Modelling -- 3 Review of Ontologies for the Energy Domain -- 4 Experimental Evaluation -- 4.1 Metrics -- 4.2 Issues -- 5 Experimental Results -- 6 Related Works -- 7 Conclusions -- References -- Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification -- 1 Introduction -- 2 Lbl2Vec -- 3 Experimental Design -- 3.1 Datasets -- 3.2 Label Keywords -- 3.3 Text Classification Approaches -- 4 Evaluation -- 4.1 Classification Results | |
| 505 | 8 | |a 4.2 Lbl2Vec Hyperparameter Analysis -- 4.3 Keywords Analysis -- 5 Related Work -- 6 Conclusion -- References -- Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil -- 1 Introduction -- 2 Contextual Framework -- 2.1 Larger Context -- 3 Short Text Processing -- 3.1 Traditional Methods -- 3.2 Neural Network Based Methods -- 3.3 Invoice Classification -- 3.4 Discussion of Related Work -- 4 Architecture of SCAN-NF -- 4.1 NF-e and NFC-e -- 5 Case Study of Brazilian E-Invoices -- 5.1 Dataset -- 5.2 Baseline Models -- 5.3 Experiments -- 5.4 Metrics -- 6 Results -- 6.1 Single vs Ensemble CNN Approach -- 6.2 Experiment 2: Comparison of Models with Different Representations -- 6.3 Comparison of Approaches -- 7 Conclusion and Future Work -- References -- Indonesia Government and Social Networks: Response Analysis About Food Security During COVID-19 Pandemic -- 1 Background -- 2 Framework #1: Use of Social Networks in Government -- 3 Framework #2: COVID-19 Pandemic Disrupts Food Security -- 4 Research Methods -- 5 The Content of the Response of Food Security Institutions -- 6 The Narrative of the Response of Food Security Institutions -- 7 Summing Up -- References -- An Adaptive Filter for Preference Fine-Tuning in Recommender Systems -- 1 Introduction -- 2 Related Works -- 3 Model of Adaptive Filter -- 3.1 Adaptive Filtering Process -- 4 Discussion -- 5 Validation -- 6 Evaluation of Adaptive Filter RS -- 7 Conclusions -- References -- Graph-Based Recommendation Engine for Stock Investment Decisions -- 1 Introduction -- 2 Preliminaries -- 2.1 Technical Analysis of the Stock Market -- 2.2 Recommendation Engine -- 3 Related Work -- 3.1 Graph Recommendation Engines -- 3.2 Solutions for Stock Market Recommendations -- 3.3 Critical Analysis of Existing Solutions -- 4 Proposal of a New System | |
| 505 | 8 | |a 4.1 Problem Statement -- 4.2 System Design -- 4.3 Recommendation Engine -- 4.4 Data Provider -- 4.5 Summary of the Proposal -- 5 Dataset Preparation -- 6 Implementation of the System -- 7 Results and Evaluation -- 8 Summary -- References -- LDViz: A Tool to Assist the Multidimensional Exploration of SPARQL Endpoints -- 1 Introduction -- 2 Visual Exploration of LOD -- 2.1 Importing Data from SPARQL Endpoints -- 2.2 SPARQL Query Editor -- 2.3 Using Predefined Queries -- 2.4 Data Visualization Using MGExplorer -- 2.5 Visualizing Multiple SPARQL Endpoints During Exploration -- 2.6 Transformation Engine -- 3 KG Exploration Methods and SPARQL Queries -- 3.1 RDF Graph/Vocabulary Inspection -- 3.2 RDF Graph Summarizations -- 3.3 Exploratory Search of Knowledge Graphs -- 4 Coverage Analysis -- 4.1 Data -- 4.2 Procedure -- 4.3 Results -- 5 Related Work -- 6 Discussion, Conclusion and Future Work -- References -- Flexible Detection of Similar DOM Elements -- 1 Introduction -- 1.1 DOM Structure Detection in Information Extraction -- 1.2 DOM Structure Detection in Web Augmentation -- 1.3 Contributions -- 2 Related Work -- 2.1 Tree Edit Distance Algorithms -- 2.2 Bag of Paths -- 2.3 Locator-Based Comparison -- 2.4 Other Approaches -- 3 Proposed Algorithm -- 3.1 Rationale -- 3.2 Scoring Map Generation -- 3.3 Maps Comparison -- 3.4 Scoring Map with Dimensional Awareness -- 3.5 Time Complexity -- 3.6 Wrapper Induction -- 4 Validation -- 4.1 Dataset Generation -- 4.2 Preparation -- 4.3 Procedure -- 4.4 Results -- 4.5 Post-hoc Analysis -- 4.6 Threats to Validity -- 5 Use Cases -- 5.1 Automatic Detection and Correction of Usability Smells -- 5.2 Use of Semantic Tags to Improve Web Application Accessibility -- 5.3 UX-Painter -- 6 Conclusions and Future Work -- References -- GeoSoft: A Language for Soft Querying Features Within GeoJSON Information Layers -- 1 Introduction | |
| 505 | 8 | |a 2 Related Work -- 3 Soft Querying JSON Documents: The J-CO Framework -- 4 Introducing GeoJSON and the Running Example -- 4.1 GeoJSON -- 4.2 Running Example -- 5 GeoSoft: An SQL-like Language -- 5.1 Semantic Model -- 5.2 Queries -- 6 Translating GeoSoft into J-CO-QL -- 6.1 Preamble of the J-CO-QL Script -- 6.2 Core of the J-CO-QL Script -- 6.3 Tail of the J-CO-QL Script -- 7 Conclusions -- A Syntax of GeoSoft -- References -- Author Index | |
| 650 | 4 | |a Information technology-Congresses | |
