Publication details

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

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Year of publication 2011
Type Article in Proceedings
Conference Proceedings of 3rd International Conference on Machine Learning and Computing (ICMLC 2011)
MU Faculty or unit

Faculty of Informatics

Field Informatics
Keywords Transparent Intensional Logic; Knowledge Base; Dolphin; Inference; Temporal aspect; News answering machine;
Description 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.
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