Building integrative enterprise knowledge portals with semantic web technologies:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin
Akadem. Verl.-Ges. Aka
2005
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Schriftenreihe: | Dissertationen zu Datenbanken und Informationssystemen
92 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Zugl.: Regensburg, Univ., Diss., 2005 |
Beschreibung: | XX, 164 S. |
ISBN: | 3898384926 1586035843 |
Internformat
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adam_text | Contents
1 Introduction 1
1.1 Research Questions 2
1.2 Research Method 3
1.2.1 Design Research Methodology 4
1.2.2 Philosophical Grounding 6
1.3 Chapter Structure 7
1 Motivation and Fundamentals 11
2 Knowledge Management and Contextualization 13
2.1 Goals of Knowledge Management 15
2.2 Process oriented Knowledge Management 16
2.2.1 Managing Knowledge Processes 16
2.2.2 Supporting Business Processes with Knowledge Management 18
2.3 Knowledge Management Systems 18
2.4 Context based Information Retrieval 20
3 Enterprise Knowledge Portals 23
3.1 Classification of Portals 24
3.2 Reference Architecture 25
3.3 Portlets 28
3.4 Selected Portal Solutions 29
3.4.1 Apache Jetspeed 30
3.4.2 IBM WebSphere Portal Server 31
3.4.3 SAP Enterprise Portal 31
3.4.4 Microsoft SharePoint Portal Server 33
3.4.5 Plumtree Corporate Portal 33
4 Semantic Web Technologies 37
4.1 Resource Description Framework (RDF) 39
4.1.1 RDF Model and Syntax 39
4.1.2 RDF Schema 41
4.2 Web Ontology Language (OWL) 43
4.2.1 Sublanguages of OWL 45
4.2.2 OWL Lite Language Concepts 45
4.3 Logic, Proof, and Trust 47
ix
x CONTENTS
II State of the Art and Proposed Extensions 51
5 Metadata for Content and Structure Management 53
5.1 Content Management Systems 54
5.2 Metadata Standards 56
5.3 Taxonomies for Navigation 58
5.4 Ontologies for Semantic Searching 59
5.5 Summary 61
6 Semi automatic Annotation of Text Documents 65
6.1 Text Mining and Information Extraction 65
6.1.1 Automatic Text Categorization 67
6.1.2 Clustering of Documents 68
6.1.3 Term based Association Analysis 68
6.1.4 Information Extraction 69
6.1.5 Automatic Text Summarization 69
6.2 RelatedWork 69
6.3 Automatic Generation of Metadata Elements 70
6.3.1 Taxonomy based Categorization 71
6.3.2 Linking Documents to Elements from an Ontology 71
6.4 Summary 73
7 Global Searching 75
7.1 Evaluation of Information Retrieval Systems 77
7.2 Classic Information Retrieval Models 78
7.2.1 Boolean Retrieval 79
7.2.2 Vector Space Model 79
7.3 Repository Integration and Indexing 80
7.4 Meta Searching 83
7.5 Summary 84
8 Similarity based Information Retrieval on Metadata 85
8.1 RelatedWork 86
8.2 Utilizing Ontology based Metadata 87
8.3 Set based Similarity Measure 90
8.4 Applying the Vector Space Model 92
8.5 Summary 94
9 Integration of External Content and Applications 95
9.1 Integration of Web Applications 96
9.1.1 IFRAMEs 96
9.1.2 Web Clipping 96
9.2 Content Syndication 97
9.3 Third Party Portlets and Custom Portlet Development 98
9.3.1 Java Portlet Specification (JSR 168) 100
9.3.2 Web Services for Remote Portlets (WSRP) 103
9.4 Summary 105
CONTENTS xi
10 Context based Portlet Integration 107
10.1 Related Work 107
10.1.1 IBM WebSphere Portal Server 108
10.1.2 SAP Enterprise Portal 108
10.2 General Approach for Context Management 109
10.2.1 Capturing the Portlet Context 109
10.2.2 Context Integration Scenarios Ill
10.2.3 Context Wires 113
10.3 Proposed Extensions to Portal Platforms and APIs 114
10.3.1 Context aware Portlet Development 114
10.3.2 Explicit Context Pushes and Context Pulls 116
10.4 Summary 118
III Evaluation and Future Directions 119
11 Prototype INWISS 121
11.1 Apache Jetspeed Portal 122
11.1.1 Portlet Development 123
11.1.2 Inter Portlet Communication 124
11.2 Demonstration Portlets 126
11.2.1 Search Portlet 126
11.2.2 Navigation Portlet 127
11.2.3 Content Portlet 127
11.2.4 Reporting Portlet 127
11.3 Context Management Implementation 128