| 650 | 0 | 7 | |a Internet der Dinge |0 (DE-588)7713781-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wissenstechnik |0 (DE-588)4192641-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Betriebliches Informationssystem |0 (DE-588)4069386-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Deep learning |0 (DE-588)1135597375 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Betriebliches Informationssystem |0 (DE-588)4069386-7 |D s |
| 689 | 0 | 1 | |a Deep learning |0 (DE-588)1135597375 |D s |
| 689 | 0 | 2 | |a Wissenstechnik |0 (DE-588)4192641-9 |D s |
| 689 | 0 | 3 | |a Internet der Dinge |0 (DE-588)7713781-4 |D s |
| 689 | 0 | 4 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Domínguez Mayo, Francisco José |e Sonstige |4 oth | |
| 700 | 1 | |a Filipe, Joaquim |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Marchiori, Massimo |t Web Information Systems and Technologies |d Cham : Springer International Publishing AG,c2023 |z 9783031241963 |
| 912 | |a ZDB-30-PQE | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035212338 | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=7179461 |l DE-2070s |p ZDB-30-PQE |q HWR_PDA_PQE |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1818330302170267648 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Marchiori, Massimo |
| author_facet | Marchiori, Massimo |
| author_role | aut |
| author_sort | Marchiori, Massimo |
| author_variant | m m mm |
| building | Verbundindex |
| bvnumber | BV049872880 |
| classification_rvk | QP 345 SS 4801 |
| collection | ZDB-30-PQE |
| contents | Intro -- Preface -- Organization -- Contents -- Virtual Testing Environment for Smart Automations in the Internet of Things -- 1 Introduction -- 1.1 Contribution -- 2 Related Work -- 3 Case Scenarios -- 4 Software Architecture -- 5 Virtual Smart Devices -- 5.1 Automatic GUI Generation for Smart Devices -- 5.2 Simulating Smart Device Operations with Visual Programming -- 5.3 Virtual Smart-Device Access and Control -- 6 Testing Toolbox -- 6.1 Action Calendar and Virtual-Time Tool -- 6.2 Live Dashboard and Activity History -- 6.3 Input/Output Console -- 6.4 Block-Based Debugger -- 6.5 Embedded Explanations -- 6.6 Custom Conditional Breakpoints -- 6.7 Authoring of Test Suites -- 6.8 Introducing Check Blocks -- 7 Discussion - Digital Twinning of IoT Ecosystems -- 8 Usability Evaluation -- 8.1 Participants -- 8.2 Process -- 8.3 Results -- 9 Conclusions -- References -- Machine Learning Based Finding of Similar Sentences from French Clinical Notes -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Feature Extraction -- 3.2 Models -- 4 Evaluation -- 4.1 Datasets -- 4.2 Results -- 5 Discussion -- 5.1 Findings -- 5.2 Comparison with Other Participating Systems -- 5.3 Analysis of CONCORDIA Performance -- 5.4 Limitations and Future Work -- 6 Conclusion -- References -- A Comparative Study of Energy Domain Ontologies -- 1 Introduction -- 2 Energy Domain and Semantic Modelling -- 3 Review of Ontologies for the Energy Domain -- 4 Experimental Evaluation -- 4.1 Metrics -- 4.2 Issues -- 5 Experimental Results -- 6 Related Works -- 7 Conclusions -- References -- Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification -- 1 Introduction -- 2 Lbl2Vec -- 3 Experimental Design -- 3.1 Datasets -- 3.2 Label Keywords -- 3.3 Text Classification Approaches -- 4 Evaluation -- 4.1 Classification Results 4.2 Lbl2Vec Hyperparameter Analysis -- 4.3 Keywords Analysis -- 5 Related Work -- 6 Conclusion -- References -- Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil -- 1 Introduction -- 2 Contextual Framework -- 2.1 Larger Context -- 3 Short Text Processing -- 3.1 Traditional Methods -- 3.2 Neural Network Based Methods -- 3.3 Invoice Classification -- 3.4 Discussion of Related Work -- 4 Architecture of SCAN-NF -- 4.1 NF-e and NFC-e -- 5 Case Study of Brazilian E-Invoices -- 5.1 Dataset -- 5.2 Baseline Models -- 5.3 Experiments -- 5.4 Metrics -- 6 Results -- 6.1 Single vs Ensemble CNN Approach -- 6.2 Experiment 2: Comparison of Models with Different Representations -- 6.3 Comparison of Approaches -- 7 Conclusion and Future Work -- References -- Indonesia Government and Social Networks: Response Analysis About Food Security During COVID-19 Pandemic -- 1 Background -- 2 Framework #1: Use of Social Networks in Government -- 3 Framework #2: COVID-19 Pandemic Disrupts Food Security -- 4 Research Methods -- 5 The Content of the Response of Food Security Institutions -- 6 The Narrative of the Response of Food Security Institutions -- 7 Summing Up -- References -- An Adaptive Filter for Preference Fine-Tuning in Recommender Systems -- 1 Introduction -- 2 Related Works -- 3 Model of Adaptive Filter -- 3.1 Adaptive Filtering Process -- 4 Discussion -- 5 Validation -- 6 Evaluation of