Abstract
This article presents a new idea for retrieving in text repositories, as well as it describes general infrastructure of a system created to implement and test those ideas. The implemented system differs from today’s standard search engine by introducing process of interactive search with users and data clustering. We present the basic algorithms behind our system and measures we used for results evaluation. The achieved results indicates the proposed method can be useful for improvement of classical approaches based on keywords.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Salton, G., McGill, M.: Introduction to modern information retrieval (1986)
Silverstein, C., Marais, H., Henzinger, M., Moricz, M.: Analysis of a very large web search engine query log. ACM SIGIR Forum. 33, 6–12 (1999)
Stonebraker, M., Wong, B., et al.: Deep-web search engine ranking algorithms. PhD thesis, Massachusetts Institute of Technology (2010)
Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web (1999)
Zhou, D., Bian, J., Zheng, S., Zha, H., Giles, C.: Exploring social annotations for information retrieval. In: Proceeding of the 17th International Conference on World Wide Web, pp. 715–724. ACM (2008)
Farnham, S., Lahav, M., Raskino, D., Cheng, L., Ickman, S., Laird-McConnell, T.: So. cl: An interest network for informal learning. In: Sixth International AAAI Conference on Weblogs and Social Media (2012)
Sanderson, M., Croft, W.: The history of information retrieval research. Proceedings of the IEEE 100 (2012) 0018–9219
Scholer, F., Williams, H., Yiannis, J., Zobel, J.: Compression of inverted indexes for fast query evaluation. In: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 222–229. ACM (2002)
Ester, M., Kriegel, H., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, vol. 1996, pp. 226–231. AAAI Press (1996)
Baeza-Yates, R., Ribeiro-Neto, B., et al.: Modern information retrieval, vol. 82. Addison-Wesley, New York (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Deptuła, M., Szymański, J., Krawczyk, H. (2013). Interactive Information Search in Text Data Collections. In: Bembenik, R., Skonieczny, L., Rybinski, H., Kryszkiewicz, M., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35647-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-35647-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35646-9
Online ISBN: 978-3-642-35647-6
eBook Packages: EngineeringEngineering (R0)