Ontology matching: with 18 tables
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2007
|
Schlagworte: | |
Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
Beschreibung: | Literaturverz. S. 297 - 321 |
Beschreibung: | IX, 333 S. graph. Darst. 24 cm |
ISBN: | 9783540496113 3540496114 |
Internformat
MARC
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100 | 1 | |a Euzenat, Jérôme |e Verfasser |0 (DE-588)132230755 |4 aut | |
245 | 1 | 0 | |a Ontology matching |b with 18 tables |c Jérôme Euzenat ; Pavel Shvaiko |
264 | 1 | |a Berlin [u.a.] |b Springer |c 2007 | |
300 | |a IX, 333 S. |b graph. Darst. |c 24 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Literaturverz. S. 297 - 321 | ||
650 | 7 | |a Inteligência artificial |2 larpcal | |
650 | 7 | |a Ontologia |2 larpcal | |
650 | 7 | |a Semântica |2 larpcal | |
650 | 7 | |a World wide web |2 larpcal | |
650 | 4 | |a Ontologies (Information retrieval) | |
650 | 4 | |a Semantic integration (Computer systems) | |
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Datensatz im Suchindex
_version_ | 1805089644354732032 |
---|---|
adam_text |
Contents
Introduction
Part I The matching problem
Applications
. 9
1.1
Ontology engineering
. 9
1.2
Information integration
. 11
1.3
Peer-to-peer information sharing
. 16
1.4
Web service composition
. 19
1.5
Autonomous communication systems
. 20
1.6
Navigation and query answering on the web
. 22
1.7
Summary
. 24
The matching problem
. 29
2.1
Vocabularies,
schemas
and ontologies
. 29
2.2
Ontology language
. 36
2.3
Types of heterogeneity
. 40
2.4
Terminology
. 42
2.5
The ontology matching problem
. 44
2.6
Summary
. 56
Part II Ontology matching techniques
3
Classifications of ontology matching techniques
. 61
3.1
Matching dimensions
. 61
3.2
Classification of matching approaches
. 63
3.3
Other classifications
. 70
3.4
Summary
. 72
VIII Contents
4
Basic
techniques
. 73
4.1
Similarity, distances and other measures
. 73
4.2
Name-based techniques
. 74
4.3
Structure-based techniques
. 92
4.4
Extensional techniques
. 105
4.5
Semantic-based techniques
. 110
4.6
Summary
.
П5
5
Matching strategies
. 117
5.1
Matcher composition
.
Ц7
5.2
Similarity aggregation
. 121
5.3
Global similarity computation
. 126
5.4
Learning methods
. 133
5.5
Probabilistic methods
. 141
5.6
User involvement and dynamic composition
. 142
5.7
Alignment extraction
. 144
5.8
Summary
. 149
Part III Systems and evaluation
6
Overview of matching systems
. 153
6.1
Schema-based systems
. 154
6.2
instance-based systems
.
J
69
6.3
Mixed, schema-based and instance-based systems
. 176
6.4
Meta-matching systems
. 184
6.5
Summary
. 186
7
Evaluation of matching systems
. 193
7.1
Evaluation principles
. 193
7.2
Data sets for evaluation
. 198
7.3
Evaluation measures
. 203
7.4
Application-specific evaluation
. 213
7.5
Summary
. 216
Part IV Representing, explaining, and processing alignments
8
Frameworks and formats: representing alignments
. 219
8.1
Alignment formats
. 219
8.2
Alignment frameworks
. 2,35
8.3
Ontology editors with alignment manipulation capabilities
. 241
8.4
Summary
. 243
Contents
IX
9
Explaining alignments
. 245
9.1
Justifications
. 245
9.2
Explanation approaches
. 247
9.3
A default explanation
. 249
9.4
Explaining basic matchers
. 251
9.5
Explaining the matching process
. 252
9.6
Arguing about correspondences
. 255
9.7
Summary
. 257
10
Processing alignments
. 259
10.1
Ontology merging
. 260
10.2
Ontology transformation
. 261
10.3
Data translation
. 261
10.4
Mediation
. 262
10.5
Reasoning
. 264
10.6
Towards an alignment service
. 264
10.7
Summary
. 265
Part V Conclusions
11
Conclusions
. 269
11.1
A brief outlook of the trends in the field
. 269
11.2
Future challenges
. 270
11.3
Final words
. 274
Appendix A: Legends of figures
. 275
Appendix B: Running example
. 277
Appendix C: Exercises