Adaptive Filter RS -- 7 Conclusions -- References -- Graph-Based Recommendation Engine for Stock Investment Decisions -- 1 Introduction -- 2 Preliminaries -- 2.1 Technical Analysis of the Stock Market -- 2.2 Recommendation Engine -- 3 Related Work -- 3.1 Graph Recommendation Engines -- 3.2 Solutions for Stock Market Recommendations -- 3.3 Critical Analysis of Existing Solutions -- 4 Proposal of a New System 4.1 Problem Statement -- 4.2 System Design -- 4.3 Recommendation Engine -- 4.4 Data Provider -- 4.5 Summary of the Proposal -- 5 Dataset Preparation -- 6 Implementation of the System -- 7 Results and Evaluation -- 8 Summary -- References -- LDViz: A Tool to Assist the Multidimensional Exploration of SPARQL Endpoints -- 1 Introduction -- 2 Visual Exploration of LOD -- 2.1 Importing Data from SPARQL Endpoints -- 2.2 SPARQL Query Editor -- 2.3 Using Predefined Queries -- 2.4 Data Visualization Using MGExplorer -- 2.5 Visualizing Multiple SPARQL Endpoints During Exploration -- 2.6 Transformation Engine -- 3 KG Exploration Methods and SPARQL Queries -- 3.1 RDF Graph/Vocabulary Inspection -- 3.2 RDF Graph Summarizations -- 3.3 Exploratory Search of Knowledge Graphs -- 4 Coverage Analysis -- 4.1 Data -- 4.2 Procedure -- 4.3 Results -- 5 Related Work -- 6 Discussion, Conclusion and Future Work -- References -- Flexible Detection of Similar DOM Elements -- 1 Introduction -- 1.1 DOM Structure Detection in Information Extraction -- 1.2 DOM Structure Detection in Web Augmentation -- 1.3 Contributions -- 2 Related Work -- 2.1 Tree Edit Distance Algorithms -- 2.2 Bag of Paths -- 2.3 Locator-Based Comparison -- 2.4 Other Approaches -- 3 Proposed Algorithm -- 3.1 Rationale -- 3.2 Scoring Map Generation -- 3.3 Maps Comparison -- 3.4 Scoring Map with Dimensional Awareness -- 3.5 Time Complexity -- 3.6 Wrapper Induction -- 4 Validation -- 4.1 Dataset Generation -- 4.2 Preparation -- 4.3 Procedure -- 4.4 Results -- 4.5 Post-hoc Analysis -- 4.6 Threats to Validity -- 5 Use Cases -- 5.1 Automatic Detection and Correction of Usability Smells -- 5.2 Use of Semantic Tags to Improve Web Application Accessibility -- 5.3 UX-Painter -- 6 Conclusions and Future Work -- References -- GeoSoft: A Language for Soft Querying Features Within GeoJSON Information Layers -- 1 Introduction 2 Related Work -- 3 Soft Querying JSON Documents: The J-CO Framework -- 4 Introducing GeoJSON and the Running Example -- 4.1 GeoJSON -- 4.2 Running Example -- 5 GeoSoft: An SQL-like Language -- 5.1 Semantic Model -- 5.2 Queries -- 6 Translating GeoSoft into J-CO-QL -- 6.1 Preamble of the J-CO-QL Script -- 6.2 Core of the J-CO-QL Script -- 6.3 Tail of the J-CO-QL Script -- 7 Conclusions -- A Syntax of GeoSoft -- References -- Author Index |
| ctrlnum | (ZDB-30-PQE)EBC7179461 (ZDB-30-PAD)EBC7179461 (ZDB-89-EBL)EBL7179461 (OCoLC)1363102258 (DE-599)BVBBV049872880 |
| dewey-full | 354.81150006 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 354 - Administration of economy & environment |
| dewey-raw | 354.81150006 |
| dewey-search | 354.81150006 |
| dewey-sort | 3354.81150006 |
| dewey-tens | 350 - Public administration and military science |
| discipline | Informatik Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zcb4500</leader><controlfield tag="001">BV049872880</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240919s2023 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031241970</subfield><subfield code="9">978-3-031-24197-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC7179461</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PAD)EBC7179461</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-89-EBL)EBL7179461</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1363102258</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049872880</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-2070s</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">354.81150006</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QP 345</subfield><subfield code="0">(DE-625)141866:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SS 4801</subfield><subfield code="0">(DE-625)143529:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Marchiori, Massimo</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Web Information Systems and Technologies</subfield><subfield code="b">16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer International Publishing AG</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (235 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Lecture Notes in Business Information Processing Series</subfield><subfield code="v">v.469</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Intro -- Preface -- Organization -- Contents -- Virtual Testing Environment