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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(4): 487-491 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.173

Knowledge Base for Transparent Intensional Logic and Its Use in Automated Daily News Retrieval and Answering Machine

A. Gardoň and A. Horák
Abstract—This paper describes the design of a knowledge representation and reasoning system, named Dolphin, which is based on higher-order temporal Transparent Intensional Logic (TIL). An intelligent agent (NAM), that is able to read newspaper headlines from specialized internet server and allows users to ask questions about various world situations is chosen to demonstrate Dolphin features. Temporal aspects play an essential role in natural language therefore we present how this phenomenon is handled in the system. Reasoning capabilities of the agent are divided into three individual strategies and described in the text. As a result we compare NAM answers to one of the most used search engines nowadays.

Index Terms—Transparent Intensional Logic, Knowledge Base, Dolphin, Inference, Temporal aspect, News answering machine.

The authors are with Masaryk University, Faculty of Informatics, Czech republic (e-mail: xgardon@fi.muni.cz; xhorak@fi.muni.cz).

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Cite:A. Gardoň and A. Horák, "Knowledge Base for Transparent Intensional Logic and Its Use in Automated Daily News Retrieval and Answering Machine," International Journal of Machine Learning and Computing vol.2, no. 4, pp. 487-491, 2012.

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