Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks

Derek Sleeman, E. Thomas, A. Aiken

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution


The paper describes several classes of tasks namely solving word problems, and classifying datasets using machine learning techniques, where the tasks may not be solvable because the information provided is incomplete. We explore the Situation where one has a central concept and the missing information can either be a further descriptor / field of that concept or a (distantly) related concept. We describe how an ontology search engine has assisted in solving such problems, by summarizing the frequency of occurrence of descriptors found in a group of relevant ontologies, and by reporting which concepts are related to the central concept. The search engine used in this work has been ONTOSEARCH2. We further speculate about how Such a "concept web" might be used to Support the analysis and generation of natural language texts as well as spoken language.

Original languageEnglish
Title of host publicationApplications and innovations in intelligent systems XVI
Subtitle of host publicationProceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
EditorsTony Allen, Richard Ellis, Miltos Petridis
Place of PublicationGodalming
Number of pages14
ISBN (Print)978-1-84882-214-6
Publication statusPublished - 2009


  • artificial intelligence
  • intelligent systems


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