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Flexible Search Combining an Ontology, Case-Based Reasoning and Natural Language Processing

Authors:

Henrik Bovin , Peter Sävström , Peter Funk

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

SAIS-SSLS Joint Workshop 2005, April 12-14

Abstract

Methods and techniques based on statistical analysis, natural language processing and artificial intelligence are increasingly used to produce better results in web based search engines. The selection of methods and techniques are strongly limited by the vast amount of documents and information, lack of domain knowledge and the limited resources to process and analyze. Despite these limitations results are mostly sufficiently good for users since user grasps how hard the problem is and have a high tolerance towards results. Unfortunately often the same set of methods and techniques are used in domains where the amount of documents are limited and where knowledge on the structure of documents is available. In such domains the potential for improving search results is large. We propose the combination of case based reasoning, natural language processing, domain knowledge about the structures in documents and using an ontology to improve results. User feedback is also used to improve results over time. Synonyms are used parallel with an ontology to improve query flexibility. A help desk prototype using these techniques has been constructed and initial user tests show promising results

Bibtex

@inproceedings{Bovin728,
author = {Henrik Bovin and Peter S{\"a}vstr{\"o}m and Peter Funk},
title = {Flexible Search Combining an Ontology, Case-Based Reasoning and Natural Language Processing},
volume = {1},
number = {1},
pages = {35--44},
month = {April},
year = {2005},
booktitle = {SAIS 2005},
url = {http://www.es.mdu.se/publications/728-}
}