Explaining Results from Information Retrieval and Integration

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Bibtype inproceedings

Has publishing details November,2005.

Has title Explaining Results from Information Retrieval and Integration

Has where published International Symposium on Explanation-aware Computing, AAAI Symposium

Has year 2005.

Title Explaining Results from Information Retrieval and Integration

Year 2005.

Abstract Information retrieval and integration syst … Information retrieval and integration systems typically must handle incomplete and inconsistent data. Current approaches attempt to reconcile discrepant information by leveraging data quality, user preferences, or source provenance information. Such approaches may overlook the fact that information is interpreted relative to its context. Therefore, discrepancies may be explained and thereby resolved if contexts are taking into account. In this paper, we describe an information integrator that is capable of explaining its results. We focus on using knowledge of an assumption context learned through decision tree-based classification to inform the explanations. We further discuss some benefits and difficulties of applying assumption context in information retrieval. Finally, we indicate how to use Inference Web to explain discrepancies resulting from information retrieval and integration applications. on retrieval and integration applications.

Note Extended Abstract.

Address Washington, D.C. +

Author Honglei Zeng and Deborah L. McGuinness and Paulo Pinheiro da Silva and Richard Fikes +

Booktitle International Symposium on Explanation-aware Computing, AAAI Symposium +

Has author Honglei Zeng and Deborah L. McGuinness and Paulo Pinheiro da Silva and Richard Fikes +

Has identifier Explaining Results from Information Retrieval and Integration +

Ksl tr id Explaining Results from Information Retrieval and Integration +

Month November +

Process note NO +

Categories InProceedings +, KSL Technical Report +, Publication +