TaxaMiner: an experimentation framework for automated taxonomy bootstrapping
International Journal of Web and Grid Services
CRCTOL: A semantic-based domain ontology learning system
Journal of the American Society for Information Science and Technology
Acquiring competitive intelligence from social media
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
The construction of domain ontology and its application to document retrieval
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
Discovering ontologies for e-learning platforms
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Document retrieval using semantic relation in domain ontology
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
The precision improvement in document retrieval using ontology based relevance feedback
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Constructing an ontology based on terminology processing
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
A web-based novel term similarity framework for ontology learning
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Ontology-based concept similarity in Formal Concept Analysis
Information Sciences: an International Journal
ArabOnto: experimenting a new distributional approach for building Arabic ontological resources
International Journal of Metadata, Semantics and Ontologies
Learning a Lightweight Ontology for Semantic Retrieval in Patient-Centered Information Systems
International Journal of Knowledge Management
Representing and Reasoning About XML with Ontologies
Applied Intelligence
CFinder: An intelligent key concept finder from text for ontology development
Expert Systems with Applications: An International Journal
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Though the utility of domain ontologies is now widely acknowledged in the IT (Information Technology) community, several barriers must be overcome before ontologies become practical and useful tools. A critical issue is the ontology construction, i.e., the task of identifying, defining, and entering the concept definitions. In case of large and complex application domains this task can be lengthy, costly, and controversial (since different persons may have different points of view about the same concept). To reduce time, cost (and, sometimes, harsh discussions) it is highly advisable to refer, in constructing or updating an ontology, to the documents available in the field. Text mining tools may be of great help in this task. The work presented in this paper illustrates the guidelines of SymOntos, ontology management system, and the text mining approach adopted herein to support ontology building. The latter operates by extracting, from the related literature, the prominent domain concepts and the semantic relations among them.