NLPX at INEX 2005

Woodley, Alan P. & Geva, Shlomo (2006) NLPX at INEX 2005. Lecture Notes in Computer Science, 3977, 358 -372.

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XML information retrieval (XML-IR) systems aim to provide users with highly exhaustive and highly specific results. To interact with XML-IR systems users must express both their content and structural needs in the form of a structured query. Historically, these structured queries have been formatted using formal languages such as XPath or NEXI. Unfortunately, formal query languages are very complex and too difficult to be used by experienced, let alone casual, users and are too closely bound to the underlying physical structure of the collection. Hence, recent research has investigated the idea of specifying users’ content and structural requirements via natural language queries (NLQs). The NLP track was established at INEX 2004 to promote research into this area, and QUT participated with the system NLPX. Here, we discuss changes we’ve made to the system since last year, as well as our participation in INEX 2005.

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1 citations in Scopus
2 citations in Web of Science®
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ID Code: 9704
Item Type: Journal Article
Refereed: Yes
Keywords: XML, Information Retrieval, XML Information Retrieval, XML, IR, Natural Language, Natural Language Queries, NLPX
DOI: 10.1007/978-3-540-34963-1_27
ISBN: 3540349626
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2006 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. Lecture Notes in Computer Science
Deposited On: 25 Sep 2007 00:00
Last Modified: 24 Jun 2017 14:38

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