论文信息 - Structuring Domain Knowledge by Semi-automatic Ontology Construction

Structuring Domain Knowledge by Semi-automatic Ontology Construction

In this paper, we present a case in semi-automatic ontology construction from literature. For this, we concentrate on the articles about autism obtained from the PubMed Central database. Our motivation was to investigate how separate parts of articles, such as titles, abstracts and full texts, influence the constructed ontology. Our results confirm the intuitive expectation that constructing ontologies from abstracts is a rational choice when uncovering the structure of a given scientific field. In addition, when compared to general knowledge of autism, ontology concepts from abstracts show the highest similarity

[1] Tanja Urbancic,et al. Literature Mining: Towards Better Understanding of Autism , 2007, AIME.

[2] Henrik Eriksson,et al. The evolution of Protégé: an environment for knowledge-based systems development , 2003, Int. J. Hum. Comput. Stud..

[3] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.

[4] William R. Hersh,et al. A Comparison of Techniques for Classification and Ad Hoc Retrieval of Biomedical Documents , 2005, TREC.

[5] Anupam Joshi,et al. Data Mining, Semantics and Intrusion Detection: What to dig for and Where to find it , 2003 .

[6] Marko Grobelnik,et al. Feature Selection Using Support Vector Machines , 2002 .

[7] T. Bourgeron,et al. Searching for ways out of the autism maze: genetic, epigenetic and environmental clues , 2006, Trends in Neurosciences.

[8] Bert Bredeweg,et al. Ontological Modelling for Designing Educational Systems , 1999 .

[9] D. Mladení,et al. SEMI-AUTOMATIC DATA-DRIVEN ONTOLOGY CONSTRUCTION SYSTEM , 2006 .

[10] Marko Grobelnik,et al. A SURVEY OF ONTOLOGY EVALUATION TECHNIQUES , 2005 .