Dyniqx: a novel meta-search engine for metadata based cross search

Zhu, Jianhan; Song, Dawei; Eisenstadt, Marc; Barladeanu, Cristi and Rüger, Stefan (2008). Dyniqx: a novel meta-search engine for metadata based cross search. In: 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), pp. 204–209.

DOI: https://doi.org/10.1109/ICADIWT.2008.4664345

Abstract

The effect of metadata in collection fusion has not been sufficiently studied. In response to this, we present a novel meta-search engine called Dyniqx for metadata based cross search. Dyniqx exploits the availability of metadata in academic search services such as PubMed and Google Scholar etc for fusing search results from heterogeneous search engines. In addition, metadata from these search engines are used for generating dynamic query controls such as sliders and tick boxes etc which are used by users to filter search results. Our preliminary user evaluation shows that Dyniqx can help users complete information search tasks more efficiently and successfully than three well known search engines respectively.

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• Item ORO ID
• 25889
• Item Type
• Conference or Workshop Item
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• Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
• Keywords
• Dyniqx; dynamic query controls; meta search engine; metadata based cross search
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
  Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
• Research Group
• Centre for Research in Computing (CRC)
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• © 2008 IEEE
• Depositing User
• Kay Dave