for Smart Automations in the Internet of Things -- 1 Introduction -- 1.1 Contribution -- 2 Related Work -- 3 Case Scenarios -- 4 Software Architecture -- 5 Virtual Smart Devices -- 5.1 Automatic GUI Generation for Smart Devices -- 5.2 Simulating Smart Device Operations with Visual Programming -- 5.3 Virtual Smart-Device Access and Control -- 6 Testing Toolbox -- 6.1 Action Calendar and Virtual-Time Tool -- 6.2 Live Dashboard and Activity History -- 6.3 Input/Output Console -- 6.4 Block-Based Debugger -- 6.5 Embedded Explanations -- 6.6 Custom Conditional Breakpoints -- 6.7 Authoring of Test Suites -- 6.8 Introducing Check Blocks -- 7 Discussion - Digital Twinning of IoT Ecosystems -- 8 Usability Evaluation -- 8.1 Participants -- 8.2 Process -- 8.3 Results -- 9 Conclusions -- References -- Machine Learning Based Finding of Similar Sentences from French Clinical Notes -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Feature Extraction -- 3.2 Models -- 4 Evaluation -- 4.1 Datasets -- 4.2 Results -- 5 Discussion -- 5.1 Findings -- 5.2 Comparison with Other Participating Systems -- 5.3 Analysis of CONCORDIA Performance -- 5.4 Limitations and Future Work -- 6 Conclusion -- References -- A Comparative Study of Energy Domain Ontologies -- 1 Introduction -- 2 Energy Domain and Semantic Modelling -- 3 Review of Ontologies for the Energy Domain -- 4 Experimental Evaluation -- 4.1 Metrics -- 4.2 Issues -- 5 Experimental Results -- 6 Related Works -- 7 Conclusions -- References -- Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification -- 1 Introduction -- 2 Lbl2Vec -- 3 Experimental Design -- 3.1 Datasets -- 3.2 Label Keywords -- 3.3 Text Classification Approaches -- 4 Evaluation -- 4.1 Classification Results</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.2 Lbl2Vec Hyperparameter Analysis -- 4.3 Keywords Analysis -- 5 Related Work -- 6 Conclusion -- References -- Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil -- 1 Introduction -- 2 Contextual Framework -- 2.1 Larger Context -- 3 Short Text Processing -- 3.1 Traditional Methods -- 3.2 Neural Network Based Methods -- 3.3 Invoice Classification -- 3.4 Discussion of Related Work -- 4 Architecture of SCAN-NF -- 4.1 NF-e and NFC-e -- 5 Case Study of Brazilian E-Invoices -- 5.1 Dataset -- 5.2 Baseline Models -- 5.3 Experiments -- 5.4 Metrics -- 6 Results -- 6.1 Single vs Ensemble CNN Approach -- 6.2 Experiment 2: Comparison of Models with Different Representations -- 6.3 Comparison of Approaches -- 7 Conclusion and Future Work -- References -- Indonesia Government and Social Networks: Response Analysis About Food Security During COVID-19 Pandemic -- 1 Background -- 2 Framework #1: Use of Social Networks in Government -- 3 Framework #2: COVID-19 Pandemic Disrupts Food Security -- 4 Research Methods -- 5 The Content of the Response of Food Security Institutions -- 6 The Narrative of the Response of Food Security Institutions -- 7 Summing Up -- References -- An Adaptive Filter for Preference Fine-Tuning in Recommender Systems -- 1 Introduction -- 2 Related Works -- 3 Model of Adaptive Filter -- 3.1 Adaptive Filtering Process -- 4 Discussion -- 5 Validation -- 6 Evaluation of Adaptive Filter RS -- 7 Conclusions -- References -- Graph-Based Recommendation Engine for Stock Investment Decisions -- 1 Introduction -- 2 Preliminaries -- 2.1 Technical Analysis of the Stock Market -- 2.2 Recommendation Engine -- 3 Related Work -- 3.1 Graph Recommendation Engines -- 3.2 Solutions for Stock Market Recommendations -- 3.3 Critical Analysis of Existing Solutions -- 4 Proposal of a New System</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.1 Problem Statement -- 4.2 System Design -- 4.3 Recommendation Engine -- 4.4 Data Provider -- 4.5 Summary of the Proposal -- 5 Dataset Preparation -- 6 Implementation of the System -- 7 Results and Evaluation -- 8 Summary -- References -- LDViz: A Tool to Assist the Multidimensional Exploration of SPARQL Endpoints -- 1 Introduction -- 2 Visual Exploration of LOD -- 2.1 Importing Data from SPARQL Endpoints -- 2.2 SPARQL Query Editor -- 2.3 Using Predefined Queries -- 2.4 Data Visualization Using MGExplorer -- 2.5 Visualizing Multiple SPARQL Endpoints During Exploration -- 2.6 Transformation Engine -- 3 KG Exploration Methods and SPARQL Queries -- 3.1 RDF Graph/Vocabulary Inspection -- 3.2 RDF Graph Summarizations -- 3.3 Exploratory Search of Knowledge Graphs -- 4 Coverage Analysis -- 4.1 Data -- 4.2 Procedure -- 4.3 Results -- 5 Related Work -- 6 Discussion, Conclusion and Future Work -- References -- Flexible Detection of Similar DOM Elements -- 1 Introduction -- 1.1 DOM Structure Detection in Information Extraction -- 1.2 DOM Structure Detection in Web Augmentation -- 1.3 Contributions -- 2 Related Work -- 2.1 Tree Edit Distance Algorithms -- 2.2 Bag of Paths -- 2.3 Locator-Based Comparison -- 2.4 Other Approaches -- 3 Proposed Algorithm -- 3.1 Rationale -- 3.2 Scoring Map Generation -- 3.3 Maps Comparison -- 3.4 Scoring Map with Dimensional Awareness -- 3.5 Time Complexity -- 3.6 Wrapper Induction -- 4 Validation -- 4.1 Dataset Generation -- 4.2 Preparation -- 4.3 Procedure -- 4.4 Results -- 4.5 Post-hoc Analysis -- 4.6 Threats to Validity -- 5 Use Cases -- 5.1 Automatic Detection and Correction of Usability Smells -- 5.2 Use of Semantic Tags to Improve Web Application Accessibility -- 5.3 UX-Painter -- 6 Conclusions and Future Work -- References -- GeoSoft: A Language for Soft Querying Features Within GeoJSON Information Layers -- 1 Introduction</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2 Related Work -- 3 Soft Querying JSON Documents: The J-CO Framework -- 4 Introducing GeoJSON and the Running Example -- 4.1 GeoJSON -- 4.2 Running Example -- 5 GeoSoft: An SQL-like Language -- 5.1 Semantic Model -- 5.2 Queries -- 6 Translating GeoSoft into J-CO-QL -- 6.1 Preamble of the J-CO-QL Script -- 6.2 Core of the J-CO-QL Script -- 6.3 Tail of the J-CO-QL Script -- 7 Conclusions -- A Syntax of GeoSoft -- References -- Author Index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information technology-Congresses</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Internet der Dinge</subfield><subfield code="0">(DE-588)7713781-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wissenstechnik</subfield><subfield code="0">(DE-588)4192641-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Betriebliches Informationssystem</subfield><subfield code="0">(DE-588)4069386-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Deep learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Betriebliches Informationssystem</subfield><subfield code="0">(DE-588)4069386-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Deep learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Wissenstechnik</subfield><subfield code="0">(DE-588)4192641-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Internet der Dinge</subfield><subfield code="0">(DE-588)7713781-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Domínguez Mayo, Francisco José</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Filipe, Joaquim</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Marchiori, Massimo</subfield><subfield code="t">Web Information Systems and Technologies</subfield><subfield code="d">Cham : Springer International Publishing AG,c2023</subfield><subfield code="z">9783031241963</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035212338</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=7179461</subfield><subfield code="l">DE-2070s</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">HWR_PDA_PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049872880 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-13T13:01:47Z |
| institution | BVB |
| isbn | 9783031241970 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035212338 |
| oclc_num | 1363102258 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (235 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | Lecture Notes in Business Information Processing Series |
| spelling | Marchiori, Massimo Verfasser aut Web Information Systems and Technologies 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers 1st ed Cham Springer International Publishing AG 2023 ©2023 1 Online-Ressource (235 Seiten) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing Series v.469 Description based on publisher supplied metadata and other sources Intro -- Preface -- Organization -- Contents -- Virtual Testing Environment for Smart Automations in the Internet of Things -- 1 Introduction -- 1.1 Contribution -- 2 Related Work -- 3 Case Scenarios -- 4 Software Architecture -- 5 Virtual Smart Devices -- 5.1 Automatic GUI Generation for Smart Devices -- 5.2 Simulating Smart Device Operations with Visual Programming -- 5.3 Virtual Smart-Device Access and Control -- 6 Testing Toolbox -- 6.1 Action Calendar and Virtual-Time Tool -- 6.2 Live Dashboard and Activity History -- 6.3 Input/Output Console -- 6.4 Block-Based Debugger -- 6.5 Embedded Explanations -- 6.6 Custom Conditional Breakpoints -- 6.7 Authoring of Test Suites -- 6.8 Introducing Check Blocks -- 7 Discussion - Digital Twinning of IoT Ecosystems -- 8 Usability Evaluation -- 8.1 Participants -- 8.2 Process -- 8.3 Results -- 9 Conclusions -- References -- Machine Learning Based Finding of Similar Sentences from French Clinical Notes -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Feature Extraction -- 3.2 Models -- 4 