DYNIQX: A novel meta-search engine for metadata based cross search

Jianhan Zhu*, Dawei Song, Marc Eisenstadt, Cristi Barladeanu, Stefan Rüger

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
Pages204-209
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008 - Ostrava, Czech Republic
Duration: 4 Aug 20086 Aug 2008

Publication series

Name1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008

Conference

Conference1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008
Country/TerritoryCzech Republic
CityOstrava
Period4/08/086/08/08

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