Organizing information: principles of data base and retrieval systems
Organizing information: principles of data base and retrieval systems
Automatic thesaurus construction by machine learning from retrieval sessions
Information Processing and Management: an International Journal
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Visualizing science by citation mapping
Journal of the American Society for Information Science
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
ACM Computing Surveys (CSUR)
Evaluation of DEFINDER: a system to mine definitions from consumer-oriented medical text
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Interfacing between Lawyers and Computers: An Architecture for Knowledge-Based Interfaces to Legal Databases
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
TERMINAE: A Linguistic-Based Tool for the Building of a Domain Ontology
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
Revisiting Ontology Design: A Methodology Based on Corpus Analysis
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
A Formal Ontology of Properties
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
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
Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Quantitative and qualitative evaluation of the OntoLearn ontology learning system
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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After a recent breakthrough in the early 90's, text analysis is acknowledged as one of the promising ways to rapidly build better grounded semantic resources such as terminologies and ontologies. This domain has recently undergone significant evolutions with a massive reference to machine learning algorithms and information extraction techniques together with linguistic- and statistic-based natural language processing. This position paper promotes three main ideas: (i) that highly domain-specific or task-specific, even idiosyncratic ontologies, are very useful, especially when they are linked to broader consensual schemes and they can be built with reasonable effort; (ii) that corpus-based ontologies can capture the perspective of a domain; and (iii) that supervised ontology learning from text makes feasible the development of specialized ontologies adapted for specific uses. We propose the establishment of an inventory of tools for building ontologies from text, give a first classification of such tools, and present an initial review of some recent methods and tools.