Evaluation -- 4.1 Datasets -- 4.2 Results -- 5 Discussion -- 5.1 Findings -- 5.2 Comparison with Other Participating Systems -- 5.3 Analysis of CONCORDIA Performance -- 5.4 Limitations and Future Work -- 6 Conclusion -- References -- A Comparative Study of Energy Domain Ontologies -- 1 Introduction -- 2 Energy Domain and Semantic Modelling -- 3 Review of Ontologies for the Energy Domain -- 4 Experimental Evaluation -- 4.1 Metrics -- 4.2 Issues -- 5 Experimental Results -- 6 Related Works -- 7 Conclusions -- References -- Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification -- 1 Introduction -- 2 Lbl2Vec -- 3 Experimental Design -- 3.1 Datasets -- 3.2 Label Keywords -- 3.3 Text Classification Approaches -- 4 Evaluation -- 4.1 Classification Results 4.2 Lbl2Vec Hyperparameter Analysis -- 4.3 Keywords Analysis -- 5 Related Work -- 6 Conclusion -- References -- Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil -- 1 Introduction -- 2 Contextual Framework -- 2.1 Larger Context -- 3 Short Text Processing -- 3.1 Traditional Methods -- 3.2 Neural Network Based Methods -- 3.3 Invoice Classification -- 3.4 Discussion of Related Work -- 4 Architecture of SCAN-NF -- 4.1 NF-e and NFC-e -- 5 Case Study of Brazilian E-Invoices -- 5.1 Dataset -- 5.2 Baseline Models -- 5.3 Experiments -- 5.4 Metrics -- 6 Results -- 6.1 Single vs Ensemble CNN Approach -- 6.2 Experiment 2: Comparison of Models with Different Representations -- 6.3 Comparison of Approaches -- 7 Conclusion and Future Work -- References -- Indonesia Government and Social Networks: Response Analysis About Food Security During COVID-19 Pandemic -- 1 Background -- 2 Framework #1: Use of Social Networks in Government -- 3 Framework #2: COVID-19 Pandemic Disrupts Food Security -- 4 Research Methods -- 5 The Content of the Response of Food Security Institutions -- 6 The Narrative of the Response of Food Security Institutions -- 7 Summing Up -- References -- An Adaptive Filter for Preference Fine-Tuning in Recommender Systems -- 1 Introduction -- 2 Related Works -- 3 Model of Adaptive Filter -- 3.1 Adaptive Filtering Process -- 4 Discussion -- 5 Validation -- 6 Evaluation of Adaptive Filter RS -- 7 Conclusions -- References -- Graph-Based Recommendation Engine for Stock Investment Decisions -- 1 Introduction -- 2 Preliminaries -- 2.1 Technical Analysis of the Stock Market -- 2.2 Recommendation Engine -- 3 Related Work -- 3.1 Graph Recommendation Engines -- 3.2 Solutions for Stock Market Recommendations -- 3.3 Critical Analysis of Existing Solutions -- 4 Proposal of a New System 4.1 Problem Statement -- 4.2 System Design -- 4.3 Recommendation Engine -- 4.4 Data Provider -- 4.5 Summary of the Proposal -- 5 Dataset Preparation -- 6 Implementation of the System -- 7 Results and Evaluation -- 8 Summary -- References -- LDViz: A Tool to Assist the Multidimensional Exploration of SPARQL Endpoints -- 1 Introduction -- 2 Visual Exploration of LOD -- 2.1 Importing Data from SPARQL Endpoints -- 2.2 SPARQL Query Editor -- 2.3 Using Predefined Queries -- 2.4 Data Visualization Using MGExplorer -- 2.5 Visualizing Multiple SPARQL Endpoints During Exploration -- 2.6 Transformation Engine -- 3 KG Exploration Methods and SPARQL Queries -- 3.1 RDF Graph/Vocabulary Inspection -- 3.2 RDF Graph Summarizations -- 3.3 Exploratory Search of Knowledge Graphs -- 4 Coverage Analysis -- 4.1 Data -- 4.2 Procedure -- 4.3 Results -- 5 Related Work -- 6 Discussion, Conclusion and Future Work -- References -- Flexible Detection of Similar DOM Elements -- 1 Introduction -- 1.1 DOM Structure Detection in Information Extraction -- 1.2 DOM Structure Detection in Web Augmentation -- 1.3 Contributions -- 2 Related Work -- 2.1 Tree Edit Distance Algorithms -- 2.2 Bag of Paths -- 2.3 Locator-Based Comparison -- 2.4 Other Approaches -- 3 Proposed Algorithm -- 3.1 Rationale -- 3.2 Scoring Map Generation -- 3.3 Maps Comparison -- 3.4 Scoring Map with Dimensional Awareness -- 3.5 Time Complexity -- 3.6 Wrapper Induction -- 4 Validation -- 4.1 Dataset Generation -- 4.2 Preparation -- 4.3 Procedure -- 4.4 Results -- 4.5 Post-hoc Analysis -- 4.6 Threats to Validity -- 5 Use Cases -- 5.1 Automatic Detection and Correction of Usability Smells -- 5.2 Use of Semantic Tags to Improve Web Application Accessibility -- 5.3 UX-Painter -- 6 Conclusions and Future Work -- References -- GeoSoft: A Language for Soft Querying Features Within GeoJSON Information Layers -- 1 Introduction 2 Related Work -- 3 Soft Querying JSON Documents: The J-CO Framework -- 4 Introducing GeoJSON and the Running Example -- 4.1 GeoJSON -- 4.2 Running Example -- 5 GeoSoft: An SQL-like Language -- 5.1 Semantic Model -- 5.2 Queries -- 6 Translating GeoSoft into J-CO-QL -- 6.1 Preamble of