A plugin architecture enabling federated search for digital libraries

Authors:
Sergey Chernov;Christian Kohlschütter;Wolfgang Nejdl
Affiliations:
L3S Research Center, University of Hannover, Hannover, Germany;L3S Research Center, University of Hannover, Hannover, Germany;L3S Research Center, University of Hannover, Hannover, Germany
Venue:
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Year:
2006

Citing 8
Cited 1

STARTS: Stanford proposal for Internet meta-searching

SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A vector space model for automatic indexing

Communications of the ACM
SDLIP + STARTS = SDARTS a protocol and toolkit for metasearching

Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Building efficient and effective metasearch engines

ACM Computing Surveys (CSUR)
Information Retrieval: Application Service Definition and Protocol Specification, Z39.50-1995

Information Retrieval: Application Service Definition and Protocol Specification, Z39.50-1995
A language modeling framework for resource selection and results merging

Proceedings of the eleventh international conference on Information and knowledge management
Daffodil: An Integrated Desktop for Supporting High-Level Search Activities in Federated Digital Libraries

ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
DL meets p2p – distributed document retrieval based on classification and content

ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries

Summa: This Is Not a Demo

ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries

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Abstract

Today, users expect a variety of digital libraries to be searchable from a single Web page. The German Vascoda project provides this service for dozens of information sources. Its ultimate goal is to provide search quality close to the ranking of a central database containing documents from all participating libraries. Currently, however, the Vascoda portal is based on a non-cooperative metasearch approach, where results from sources are merged randomly and ranking quality is sub-optimal. In this paper, we describe a Lucene-based plugin which replaces this method by a truly federated search across different search engines, where the exchange of document statistics improves document ranking. Preliminary evaluation results show ranking results equal to a centralized setup.