A knowledge based approach for capturing rich semantic representations from text for intelligent systems
Source: International Journal of Advanced Intelligence Paradigms, Volume 2, Number 1, 30 November 2009 , pp. 33-48(16)
Publisher: Inderscience Publishers
Abstract:In this paper, we present a knowledge based approach to capture semantic representations from text for intelligent systems that know the representations of interest in advance. Our approach performs this task by generating phrases from these representations and then matching these phrases against text using a set of syntactic and semantic transformations. The representation that best matches a piece of text is selected as its meaning. We evaluate our approach in the context of a real‐world intelligent system that tracks the maturity of wireless technologies, and show how our approach performs well on capturing semantic representations from text.
Document Type: Research Article
Publication date: 30 November 2009
- The International Journal of Advanced Intelligence Paradigms fosters the exchange and dissemination of applications and case studies in the area of advanced intelligence paradigms among professionals in education and research. The thrust of the journal is to publish papers dealing with the design, development, testing, implementation and management of advanced intelligent systems and also to provide practical guidelines in the development and management of these systems. The International Journal of Advanced Intelligence Paradigms will publish both archival articles and broader assessments of current trends. It provides a medium for exchanging scientific research and technological achievements accomplished by the international community.