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A semantic layer on semi-structured data sources for intuitive chatbots
Abstract The main limits of chatbot technology are The main limits of chatbot technology are related to the building of their knowledge representation and to their rigid information retrieval and dialogue capabilities, usually based on simple "pattern matching rules". The analysis of distributional properties of words in a texts corpus allows the creation of semantic spaces where represent and compare natural language elements. This space can be interpreted as a "conceptual" space where the axes represent the latent primitive concepts of the analyzed corpus. The presented work aims at exploiting the properties of a data-driven semantic/conceptual space built using semistructured data sources freely available on the web, like Wikipedia. This coding is equivalent to adding, into the Wikipedia graph, a conceptual similarity relationship layer. The chatbot can exploit this layer in order to simulate an "intuitive" behavior, attempting to retrieve semantic relations between Wikipedia resources also through associative sub-symbolic paths.so through associative sub-symbolic paths.
Abstractsub The main limits of chatbot technology are The main limits of chatbot technology are related to the building of their knowledge representation and to their rigid information retrieval and dialogue capabilities, usually based on simple "pattern matching rules". The analysis of distributional properties of words in a texts corpus allows the creation of semantic spaces where represent and compare natural language elements. This space can be interpreted as a "conceptual" space where the axes represent the latent primitive concepts of the analyzed corpus. The presented work aims at exploiting the properties of a data-driven semantic/conceptual space built using semistructured data sources freely available on the web, like Wikipedia. This coding is equivalent to adding, into the Wikipedia graph, a conceptual similarity relationship layer. The chatbot can exploit this layer in order to simulate an "intuitive" behavior, attempting to retrieve semantic relations between Wikipedia resources also through associative sub-symbolic paths.so through associative sub-symbolic paths.
Bibtextype inproceedings  +
Doi 10.1109/CISIS.2009.165  +
Has author Augello A. + , Vassallo G. + , Gaglio S. + , Pilato G. +
Has extra keyword Chatbots + , Data-driven + , Distributional property + , Natural languages + , Semantic layer + , Semantic relations + , Semantic Space + , Semi structured data + , Sub-symbolic + , Wikipedia + , Computer software + , Information services + , Pattern matching + , Query languages + , Semantics + , Knowledge representation +
Isbn 9780769535753  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 760–765  +
Published in Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009 +
Title A semantic layer on semi-structured data sources for intuitive chatbots +
Type conference paper  +
Year 2009 +
Creation dateThis property is a special property in this wiki. 6 November 2014 16:07:46  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 16:07:46  +
DateThis property is a special property in this wiki. 2009  +
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