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Searching distributed collections with inference networks

Searching distributed collections with inference networks,10.1145/215206.215328,James P. Callan,Zhihong Lu,W. Bruce Croft

Searching distributed collections with inference networks   (Citations: 481)
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The use of information retrieval systems in networked environments raises a new set of issues that have received little attention. These issues include ranking document collections for relevance to a query, selecting the best set of collections from a ranked list, and merging the document rankings that are returned from a set of collections. This paper describes methods of addressing each issue in the inference network model, dkcusses their implementation in the INQUERY system, and presents experimental results demonstrating their effectiveness.
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    • ...information retrieval (Callan et al. 1995)...

    Yi FangLuoet al. Discriminative probabilistic models for expert search in heterogeneous...

    • ...[26, 9, 13, 27, 21]) existing approaches are focused on assessing the relevance of a source based on local measures of similarity between the query and the answers expected from the source...
    • ...Considering research in the text databases selection, Callan et al. [13] formulated a method called CORI for query specific selection based on relevance...
    • ...CORI: To collect source statistics for CORI [13], we used terms with highest document frequency from the sample crawl data describe in Section 4.2 as crawling queries...
    • ...We used the same parameters as found to be optimal by Callan et al. [13]...

    Raju Balakrishnanet al. SourceRank: relevance and trust assessment for deep web sources based ...

    • ...[8, 3]). Existing approaches are focused on assessing the relevance of a source based on local measures; as they evaluate the quality of the source based on the similarity between the answers provided by the source and the query...
    • ...here. Callan et al. [3] formulated the CORI method for query specific selection of text databases based purely on query relevance...

    Raju Balakrishnanet al. Factal: integrating deep web based on trust and relevance

    • ...This can also be viewed as a form of source selection in distributed information retrieval [4]...
    • ...The prediction of the correct source is largely studied in distributed IR [4]...

    Arlind Koplikuet al. Interest and Evaluation of Aggregated Search

    • ...Typical merging strategies involve the normalisation of local collection relevance scores from the retrieved documents (Callan et al. 1995; Si and Callan 2003)...
    • ...Therefore big-document approaches essentially differ by how the resource descriptions are ranked, for example, using a bayesian inference network (CORI) (Callan et al. 1995), the vector space model (vGlOSS) (Gravano et al. 1999), or language models (Xu and Croft 1999; Si et al. 2002)...

    Mark Baillieet al. A multi-collection latent topic model for federated search

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