11.3.1 Extensions to Apache Jetspeed 128
11.3.2 Demonstration Scenarios 129
11.4 Semantic Search Engine 131
11.4.1 Ranking algorithm 131
11.4.2 Computational Complexity 134
11.4.3 Empirical Evaluation 134
11.5 Content Management Implementation 135
11.6 Evaluation Summary 135
12 Future Directions 139
12.1 Process Orientation and Workflow 139
12.2 Distribution 141
13 Conclusions 145
A Additional Material 149
A.I Ontology of the Scenario 149
A.2 Evaluation Queries 151
List of Figures
1.1 General methodology of design research (adapted from [VK04]) 4
1.2 Chapter structure 8
2.1 Data, information, and knowledge and their semiotic levels [Aug90] 13
2.2 Building blocks of knowledge management according to Probst et al. [PRR99]. 17
2.3 Architecture of a knowledge management system [MaiO4] 19
3.1 Portal reference architecture (based on [GH03]) 26
3.2 Elements of a portal page [JCP04] 28
4.1 Layers of the Semantic Web [BLOO] 38
4.2 Sample RDF graph 40
4.3 RDF example in RDF/XML syntax 40
4.4 RDF example in N3 notation 41
4.5 UML model for sample RDFS ontology 42
4.6 Sample RDFS ontology in RDF/XML 44
4.7 Extended UML model (sample OWL ontology) 46
4.8 Sample OWL ontology in N3 notation 48
4.9 Inferred triples from sample ontology 49
5. t Content lifecycle [GerO2] 55
5.2 The Dublin Core hedgehog model [DCM02] 57
5.3 Classifying documents using a thematic taxonomy 59
5.4 Sample taxonomy encoded in RDF 60
5.5 Annotation with taxonomy topics and ontology elements 62
5.6 RDF metadata of a sample document 62
5.7 Sample metadata in RDF/XML 63
6.1 Hierarchical taxonomy based categorization 72
6.2 Binary classifiers for linking a document with ontology elements 72
7.1 Relevant vs. retrieved documents 77
7.2 Classification of information retrieval models [BYRN99] 79
7.3 Similarity of two document vectors with respect to a query vector 80
7.4 Global searching through repository integration 81
7.5 Sample ontological mapping for metadata integration 82
7.6 Global searching through meta searching 83
8.1 Sample metadata in N3 notation 88
8.2 Excerpt of the ontology 89
8.3 Sample metadata as RDF graph 90
xiii
xjy LIST OF FIGURES
8.4 Metadata with inferred triples 90
9.1 Web clipping with user interaction 97
9.2 Sample RSS feed 99
9.3 JSR 168 based portal architecture [JCP04] 100
9.4 JSR 168 request handling [JCP04] 102
9.5 WSRP based portal architecture 104
10.1 Architecture for context based portlet integration 109
10.2 Unified user model for context information [HM03] 110
10.3 Sample reporting portlet Ill
10.4 Sample portlet context 112
10.5 Morphological box of context integration scenarios 113
10.6 Sample context wires 113
10.7 Send to control with context wire menu 114
10.8 Sample context wire definition in RDF 115
10.9 Sample JSP code for selective context pushes 117
11.1 Prototype architecture 122
11.2 Screenshot of the running prototype 123
11.3 Portal page rendering process in Jetspeed 125
11.4 Sample context wire definition in RDF 129
11.5 Topic navigation scenario 130
11.6 Find related scenario in content and reporting portlet 130
11.7 Search engine using a context pull 131
11.8 Open resource scenario 131
11.9 Search result presented by the search portlet 132
ll.lOSketchofthe ranking algorithm 133
11.11 Content portlet with metadata for a new document 136
12.1 Supporting business processes through semantic context flow 140
12.2 Distributed portal architecture 142
A.I Ontology as a UML diagram 150
A.2 Evaluation queries 1 13 in N3 notation 151
A.3 Evaluation queries 14 and 15 in N3 notation 152
List of Tables
1.1 Philosophical assumptions of the three research perspectives [VK04] 6
7.1 Information retrieval vs. data retrieval [vR79] 76
8.1 Match values for the sample queries 91
11.1 Evaluation results 134
|
adam_txt |
Contents
1 Introduction 1
1.1 Research Questions 2
1.2 Research Method 3
1.2.1 Design Research Methodology 4
1.2.2 Philosophical Grounding 6
1.3 Chapter Structure 7
1 Motivation and Fundamentals 11
