Ontology Learning and Population from Text - Algorithms, Evaluation and Applications
von: Philipp Cimiano
Springer-Verlag, 2006
ISBN: 9780387392523
Sprache: Englisch
362 Seiten, Download: 19046 KB
Format: PDF, auch als Online-Lesen
Mehr zum Inhalt
Ontology Learning and Population from Text - Algorithms, Evaluation and Applications
Contents | 7 | ||
List of Figures | 11 | ||
List of Tables | 13 | ||
Foreword | 15 | ||
Preface | 17 | ||
Acknowledgements | 21 | ||
Abbreviations | 25 | ||
Mathematical Notation | 27 | ||
Part I Preliminaries | 29 | ||
Introduction | 30 | ||
Ontologies | 35 | ||
Ontology Learning from Text | 44 | ||
3.1 Ontology Learning Tasks | 48 | ||
Basics | 60 | ||
4.1 Natural Language Processing | 60 | ||
4.2 Formal Concept Analysis | 81 | ||
4.3 Machine Learning | 87 | ||
Datasets | 101 | ||
5.1 Corpora | 101 | ||
5.2 Concept Hierarchies | 103 | ||
5.3 Population Gold Standard | 105 | ||
Part II Methods and Applications | 106 | ||
Concept Hierarchy Induction | 107 | ||
6.1 Common Approaches | 108 | ||
6.2 Learning Concept Hierarchies with FCA | 116 | ||
6.3 Guided Clustering | 145 | ||
6.4 Learning from Heterogeneous Sources of Evidence | 164 | ||
6.5 Related Work | 178 | ||
6.6 Conclusion and Open Issues | 204 | ||
Learning Attributes and Relations | 207 | ||
7.1 Common Approaches | 207 | ||
7.2 Learning Attributes | 210 | ||
7.3 Learning Relations from Corpora | 221 | ||
7.4 Learning Qualia Structures from the Web | 229 | ||
7.5 Related Work | 244 | ||
7.6 Conclusion and Open Issues | 252 | ||
Population | 254 | ||
8.1 Common Approaches | 255 | ||
8.2 Corpus-based Population | 259 | ||
8.3 Learning by Googling | 270 | ||
8.4 Related Work | 295 | ||
8.5 Conclusion and Open Issues | 300 | ||
Applications | 302 | ||
9.1 Text Clustering and Classification | 304 | ||
9.2 Information Highlighting for Supporting Search | 313 | ||
9.3 Related Work | 320 | ||
9.4 Contribution and Open Issues | 325 | ||
Part III Conclusion | 327 | ||
Contribution and Outlook | 328 | ||
Concluding Remarks | 330 | ||
Appendix | 332 | ||
A. l Learning Accuracy | 332 | ||
A.2 Mutually Similar Words for the tourism domain | 336 | ||
A.3 Mutually Similar Words for the finance domain | 337 | ||
A.4 The Penn Treebank Tag Set | 339 | ||
References | 340 | ||
Index | 363 |