the J-CO-QL Script -- 6.2 Core of the J-CO-QL Script -- 6.3 Tail of the J-CO-QL Script -- 7 Conclusions -- A Syntax of GeoSoft -- References -- Author Index Information technology-Congresses Internet der Dinge (DE-588)7713781-4 gnd rswk-swf Wissenstechnik (DE-588)4192641-9 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Betriebliches Informationssystem (DE-588)4069386-7 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Betriebliches Informationssystem (DE-588)4069386-7 s Deep learning (DE-588)1135597375 s Wissenstechnik (DE-588)4192641-9 s Internet der Dinge (DE-588)7713781-4 s Big Data (DE-588)4802620-7 s DE-604 Domínguez Mayo, Francisco José Sonstige oth Filipe, Joaquim Sonstige oth Erscheint auch als Druck-Ausgabe Marchiori, Massimo Web Information Systems and Technologies Cham : Springer International Publishing AG,c2023 9783031241963 |
| spellingShingle | Marchiori, Massimo Web Information Systems and Technologies 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers Intro -- Preface -- Organization -- Contents -- Virtual Testing Environment for Smart Automations in the Internet of Things -- 1 Introduction -- 1.1 Contribution -- 2 Related Work -- 3 Case Scenarios -- 4 Software Architecture -- 5 Virtual Smart Devices -- 5.1 Automatic GUI Generation for Smart Devices -- 5.2 Simulating Smart Device Operations with Visual Programming -- 5.3 Virtual Smart-Device Access and Control -- 6 Testing Toolbox -- 6.1 Action Calendar and Virtual-Time Tool -- 6.2 Live Dashboard and Activity History -- 6.3 Input/Output Console -- 6.4 Block-Based Debugger -- 6.5 Embedded Explanations -- 6.6 Custom Conditional Breakpoints -- 6.7 Authoring of Test Suites -- 6.8 Introducing Check Blocks -- 7 Discussion - Digital Twinning of IoT Ecosystems -- 8 Usability Evaluation -- 8.1 Participants -- 8.2 Process -- 8.3 Results -- 9 Conclusions -- References -- Machine Learning Based Finding of Similar Sentences from French Clinical Notes -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Feature Extraction -- 3.2 Models -- 4 Evaluation -- 4.1 Datasets -- 4.2 Results -- 5 Discussion -- 5.1 Findings -- 5.2 Comparison with Other Participating Systems -- 5.3 Analysis of CONCORDIA Performance -- 5.4 Limitations and Future Work -- 6 Conclusion -- References -- A Comparative Study of Energy Domain Ontologies -- 1 Introduction -- 2 Energy Domain and Semantic Modelling -- 3 Review of Ontologies for the Energy Domain -- 4 Experimental Evaluation -- 4.1 Metrics -- 4.2 Issues -- 5 Experimental Results -- 6 Related Works -- 7 Conclusions -- References -- Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification -- 1 Introduction -- 2 Lbl2Vec -- 3 Experimental Design -- 3.1 Datasets -- 3.2 Label Keywords -- 3.3 Text Classification Approaches -- 4 Evaluation -- 4.1 Classification Results 4.2 Lbl2Vec Hyperparameter Analysis -- 4.3 Keywords Analysis -- 5 Related Work -- 6 Conclusion -- References -- Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil -- 1 Introduction -- 2 Contextual Framework -- 2.1 Larger Context -- 3 Short Text Processing -- 3.1 Traditional Methods -- 3.2 Neural Network Based Methods -- 3.3 Invoice Classification -- 3.4 Discussion of Related Work -- 4 Architecture of SCAN-NF -- 4.1 NF-e and NFC-e -- 5 Case Study of Brazilian E-Invoices -- 5.1 Dataset -- 5.2 Baseline Models -- 5.3 Experiments -- 5.4 Metrics -- 6 Results -- 6.1 Single vs Ensemble CNN Approach -- 6.2 Experiment 2: Comparison of Models with Different Representations -- 6.3 Comparison of Approaches -- 7 Conclusion and Future Work -- References -- Indonesia Government and Social Networks: Response Analysis About Food Security During COVID-19 Pandemic -- 1 Background -- 2 Framework #1: Use of Social Networks in Government -- 3 Framework #2: COVID-19 Pandemic Disrupts Food Security -- 4 Research Methods -- 5 The Content of the Response of Food Security Institutions -- 6 The Narrative of the Response of Food Security Institutions -- 7 Summing Up -- References -- An Adaptive Filter for Preference Fine-Tuning in Recommender Systems -- 1 Introduction -- 2 Related Works -- 3 Model of Adaptive Filter -- 3.1 Adaptive Filtering Process -- 4 Discussion -- 5 Validation -- 6 Evaluation of Adaptive Filter RS -- 7 Conclusions -- References -- Graph-Based Recommendation Engine for Stock Investment Decisions -- 1 Introduction -- 2 Preliminaries -- 2.1 Technical Analysis of the Stock Market -- 2.2 Recommendation Engine -- 3 Related Work -- 3.1 Graph Recommendation Engines -- 3.2 Solutions for Stock Market Recommendations -- 3.3 Critical Analysis of Existing Solutions -- 4 Proposal of a New System 4.1 Problem Statement -- 4.2 System Design -- 4.3 Recommendation Engine -- 4.4 Data Provider -- 4.5 Summary of the