Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
User-System Cooperation in Document Annotation Based on Information Extraction
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Semantic Commitment for Designing Ontologies: A Proposal
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Evolving GATE to meet new challenges in language engineering
Natural Language Engineering
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Merging of legal micro-ontologies from Europen directives
Artificial Intelligence and Law - Legal knowledge extraction and searching & legal ontology applications
Text analysis for ontology and terminology engineering
Applied Ontology
Learning Expressive Ontologies
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Weakly Supervised Approaches for Ontology Population
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Automatically Harvesting and Ontologizing Semantic Relations
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
A Methodology for Ontology Learning
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Improving term extraction with terminological resources
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Designing and evaluating patterns for ontology enrichment from texts
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Use and reuse of legal ontologies in knowledge engineering and information management
Law and the Semantic Web
A Methodology for Ontology Learning
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Integrating written policies in business rule management systems
RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Financial news semantic search engine
Expert Systems with Applications: An International Journal
BioOntoVerb: A top level ontology based framework to populate biomedical ontologies from texts
Knowledge-Based Systems
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Designed about ten years ago, the TERMINAE method and workbench for ontology engineering from texts have been going on evolving since then. Our investigations integrate the experience gained through its use in industrial and academic projects, the progress of natural language processing as well as the evolution of the ontology engineering. Several new methodological guidelines, such as the reuse of core ontologies, have been added to the method and implemented in the workbench. It has also been modified in order to be compliant to some recent standards such as the OWL knowledge representation. The paper recalls the terminology engineering principles underlying TERMINAE and comments its originality. Then it presents the kind of conceptual model that is built with this method, and its knowledge representation. The method and the support provided by the workbench are detailed and illustrated with a case-study in law. With regard to the state of the art, TERMINAE is one of the most supervised methods in the trend of ontology learning. This option raises epistemological issues about how language and knowledge can be articulated and the distance that separate formal ontologies from learned conceptual models.