XML search

Author:

Amer-Yahia Sihem1,Lalmas Mounia2

Affiliation:

1. AT&T Labs Research, Florham Park, NJ

2. University of London, London

Abstract

The development of approaches to access XML content has generated a wealth of issues in information retrieval (IR) and database (DB) (e.g., [2, 15, 17, 20, 19, 47, 26, 32, 24]). While the IR community has traditionally focused on searching unstructured content, and has developed various techniques for ranking query results and evaluating their effectiveness, the DB community has focused on developing query languages and efficient evaluation algorithms for highly structured content. Recent trends in DB and IR research demonstrate a growing interest in merging IR and DB techniques for accessing XML content. Support for a combination of "structured" and full-text search for effectively querying XML documents was unanimous in a recent panel at SIGMOD 2005 [3], and is being widely studied in the IR community [20].

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic and Analytical Field Weighting for Structured Document Retrieval;Lecture Notes in Computer Science;2023

2. Solon: A Holistic Approach for Modelling, Managing and Mining Legal Sources;Algorithms;2018-12-03

3. Content-Only Query;Encyclopedia of Database Systems;2018

4. Content-and-Structure Query;Encyclopedia of Database Systems;2018

5. Ranked XML Processing;Encyclopedia of Database Systems;2018

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