. 289
References
. 297
Index
. 323 |
adam_txt |
Contents
Introduction
Part I The matching problem
Applications
. 9
1.1
Ontology engineering
. 9
1.2
Information integration
. 11
1.3
Peer-to-peer information sharing
. 16
1.4
Web service composition
. 19
1.5
Autonomous communication systems
. 20
1.6
Navigation and query answering on the web
. 22
1.7
Summary
. 24
The matching problem
. 29
2.1
Vocabularies,
schemas
and ontologies
. 29
2.2
Ontology language
. 36
2.3
Types of heterogeneity
. 40
2.4
Terminology
. 42
2.5
The ontology matching problem
. 44
2.6
Summary
. 56
Part II Ontology matching techniques
3
Classifications of ontology matching techniques
. 61
3.1
Matching dimensions
. 61
3.2
Classification of matching approaches
. 63
3.3
Other classifications
. 70
3.4
Summary
. 72
VIII Contents
4
Basic
techniques
. 73
4.1
Similarity, distances and other measures
. 73
4.2
Name-based techniques
. 74
4.3
Structure-based techniques
. 92
4.4
Extensional techniques
. 105
4.5
Semantic-based techniques
. 110
4.6
Summary
.
П5
5
Matching strategies
. 117
5.1
Matcher composition
.
Ц7
5.2
Similarity aggregation
. 121
5.3
Global similarity computation
. 126
5.4
Learning methods
. 133
5.5
Probabilistic methods
. 141
5.6
User involvement and dynamic composition
. 142
5.7
Alignment extraction
. 144
5.8
Summary
. 149
Part III Systems and evaluation
6
Overview of matching systems
. 153
6.1
Schema-based systems
. 154
6.2
instance-based systems
.
J
69
6.3
Mixed, schema-based and instance-based systems
. 176
6.4
Meta-matching systems
. 184
6.5
Summary
. 186
7
Evaluation of matching systems
. 193
7.1
Evaluation principles
. 193
7.2
Data sets for evaluation
. 198
7.3
Evaluation measures
. 203
7.4
Application-specific evaluation
. 213
7.5
Summary
. 216
Part IV Representing, explaining, and processing alignments
8
Frameworks and formats: representing alignments
. 219
8.1
Alignment formats
. 219
8.2
Alignment frameworks
. 2,35
8.3
Ontology editors with alignment manipulation capabilities
. 241
8.4
Summary
. 243
Contents
IX
9
Explaining alignments
. 245
9.1
Justifications
. 245
9.2
Explanation approaches
. 247
9.3
A default explanation
. 249
9.4
Explaining basic matchers
. 251
9.5
Explaining the matching process
. 252
9.6
Arguing about correspondences
. 255
9.7
Summary
. 257
10
Processing alignments
. 259
10.1
Ontology merging
. 260
10.2
Ontology transformation
. 261
10.3
Data translation
. 261
10.4
Mediation
. 262
10.5
Reasoning
. 264
10.6
Towards an alignment service
. 264
10.7
Summary
. 265
Part V Conclusions
11
Conclusions
. 269
11.1
A brief outlook of the trends in the field
. 269
11.2
Future challenges
. 270
11.3
Final words
. 274
Appendix A: Legends of figures
. 275
Appendix B: Running example
. 277
Appendix C: Exercises
. 289
References
. 297
Index
. 323 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Euzenat, Jérôme Shvaiko, Pavel |
author_GND | (DE-588)132230755 |
author_facet | Euzenat, Jérôme Shvaiko, Pavel |
author_role | aut aut |
author_sort | Euzenat, Jérôme |
author_variant | j e je p s ps |
building | Verbundindex |
bvnumber | BV022969306 |
callnumber-first | T - Technology |
callnumber-label | TK5105 |
callnumber-raw | TK5105.88815 |
callnumber-search | TK5105.88815 |
callnumber-sort | TK 45105.88815 |
callnumber-subject | TK - Electrical and Nuclear Engineering |
classification_rvk | ST 300 ST 302 ST 304 |
ctrlnum | (OCoLC)124038270 (DE-599)DNB982806361 |
dewey-full | 005.74 006.3/32 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security 006 - Special computer methods |
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dewey-search | 005.74 006.3/32 |
dewey-sort | 15.74 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
format | Book |
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id | DE-604.BV022969306 |
illustrated | Illustrated |
