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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Improving Search Query Matching for Electronic TV Program Guide Data Extraction
| Title: | Improving Search Query Matching for Electronic TV Program Guide Data Extraction |
| Authors: | Kiselev, Denis Browse this author | | Rzepka, Rafal Browse this author →KAKEN DB | | Araki, Kenji Browse this author →KAKEN DB |
| Keywords: | Lexical Semantics | | NLP | | EPG | | Information Retrieval | | Query Processing | | Morphological Parsing |
| Issue Date: | Sep-2013 |
| Publisher: | IEEE |
| Journal Title: | 2013 IEEE Seventh International Conference on Semantic Computing, Irvine, CA, USA, September 16-18, 2013 |
| Start Page: | 146 |
| End Page: | 149 |
| Publisher DOI: | 10.1109/ICSC.2013.34 |
| Abstract: | This paper describes a system for searching the Web-based Japanese TV program guide. The system features using morphological parsing and part-of-speech analysis to locate words with nominal and attributive semantic features in the query. Such words are matched mandatorily when searching the TV program guide text, while other words are matched optionally. Moreover, certain words and morphemes are removed from the query as they are considered to have little semantic value. The system checks every query against a stop list of such words and morphemes. Other processing methods, e.g. reversing the search phrase word order and allowing "zero or more words" between the search target words, are also utilized. The present paper uses TV guide search examples to demonstrate how the proposed method can improve Japanese TV program data search results. The paper also contains a few ideas about ways the method could be used for other languages. |
| Conference Name: | International Conference on Semantic Computing |
| Conference Sequence: | 7 |
| Conference Place: | Irvine, CA |
| Rights: | © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Type: | proceedings (author version) |
| URI: | http://hdl.handle.net/2115/63959 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: RZEPKA Rafal
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