2 Knowledge Management and Contextualization 13
2.1 Goals of Knowledge Management 15
2.2 Process oriented Knowledge Management 16
2.2.1 Managing Knowledge Processes 16
2.2.2 Supporting Business Processes with Knowledge Management 18
2.3 Knowledge Management Systems 18
2.4 Context based Information Retrieval 20
3 Enterprise Knowledge Portals 23
3.1 Classification of Portals 24
3.2 Reference Architecture 25
3.3 Portlets 28
3.4 Selected Portal Solutions 29
3.4.1 Apache Jetspeed 30
3.4.2 IBM WebSphere Portal Server 31
3.4.3 SAP Enterprise Portal 31
3.4.4 Microsoft SharePoint Portal Server 33
3.4.5 Plumtree Corporate Portal 33
4 Semantic Web Technologies 37
4.1 Resource Description Framework (RDF) 39
4.1.1 RDF Model and Syntax 39
4.1.2 RDF Schema 41
4.2 Web Ontology Language (OWL) 43
4.2.1 Sublanguages of OWL 45
4.2.2 OWL Lite Language Concepts 45
4.3 Logic, Proof, and Trust 47
ix
x CONTENTS
II State of the Art and Proposed Extensions 51
5 Metadata for Content and Structure Management 53
5.1 Content Management Systems 54
5.2 Metadata Standards 56
5.3 Taxonomies for Navigation 58
5.4 Ontologies for Semantic Searching 59
5.5 Summary 61
6 Semi automatic Annotation of Text Documents 65
6.1 Text Mining and Information Extraction 65
6.1.1 Automatic Text Categorization 67
6.1.2 Clustering of Documents 68
6.1.3 Term based Association Analysis 68
6.1.4 Information Extraction 69
6.1.5 Automatic Text Summarization 69
6.2 RelatedWork 69
6.3 Automatic Generation of Metadata Elements 70
6.3.1 Taxonomy based Categorization 71
6.3.2 Linking Documents to Elements from an Ontology 71
6.4 Summary 73
7 Global Searching 75
7.1 Evaluation of Information Retrieval Systems 77
7.2 Classic Information Retrieval Models 78
7.2.1 Boolean Retrieval 79
7.2.2 Vector Space Model 79
7.3 Repository Integration and Indexing 80
7.4 Meta Searching 83
7.5 Summary 84
8 Similarity based Information Retrieval on Metadata 85
8.1 RelatedWork 86
8.2 Utilizing Ontology based Metadata 87
8.3 Set based Similarity Measure 90
8.4 Applying the Vector Space Model 92
8.5 Summary 94
9 Integration of External Content and Applications 95
9.1 Integration of Web Applications 96
9.1.1 IFRAMEs 96
9.1.2 Web Clipping 96
9.2 Content Syndication 97
9.3 Third Party Portlets and Custom Portlet Development 98
9.3.1 Java Portlet Specification (JSR 168) 100
9.3.2 Web Services for Remote Portlets (WSRP) 103
9.4 Summary 105
CONTENTS xi
10 Context based Portlet Integration 107
10.1 Related Work 107
10.1.1 IBM WebSphere Portal Server 108
10.1.2 SAP Enterprise Portal 108
10.2 General Approach for Context Management 109
10.2.1 Capturing the Portlet Context 109
10.2.2 Context Integration Scenarios Ill
10.2.3 Context Wires 113
10.3 Proposed Extensions to Portal Platforms and APIs 114
10.3.1 Context aware Portlet Development 114
10.3.2 Explicit Context Pushes and Context Pulls 116
10.4 Summary 118
III Evaluation and Future Directions 119
11 Prototype "INWISS" 121
11.1 Apache Jetspeed Portal 122
11.1.1 Portlet Development 123
11.1.2 Inter Portlet Communication 124
11.2 Demonstration Portlets 126
11.2.1 Search Portlet 126
11.2.2 Navigation Portlet 127
11.2.3 Content Portlet 127
11.2.4 Reporting Portlet 127
11.3 Context Management Implementation 128
11.3.1 Extensions to Apache Jetspeed 128
11.3.2 Demonstration Scenarios 129
11.4 Semantic Search Engine 131
11.4.1 Ranking algorithm 131
11.4.2 Computational Complexity 134
11.4.3 Empirical Evaluation 134
11.5 Content Management Implementation 135
11.6 Evaluation Summary 135
12 Future Directions 139
12.1 Process Orientation and Workflow 139
12.2 Distribution 141
13 Conclusions 145
A Additional Material 149
A.I Ontology of the Scenario 149
A.2 Evaluation Queries 151
List of Figures
1.1 General methodology of design research (adapted from [VK04]) 4
1.2 Chapter structure 8
2.1 Data, information, and knowledge and their semiotic levels [Aug90] 13
2.2 Building blocks of knowledge management according to Probst et al. [PRR99]. 17
2.3 Architecture of a knowledge management system [MaiO4] 19
3.1 Portal reference architecture (based on [GH03]) 26
3.2 Elements of a portal page [JCP04] 28
4.1 Layers of the Semantic Web [BLOO] 38
4.2 Sample RDF graph 40
4.3 RDF example in RDF/XML syntax 40
4.4 RDF example in N3 notation 41
4.5 UML model for sample RDFS ontology 42
4.6 Sample RDFS ontology in RDF/XML 44
4.7 Extended UML model (sample OWL ontology) 46
4.8 Sample OWL ontology in N3 notation 48
4.9 Inferred triples from sample ontology 49
5. t Content lifecycle [GerO2] 55
5.2 The Dublin Core hedgehog model [DCM02] 57
5.3 Classifying documents using a thematic taxonomy 59
5.4 Sample taxonomy encoded in RDF 60
5.5 Annotation with taxonomy topics and ontology elements 62
5.6 RDF metadata of a sample document 62
5.7 Sample metadata in RDF/XML 63
6.1 Hierarchical taxonomy based categorization 72
6.2 Binary classifiers for linking a document with ontology elements 72
7.1 Relevant vs. retrieved documents 77
7.2 Classification of information retrieval models [BYRN99] 79
7.3 Similarity of two document vectors with respect to a query vector 80
7.4 Global searching through repository integration 81
7.5 Sample ontological mapping for metadata integration 82
7.6 Global searching through meta searching 83
8.1 Sample metadata in N3 notation 88
8.2 Excerpt of the ontology 89
8.3 Sample metadata as RDF graph 90
xiii
xjy LIST OF FIGURES
8.4 Metadata with inferred triples 90
9.1 Web clipping with user interaction 97
9.2 Sample RSS feed 99
9.3 JSR 168 based portal architecture [JCP04] 100
9.4 JSR 168 request handling [JCP04] 102
9.5 WSRP based portal architecture 104
10.1 Architecture for context based portlet integration 109
10.2 Unified user model for context information [HM03] 110
10.3 Sample reporting portlet Ill
10.4 Sample portlet context 112
10.5 Morphological box of context integration scenarios 113
10.6 Sample context wires 113
10.7 "Send to" control with context wire menu 114
10.8 Sample context wire definition in RDF 115
10.9 Sample JSP code for selective context pushes 117
11.1 Prototype architecture 122
11.2 Screenshot of the running prototype 123
11.3 Portal page rendering process in Jetspeed 125
11.4 Sample context wire definition in RDF 129
11.5 Topic navigation scenario 130
11.6 "Find related" scenario in content and reporting portlet 130
11.7 Search engine using a context pull 131
11.8 Open resource scenario 131
11.9 Search result presented by the search portlet 132
ll.lOSketchofthe ranking algorithm 133
11.11 Content portlet with metadata for a new document 136
12.1 Supporting business processes through semantic context flow 140
12.2 Distributed portal architecture 142
A.I Ontology as a UML diagram 150
A.2 Evaluation queries 1 13 in N3 notation 151
A.3 Evaluation queries 14 and 15 in N3 notation 152
List of Tables
1.1 Philosophical assumptions of the three research perspectives [VK04] 6
7.1 Information retrieval vs. data retrieval [vR79] 76
8.1 Match values for the sample queries 91
11.1 Evaluation results 134 |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV021283344 |
illustrated | Not Illustrated |
index_date | 2024-07-02T13:47:46Z |
indexdate | 2024-07-09T20:34:40Z |
institution | BVB |
isbn | 3898384926 1586035843 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014604311 |
oclc_num | 64587568 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-473 DE-BY-UBG DE-20 |
owner_facet | DE-355 DE-BY-UBR DE-473 DE-BY-UBG DE-20 |
physical | XX, 164 S. |
publishDate | 2005 |
publishDateSearch | 2005 |
publishDateSort | 2005 |
publisher | Akadem. Verl.-Ges. Aka |
record_format | marc |
series | Dissertationen zu Datenbanken und Informationssystemen |
series2 | Dissertationen zu Datenbanken und Informationssystemen |
