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