Summary of the paper
| Title | Semi-Automatic Domain Ontology Creation from Text Resources |
|---|---|
| Authors | Mithun Balakrishna, Dan Moldovan, Marta Tatu and Marian Olteanu |
| Abstract | Analysts in various domains, especially intelligence and financial, have toconstantly extract useful knowledge from large amounts of unstructured orsemi-structured data. Keyword-based search, faceted search, question-answering,etc. are some of the automated methodologies that have been used to helpanalysts in their tasks. General-purpose and domain-specific ontologies havebeen proposed to help these automated methods in organizing data and providingaccess to useful information. However, problems in ontology creation andmaintenance have resulted in expensive procedures for expanding/maintaining theontology library available to support the growing and evolving needs ofanalysts. In this paper, we present a generalized and improved procedure toautomatically extract deep semantic information from text resources and rapidlycreate semantically-rich domain ontologies while keeping the manualintervention to a minimum. We also present evaluation results for theintelligence and financial ontology libraries, semi-automatically created byour proposed methodologies using freely-available textual resources from theWeb. |
| Language | Semantics |
| Topics | Ontologies, Knowledge Discovery/Representation, Semantics |
Full paper  |
Semi-Automatic Domain Ontology Creation from Text Resources |
| Bibtex | @InProceedings{BALAKRISHNA10.627, author = {Mithun Balakrishna, Dan Moldovan, Marta Tatu and Marian Olteanu}, title = {Semi-Automatic Domain Ontology Creation from Text Resources}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |