An intelligent platform for information retrieval
Authors: 
Fang Li, Xuanjing HuangAuthors Info & Claims
Abstract
Information Retrieval (IR) has played a very important role in our modern life. However, the results of search engines are not satisfactory for human intelligent activities. The platform proposed in this paper tried to solve the problems from three aspects: One is to provide domain specific IR, which consists of task oriented searching and topic related filtering. The second is to provide open-domain, concept-based retrieval to reduce irrelevant pages and overcome ambiguous keywords. The third is to provide the exact answer by question answering. The intelligent platform will facilitate searching ability on the Web. It will be easier for users to locate the interest information by keywords or questions. Researches described in the paper are developed at Shanghai Jiaotong universities and Fudan university. The experiments have showed a promising result from each aspect. The integration of these three aspects is one of the challenges of IR in the near future.
References
[1]
Fang Li, Huanye Sheng.: Personal Information Extraction from their Homepage. In the Proceeding of 8th JSCL 2005, NanJing China.
[2]
Fang Li, et al.: Virtual Information center for human interaction in the Human Interaction with Machines edited by Hommel, G. and Huanye Sheng, Proceedings of the 6th International Workshop held at the Shanghai JiaoTong University, March 15-16, 2005 by Spring Verlag.
[3]
S. Robertson, D. Hull.: The TREC-9 Filtering Track Final Report In Proceeding of the Ninth Text Retrieval Conference (TREC-9) Feb. (2001).
[4]
Agrawal R, Imielinski T, Swami A.: Mining association rules between sets of items in large databases. In the Proceeding of the 1993 ACM SIGMOD International Conference on Management of data.
[5]
Chen Z, He Q, Ma J, Ma W, Zeng H.: Learning to cluster web search results. In the Proceeding of ACM SIGIR (2004).
[6]
Hirschman.: Natural Language Question Answering, the view from here, Journal of Natural Language Engineering, Special Issue on Question Answering, Fall-Winter (2001).
[7]
Daniel Sleator and Davy Temperley.: Parsing English with a Link Grammar. In the Proceeding of Third International Workshop on Parsing Technologies. (1993).
[8]
Brill, Eric.: Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part of Speech Tagging. Computational Linguistics, Dec. (1995).
[9]
E.M. Voorhees.: Overview of the TREC 2004 Question Answering Track, in the Proceeding of the Thirteenth Text Retrieval Conference (TREC-13) Feb. (2005).
[10]
Tony Veale.: The challenge of Creative Information Retrieval in A. Gelbukh (Ed.) Computational Linguistics and Intelligent Text Processing Lecture Notes in Computer Science, Vol. 2945. Springer-Verlag, Berlin Heidelberg New York (2004) 457-467.
- An intelligent platform for information retrieval
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Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 07 March 2005
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