spelling | Priebe, Torsten Verfasser aut Building integrative enterprise knowledge portals with semantic web technologies Torsten Priebe Berlin Akadem. Verl.-Ges. Aka 2005 XX, 164 S. txt rdacontent n rdamedia nc rdacarrier Dissertationen zu Datenbanken und Informationssystemen 92 Zugl.: Regensburg, Univ., Diss., 2005 Bedrijven gtt Gestion des connaissances Kennissystemen gtt Portails (Informatique) Semantische functies gtt Systeemontwerp gtt Systèmes, Conception de Web sémantique Knowledge management Semantic Web Web portals Semantic Web (DE-588)4688372-1 gnd rswk-swf Semantisches Netz (DE-588)4242662-5 gnd rswk-swf Wissensmanagement (DE-588)4561842-2 gnd rswk-swf Kontextbezogenes System (DE-588)4739720-2 gnd rswk-swf Portal Internet (DE-588)4634625-9 gnd rswk-swf Unternehmen (DE-588)4061963-1 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Unternehmen (DE-588)4061963-1 s Wissensmanagement (DE-588)4561842-2 s Portal Internet (DE-588)4634625-9 s Kontextbezogenes System (DE-588)4739720-2 s Semantisches Netz (DE-588)4242662-5 s DE-604 Semantic Web (DE-588)4688372-1 s Information Retrieval (DE-588)4072803-1 s b DE-604 Dissertationen zu Datenbanken und Informationssystemen 92 (DE-604)BV010678578 92 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014604311&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Priebe, Torsten Building integrative enterprise knowledge portals with semantic web technologies Dissertationen zu Datenbanken und Informationssystemen Bedrijven gtt Gestion des connaissances Kennissystemen gtt Portails (Informatique) Semantische functies gtt Systeemontwerp gtt Systèmes, Conception de Web sémantique Knowledge management Semantic Web Web portals Semantic Web (DE-588)4688372-1 gnd Semantisches Netz (DE-588)4242662-5 gnd Wissensmanagement (DE-588)4561842-2 gnd Kontextbezogenes System (DE-588)4739720-2 gnd Portal Internet (DE-588)4634625-9 gnd Unternehmen (DE-588)4061963-1 gnd Information Retrieval (DE-588)4072803-1 gnd |
subject_GND | (DE-588)4688372-1 (DE-588)4242662-5 (DE-588)4561842-2 (DE-588)4739720-2 (DE-588)4634625-9 (DE-588)4061963-1 (DE-588)4072803-1 (DE-588)4113937-9 |
title | Building integrative enterprise knowledge portals with semantic web technologies |
title_auth | Building integrative enterprise knowledge portals with semantic web technologies |
title_exact_search | Building integrative enterprise knowledge portals with semantic web technologies |
title_exact_search_txtP | Building integrative enterprise knowledge portals with semantic web technologies |
title_full | Building integrative enterprise knowledge portals with semantic web technologies Torsten Priebe |
title_fullStr | Building integrative enterprise knowledge portals with semantic web technologies Torsten Priebe |
title_full_unstemmed | Building integrative enterprise knowledge portals with semantic web technologies Torsten Priebe |
title_short | Building integrative enterprise knowledge portals with semantic web technologies |
title_sort | building integrative enterprise knowledge portals with semantic web technologies |
topic | Bedrijven gtt Gestion des connaissances Kennissystemen gtt Portails (Informatique) Semantische functies gtt Systeemontwerp gtt Systèmes, Conception de Web sémantique Knowledge management Semantic Web Web portals Semantic Web (DE-588)4688372-1 gnd Semantisches Netz (DE-588)4242662-5 gnd Wissensmanagement (DE-588)4561842-2 gnd Kontextbezogenes System (DE-588)4739720-2 gnd Portal Internet (DE-588)4634625-9 gnd Unternehmen (DE-588)4061963-1 gnd Information Retrieval (DE-588)4072803-1 gnd |
topic_facet | Bedrijven Gestion des connaissances Kennissystemen Portails (Informatique) Semantische functies Systeemontwerp Systèmes, Conception de Web sémantique Knowledge management Semantic Web Web portals Semantisches Netz Wissensmanagement Kontextbezogenes System Portal Internet Unternehmen Information Retrieval Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014604311&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV010678578 |
work_keys_str_mv | AT priebetorsten buildingintegrativeenterpriseknowledgeportalswithsemanticwebtechnologies |