A hybrid approach for indexing and retrieval of archaeological textual information

Authors:
Ammar Halabi;Ahmed-Derar Islim;Mohamed-Zakaria Kurdi
Affiliations:
School of Informatics and Computing, Indiana University, Bloomington;Financial Mathematics Department, Florida State University, Tallahassee;School of Informatics and Computing, Indiana University, Bloomington and Department of Computer Science, Mamoun University of Science and Technology, Aleppo, Syria
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Year:
2010

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Abstract

This paper focuses on the problem of archaeological textual information retrieval, covering various field-related topics, and investigating different issues related to special characteristics of Arabic. The suggested hybrid retrieval approach employs various clustering and classification methods that enhances both retrieval and presentation, and infers further information from the results returned by a primary retrieval engine, which, in turn, uses Latent Semantic Analysis (LSA) as a primary retrieval method. In addition, a stemmer for Arabic words was designed and implemented to facilitate the indexing process and to enhance the quality of retrieval. The performance of our module was measured by carrying out experiments using standard datasets, where the system showed promising results with many possibilities for future research and further development.