An introduction to hybrid human-machine information systems:
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston ; Delft
now
[2017]
|
| Schriftenreihe: | Foundations and trends in web science
volume 7, issue 1 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xi, 93 Seiten Illustrationen |
| ISBN: | 9781680833744 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804178437406982144 |
|---|---|
| adam_text | Contents
1 Crowdsourcing and Human Computation 3
1.1 Motivation............................................. 3
1.2 Crowdsourcing Platforms................................ 4
1.3 The Amazon Mechanical Turk Marketplace ................ 5
1.4 A Definition of Hybrid Human-Machine Information Systems 7
1.5 Challenges of Hybrid Human-Machine Systems ............ 7
1.6 Opportunities of Hybrid Human-Machine Systems.......... 9
2 Hybrid Systems for Databases 11
2.1 An Example Use Case for Hybrid Databases.............. 12
2.2 Open World Assumptions................................ 14
2.3 Transactive Human-Machine Database Systems............ 15
2.4 Hybrid Human-Machine Database Operators for Sort and
Joins................................................. 17
2.5 Crowdsourcing and Big Data............................ 19
2.6 Discussion............................................ 22
3 Hybrid Systems for Information Retrieval 25
3.1 Information Retrieval Evaluation...................... 26
3.2 Hybrid Search Systems................................. 27
3.3 Discussion............................................ 29
IX
X
4 Hybrid Systems for Natural Language Processing 31
4.1 Named Entity Recognition ................................ 32
4.2 Entity Linking........................................... 32
4.3 Coreference Resolution ................................. 34
4.4 Machine Translation...................................... 35
4.5 Other NLP tasks.......................................... 36
4.6 Discussion............................................... 37
5 Hybrid Systems for Semantic Web 39
5.1 Ontology Modeling........................................ 40
5.2 Data Quality and Provenance in Semantic Web Applications 41
5.3 Instance Matching........................................ 42
5.4 Discussion............................................... 45
6 Hybrid Systems for Machine Learning 47
6.1 Crowdsourcing the Training of Supervised Models.......... 48
6.2 Bayesian Models for Crowdsourcing Problems............... 49
6.3 Crowdsourced Clustering ................................. 50
6.4 Crowdsourcing for Active Learning........................ 51
6.5 Discussion............................................... 52
7 Hybrid Systems for Multimedia Processing 53
7.1 Hybrid Systems for Multimedia Retrieval.................. 54
7.2 Multimedia Content: Quality of Experience................ 55
7.3 Hybrid Systems for Speech and Communication.............. 56
7.4 Hybrid Systems for Ubiquitous Computing.................. 57
7.5 Cultural Heritage ....................................... 58
7.6 Discussion............................................... 60
8 Discussion and Research Directions 63
8.1 Common Challenges in Hybrid Human-Machine Systems 64
8.2 Human Behavior........................................... 66
8.3 System Optimization ..................................... 68
8.4 Interdisciplinary Challenges............................. 70
8.5 Future Outlook .......................................... 71
Acknowledgements
References
XI
72
75
An Introduction to Hybrid
Human-Machine Information Systems
Gianluca Demartini, DjeElel iEddine Difallah,
Ujwal Gadiraju and Michele Catasta
Hybrid Human-Machine Information Systems leverage novel architectures that make systematic
use of Human Computation by means of crowdsourcing. These architectures are capable of
scaling over large amounts of data and simultaneously maintain high-quality data processing
levels by introducing humans into the loop. Such hybrid systems have been developed to tackle
a variety of problems and come with inter-disciplinary challenges. They need to deal with the full
spectrum of challenges from the social science standpoint, such as understanding crowd workers
behavior and motivations when performing tasks. These systems also need to overcome highly
technical challenges like constraint optimization and resource allocation based on limited budgets
and deadlines to be met.
This monograph introduces the area of Human Computation and present an overview of different
applications for which Hybrid Human-Machine Information Systems have already been used in
the realms of data management, information retrieval, natural language processing, semantic
web, machine learning, and multimedia to better solve existing problems. Finally, it discusses
current research directions, opportunities for the future development of such systems and their
application in practice.
|
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| id | DE-604.BV044890596 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:03:57Z |
| institution | BVB |
| isbn | 9781680833744 |
| language | English |
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| series | Foundations and trends in web science |
| series2 | Foundations and trends in web science |
| spelling | Demartini, Gianluca 1981- Verfasser (DE-588)1012729028 aut An introduction to hybrid human-machine information systems Gianluca Demartini, Djellel Eddine Difallah, Ujwal Gadiraju, Michele Catasta Boston ; Delft now [2017] xi, 93 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Foundations and trends in web science volume 7, issue 1 Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 s DE-604 Difallah, Djellel Eddine Verfasser aut Gadiraju, Ujwal Verfasser aut Catasta, Michele Verfasser aut Foundations and trends in web science volume 7, issue 1 (DE-604)BV044930778 7,1 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030284612&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030284612&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Demartini, Gianluca 1981- Difallah, Djellel Eddine Gadiraju, Ujwal Catasta, Michele An introduction to hybrid human-machine information systems Foundations and trends in web science Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| subject_GND | (DE-588)4125909-9 |
| title | An introduction to hybrid human-machine information systems |
| title_auth | An introduction to hybrid human-machine information systems |
| title_exact_search | An introduction to hybrid human-machine information systems |
| title_full | An introduction to hybrid human-machine information systems Gianluca Demartini, Djellel Eddine Difallah, Ujwal Gadiraju, Michele Catasta |
| title_fullStr | An introduction to hybrid human-machine information systems Gianluca Demartini, Djellel Eddine Difallah, Ujwal Gadiraju, Michele Catasta |
| title_full_unstemmed | An introduction to hybrid human-machine information systems Gianluca Demartini, Djellel Eddine Difallah, Ujwal Gadiraju, Michele Catasta |
| title_short | An introduction to hybrid human-machine information systems |
| title_sort | an introduction to hybrid human machine information systems |
| topic | Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| topic_facet | Mensch-Maschine-Kommunikation |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030284612&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030284612&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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