EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES
Koji Kurakado, Tetsuya Oishi, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura
2011
Abstract
Many people these days access a vast document on theWeb very often with the help of search engines such as Google. However, even if we use the search engine, it is often the case that we cannot find desired information easily. In this paper, we extract related words for the search query by analyzing link information and category structure. we aim to assist the user in retrieving web pages by reranking search results.
References
- Chernov, S., Iofciu, T., Nejdl, W., and Zhou, X. (2006). Extracting semantic relationships between wikipedia categories. In Proc. of Workshop on Semantic Wikis (SemWiki 2006). Citeseer.
- Cilibrasi, R. et al. (2007). The google similarity distance. IEEE Transactions on knowledge and data engineering, pages 370-383.
- Finkelstein, L., Gabrilovich, E., Matias, Y., Rivlin, E., Solan, Z., Wolfman, G., and Ruppin., E. (2002). WordSimilarity-353 Test Collection.
- Gabrilovich, E. and Markovitch, S. (2007). Computing semantic relatedness using wikipedia-based explicit semantic analysis. In Proc. of IJCAI-07, pages 6-12.
- Hori, K., Oishi, T., Mine, T., Hasegawa, R., Fujita, H., and Koshimura., M. (2010). Related Word Extraction from Wikipedia for Web Retrieval Assistance. In Proc. of ICAART 2010 vol.2, pages 192-199.
- Ito, M., Nakayama, K., Hara, T., and Nishio, S. (2008). Association thesaurus construction methods based on link co-occurrence analysis for wikipedia. In Proc. of the 17th ACM conference on Information and knowledge management, pages 817-826. ACM.
- Nakatani, M., Jatowt, A., Ohshima, H., and Tanaka, K. (2009). Quality evaluation of search results by typicality and speciality of terms extracted from wikipedia. In Database Systems for Advanced Applications, pages 570-584. Springer Berlin/Heidelberg.
- Nakayama, K., Hara, T., and Nishio, S. (2007). Wikipedia mining for an association web thesaurus construction. Web Information Systems Engineering-WISE 2007, pages 322-334.
- Page, L., Brin, S., Motwani, R., and Winograd, T. (1998). The pagerank citation ranking: Bringing order to the web.
- Ponzetto, S. and Strube, M. (2006). Wikirelate! computing semantic relatedness using wikipedia. In Proc. AAAI06, pages 1419-1424.
- Schutze, H. and Pedersen, J. (1997). A cooccurrencebased thesaurus and two applications to information retrieval. Information Processing & Management, 33(3):307-318.
- Sumida, A., Yoshinaga, N., and Torisawa, K. (2008). Boosting precision and recall of hyponymy relation acquisition from hierarchical layouts in wikipedia. In Proc. of the LREC 2008.
- Witten, I. and Milne, D. (2008). An effective, low-cost measure of semantic relatedness obtained from Wikipedia links. In Proc. of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy, AAAI Press, Chicago, USA, pages 25-30.
Paper Citation
in Harvard Style
Kurakado K., Oishi T., Hasegawa R., Fujita H. and Koshimura M. (2011). EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 376-381. DOI: 10.5220/0003183003760381
in Bibtex Style
@conference{icaart11,
author={Koji Kurakado and Tetsuya Oishi and Ryuzo Hasegawa and Hiroshi Fujita and Miyuki Koshimura},
title={EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={376-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003183003760381},
isbn={978-989-8425-40-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES
SN - 978-989-8425-40-9
AU - Kurakado K.
AU - Oishi T.
AU - Hasegawa R.
AU - Fujita H.
AU - Koshimura M.
PY - 2011
SP - 376
EP - 381
DO - 10.5220/0003183003760381