WordNet: a lexical database for English
Communications of the ACM
Mastering regular expressions
An organizational ontology for enterprise modeling
Simulating organizations
Bottom-up relational learning of pattern matching rules for information extraction
The Journal of Machine Learning Research
The Knowledge Engineering Review
Automatic construction of a hypernym-labeled noun hierarchy from text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Gimme' the context: context-driven automatic semantic annotation with C-PANKOW
WWW '05 Proceedings of the 14th international conference on World Wide Web
Survey of semantic annotation platforms
Proceedings of the 2005 ACM symposium on Applied computing
Structural Semantic Interconnections: A Knowledge-Based Approach to Word Sense Disambiguation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A bootstrapping method for learning semantic lexicons using extraction pattern contexts
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Semantic indexing of a competence map to support scientific collaboration in a research community
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A grid application service framework for extracted sub-ontology update
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Generating concept map exercises from textbooks
IUNLPBEA '11 Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications
Extraction of concept maps from textbooks for domain modeling
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
Linked legal data: improving access to regulations
Proceedings of the 13th Annual International Conference on Digital Government Research
Journal of Web Engineering
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Learning ontologies requires the acquisition of relevant domain concepts and taxonomic, as well as non-taxonomic, relations. In this chapter, we present a methodology for automatic ontology enrichment and document annotation with concepts and relations of an existing domain core ontology. Natural language definitions from available glossaries in a given domain are processed and regular expressions are applied to identify general-purpose and domain-specific relations. We evaluate the methodology performance in extracting hypernymy and non-taxonomic relations. To this end, we annotated and formalized a relevant fragment of the glossary of Art and Architecture (AAT) with a set of 10 relations (plus the hypernymy relation) defined in the CRM CIDOC cultural heritage core ontology, a recent W3C standard. Finally, we assessed the generality of the approach on a set of web pages from the domains of history and biography.