Proposal -- 5 Dataset Preparation -- 6 Implementation of the System -- 7 Results and Evaluation -- 8 Summary -- References -- LDViz: A Tool to Assist the Multidimensional Exploration of SPARQL Endpoints -- 1 Introduction -- 2 Visual Exploration of LOD -- 2.1 Importing Data from SPARQL Endpoints -- 2.2 SPARQL Query Editor -- 2.3 Using Predefined Queries -- 2.4 Data Visualization Using MGExplorer -- 2.5 Visualizing Multiple SPARQL Endpoints During Exploration -- 2.6 Transformation Engine -- 3 KG Exploration Methods and SPARQL Queries -- 3.1 RDF Graph/Vocabulary Inspection -- 3.2 RDF Graph Summarizations -- 3.3 Exploratory Search of Knowledge Graphs -- 4 Coverage Analysis -- 4.1 Data -- 4.2 Procedure -- 4.3 Results -- 5 Related Work -- 6 Discussion, Conclusion and Future Work -- References -- Flexible Detection of Similar DOM Elements -- 1 Introduction -- 1.1 DOM Structure Detection in Information Extraction -- 1.2 DOM Structure Detection in Web Augmentation -- 1.3 Contributions -- 2 Related Work -- 2.1 Tree Edit Distance Algorithms -- 2.2 Bag of Paths -- 2.3 Locator-Based Comparison -- 2.4 Other Approaches -- 3 Proposed Algorithm -- 3.1 Rationale -- 3.2 Scoring Map Generation -- 3.3 Maps Comparison -- 3.4 Scoring Map with Dimensional Awareness -- 3.5 Time Complexity -- 3.6 Wrapper Induction -- 4 Validation -- 4.1 Dataset Generation -- 4.2 Preparation -- 4.3 Procedure -- 4.4 Results -- 4.5 Post-hoc Analysis -- 4.6 Threats to Validity -- 5 Use Cases -- 5.1 Automatic Detection and Correction of Usability Smells -- 5.2 Use of Semantic Tags to Improve Web Application Accessibility -- 5.3 UX-Painter -- 6 Conclusions and Future Work -- References -- GeoSoft: A Language for Soft Querying Features Within GeoJSON Information Layers -- 1 Introduction 2 Related Work -- 3 Soft Querying JSON Documents: The J-CO Framework -- 4 Introducing GeoJSON and the Running Example -- 4.1 GeoJSON -- 4.2 Running Example -- 5 GeoSoft: An SQL-like Language -- 5.1 Semantic Model -- 5.2 Queries -- 6 Translating GeoSoft into J-CO-QL -- 6.1 Preamble of the J-CO-QL Script -- 6.2 Core of the J-CO-QL Script -- 6.3 Tail of the J-CO-QL Script -- 7 Conclusions -- A Syntax of GeoSoft -- References -- Author Index Information technology-Congresses Internet der Dinge (DE-588)7713781-4 gnd Wissenstechnik (DE-588)4192641-9 gnd Big Data (DE-588)4802620-7 gnd Betriebliches Informationssystem (DE-588)4069386-7 gnd Deep learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)7713781-4 (DE-588)4192641-9 (DE-588)4802620-7 (DE-588)4069386-7 (DE-588)1135597375 |
| title | Web Information Systems and Technologies 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers |
| title_auth | Web Information Systems and Technologies 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers |
| title_exact_search | Web Information Systems and Technologies 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers |
| title_full | Web Information Systems and Technologies 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers |
| title_fullStr | Web Information Systems and Technologies 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers |
| title_full_unstemmed | Web Information Systems and Technologies 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers |
| title_short | Web Information Systems and Technologies |
| title_sort | web information systems and technologies 16th international conference webist 2020 november 3 5 2020 and 17th international conference webist 2021 october 26 28 2021 virtual events revised selected papers |
| title_sub | 16th International Conference, WEBIST 2020, November 3-5, 2020, and 17th International Conference, WEBIST 2021, October 26-28, 2021, Virtual Events, Revised Selected Papers |
| topic | Information technology-Congresses Internet der Dinge (DE-588)7713781-4 gnd Wissenstechnik (DE-588)4192641-9 gnd Big Data (DE-588)4802620-7 gnd Betriebliches Informationssystem (DE-588)4069386-7 gnd Deep learning (DE-588)1135597375 gnd |
| topic_facet | Information technology-Congresses Internet der Dinge Wissenstechnik Big Data Betriebliches Informationssystem Deep learning |
| work_keys_str_mv | AT marchiorimassimo webinformationsystemsandtechnologies16thinternationalconferencewebist2020november352020and17thinternationalconferencewebist2021october26282021virtualeventsrevisedselectedpapers AT dominguezmayofranciscojose webinformationsystemsandtechnologies16thinternationalconferencewebist2020november352020and17thinternationalconferencewebist2021october26282021virtualeventsrevisedselectedpapers AT filipejoaquim webinformationsystemsandtechnologies16thinternationalconferencewebist2020november352020and17thinternationalconferencewebist2021october26282021virtualeventsrevisedselectedpapers |