Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Revisiting Ontology Design: A Methodology Based on Corpus Analysis
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Text Mining for Causal Relations
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Natural Language-Based Approach for Helping in the Reuse of Ontology Design Patterns
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Discovering Groups of Sibling Terms from Web Documents with XTREEM-SG
Journal on Data Semantics XI
The TERMINAE Method and Platform for Ontology Engineering from Texts
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Contextual semantic annotations: modelling and automatic extraction
Proceedings of the fifth international conference on Knowledge capture
Inference of lexical ontologies. The LeOnI methodology
Artificial Intelligence
Survey on ontology learning from Web and open issues
ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology
Controlled knowledge base enrichment from web documents
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
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Pattern-based approaches for knowledge identification in texts assume that linguistic regularities always characterise the same kind of knowledge, such as semantic relations. We report the experimental evaluation of a large set of patterns using an ontology enrichment tool: Caméléon. Results underline the strong corpus influence on the patterns efficiency and on their meaning. This influence confirms two of the hypotheses that motivated to define Caméléon as a support used in a supervised process: (1) patterns and relations must be adapted to each project; (2) human interpretation is required to decide how to report in the ontology the pieces of knowledge identified with patterns.