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

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

doi:10.1109/icadiwt.2008.4664345

Cited by 2 publications

(1 citation statement)

References 10 publications

(7 reference statements)

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“…Since the effect of metadata in IR has not been sufficiently studied previously, our work provides insights into how to integrate metadata with mostly content based information retrieval systems. Our preliminary user evaluation reported in (Zhu et al 2008) shows that DYNIQX can help users to complete real world information search tasks more effectively and efficiently than individual search engines. In the future, we will carry out more formal user evaluation of DYNIQX and study the effect of different ranking algorithms in collection fusion in DYNIQX.…”

Section: Dyniqxmentioning

confidence: 99%

A Novel Metadata Based Meta-Search Engine

2008

Proceedings of the Third International Conference on Software and Data Technologies Special Session on Applications in Banking

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This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of The Robert Gordon University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.By choosing to view this document, you agree to all provisions of the copyright laws protecting it. A NOVEL METADATA BASED META-SEARCH ENGINEJianhan Zhu, Dawei Song, Marc Eisenstadt, Cristi Barladeanu Knowledge Media Institute, The Open University, United Kingdom {j.zhu, d.song, m.eisenstadt} @ open.ac.uk; cristi.barladeanu@gmail.com Keywords:Meta search engines, collection fusion, metadata.Abstract:We present a novel meta-search engine called DYNIQX for metadata based cross search in order to study the effect of metadata in collection fusion. 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. Furthermore, metadata from these search engines are used for generating dynamic query controls such as sliders and tick boxes etc for users to filter search results.

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Section: Dyniqxmentioning

confidence: 99%

A Novel Metadata Based Meta-Search Engine

2008

Proceedings of the Third International Conference on Software and Data Technologies Special Session on Applications in Banking

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Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach

Megler¹

2000

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In the past decade, the amount of scientific data collected and generated by scientists has grown dramatically. This growth has intensified an existing problem: in large archives consisting of datasets stored in many files, formats and locations, how can scientists find data relevant to their research interests? We approach this problem in a new way: by adapting Information Retrieval techniques, developed for searching text documents, into the world of (primarily numeric) scientific data. We propose an approach that uses a blend of automated and curated methods to extract metadata from large repositories of scientific data. We then perform searches over this metadata, returning results ranked by similarity to the search criteria. We present a model of this approach, and describe a specific implementation thereof performed at an ocean-observatory data archive and now running in production. Our prototype implements scanners that extract metadata from datasets that contain different kinds of environmental observations, and a search engine with a candidate similarity measure for comparing a set of search terms to the extracted metadata. We evaluate the utility of the prototype by performing two user studies; these studies show that the approach resonates with users, and that our proposed similarity measure performs well when analyzed using standard Information Retrieval evaluation methods. We performed performance tests to explore how continued archive growth will affect our goal of interactive response, developed and applied techniques that mitigate the effects of that growth, and show that the techniques are effective. Lastly, we describe some of the research needed to extend this initial work into a true "Google for data".

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

Abstract: Abstract

Cited by 2 publications

References 10 publications

A Novel Metadata Based Meta-Search Engine

A Novel Metadata Based Meta-Search Engine

Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach

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