index_date | 2024-07-02T19:07:53Z |
indexdate | 2024-07-20T09:27:10Z |
institution | BVB |
isbn | 9783540496113 3540496114 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016173580 |
oclc_num | 124038270 |
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owner_facet | DE-20 DE-19 DE-BY-UBM DE-384 DE-29T DE-92 DE-11 DE-355 DE-BY-UBR DE-188 |
physical | IX, 333 S. graph. Darst. 24 cm |
publishDate | 2007 |
publishDateSearch | 2007 |
publishDateSort | 2007 |
publisher | Springer |
record_format | marc |
spelling | Euzenat, Jérôme Verfasser (DE-588)132230755 aut Ontology matching with 18 tables Jérôme Euzenat ; Pavel Shvaiko Berlin [u.a.] Springer 2007 IX, 333 S. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 297 - 321 Inteligência artificial larpcal Ontologia larpcal Semântica larpcal World wide web larpcal Ontologies (Information retrieval) Semantic integration (Computer systems) Datenintegration (DE-588)4197730-0 gnd rswk-swf Schema Informatik (DE-588)4290412-2 gnd rswk-swf Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd rswk-swf Semantic Web (DE-588)4688372-1 gnd rswk-swf Informationssystem (DE-588)4072806-7 gnd rswk-swf Matching (DE-588)4212483-9 gnd rswk-swf Ontologie Wissensverarbeitung (DE-588)4827894-4 s Schema Informatik (DE-588)4290412-2 s Matching (DE-588)4212483-9 s Datenintegration (DE-588)4197730-0 s Informationssystem (DE-588)4072806-7 s Semantic Web (DE-588)4688372-1 s DE-604 Shvaiko, Pavel Verfasser aut text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2910283&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung UB Augsburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016173580&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Euzenat, Jérôme Shvaiko, Pavel Ontology matching with 18 tables Inteligência artificial larpcal Ontologia larpcal Semântica larpcal World wide web larpcal Ontologies (Information retrieval) Semantic integration (Computer systems) Datenintegration (DE-588)4197730-0 gnd Schema Informatik (DE-588)4290412-2 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd Semantic Web (DE-588)4688372-1 gnd Informationssystem (DE-588)4072806-7 gnd Matching (DE-588)4212483-9 gnd |
subject_GND | (DE-588)4197730-0 (DE-588)4290412-2 (DE-588)4827894-4 (DE-588)4688372-1 (DE-588)4072806-7 (DE-588)4212483-9 |
title | Ontology matching with 18 tables |
title_auth | Ontology matching with 18 tables |
title_exact_search | Ontology matching with 18 tables |
title_exact_search_txtP | Ontology matching with 18 tables |
title_full | Ontology matching with 18 tables Jérôme Euzenat ; Pavel Shvaiko |
title_fullStr | Ontology matching with 18 tables Jérôme Euzenat ; Pavel Shvaiko |
title_full_unstemmed | Ontology matching with 18 tables Jérôme Euzenat ; Pavel Shvaiko |
title_short | Ontology matching |
title_sort | ontology matching with 18 tables |
title_sub | with 18 tables |
topic | Inteligência artificial larpcal Ontologia larpcal Semântica larpcal World wide web larpcal Ontologies (Information retrieval) Semantic integration (Computer systems) Datenintegration (DE-588)4197730-0 gnd Schema Informatik (DE-588)4290412-2 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd Semantic Web (DE-588)4688372-1 gnd Informationssystem (DE-588)4072806-7 gnd Matching (DE-588)4212483-9 gnd |
topic_facet | Inteligência artificial Ontologia Semântica World wide web Ontologies (Information retrieval) Semantic integration (Computer systems) Datenintegration Schema Informatik Ontologie Wissensverarbeitung Semantic Web Informationssystem Matching |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=2910283&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016173580&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT euzenatjerome ontologymatchingwith18tables AT shvaikopavel ontologymatchingwith18tables |