Concept description vectors and the 20 question game

Julian Szymański; Tomasz Sarnatowicz; Włodzisław Duch

doi:10.1007/3-540-32392-9_5

Concept description vectors and the 20 question game

Abstract

Knowledge of properties that are applicable to a given object is a necessary prerequisite to formulate intelligent question. Concept description vectors provide simplest representation of this knowledge, storing for each object information about the values of its properties. Experiments with automatic creation of concept description vectors from various sources, including ontologies, dictionaries, encyclopedias and unstructured text sources, are described. Information collected in this way is used to formulate questions that have high discriminating power in the twenty questions game.

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Authors (3)

Julian Szymański dr hab. inż.
Tomasz Sarnatowicz
- . .
Włodzisław Duch prof. dr hab.
- Uniwersytet Mikołaja Kopernika Katedra Informatyki Stosowanej

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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: Intelligent Information Processing and Web Mining, Proceedings strony 41 - 50
ISSN:: 1615-3871
Language:: English
Publication year:: 2005
Bibliographic description:: Szymański J., Sarnatowicz T., Duch W..: Concept description vectors and the 20 question game, W: Intelligent Information Processing and Web Mining, Proceedings, 2005, SPRINGER-VERLAG BERLIN,.
DOI:: Digital Object Identifier (open in new tab) 10.1007/3-540-32392-9_5
Verified by:: Gdańsk University of Technology