Explaining Results from Information Retrieval and Integration
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Citation: Honglei Zeng and Deborah L. McGuinness and Paulo Pinheiro da Silva and Richard Fikes. (2005.) Explaining Results from Information Retrieval and Integration. In International Symposium on Explanation-aware Computing, AAAI Symposium, November,2005..
| Publication inproceedings ( Edit ) | |
| type | InProceedings |
| bibtype | inproceedings |
| Bibtex basics | |
| author | Honglei Zeng and Deborah L. McGuinness and Paulo Pinheiro da Silva and Richard Fikes |
| title | Explaining Results from Information Retrieval and Integration |
| booktitle | International Symposium on Explanation-aware Computing, AAAI Symposium |
| address | Washington, D.C. |
| year | 2005. |
| month | November |
| Bibtex more | |
| note | Extended Abstract. |
| Access Paper | |
| abstract | 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. |
| KSL Technical Report ID: KSL-05-08 |
Facts about Explaining Results from Information Retrieval and IntegrationRDF feed
| 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. |
| Address | Washington, D.C. + |
| Author | Honglei Zeng and Deborah L. McGuinness and Paulo Pinheiro da Silva and Richard Fikes + |
| Bibtype | inproceedings + |
| 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 | KSL-05-08 + |
| 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. + |
| Ksl tr id | KSL-05-08 + |
| Month | November + |
| Note | Extended Abstract. |
| Process note | NO + |
| Title | Explaining Results from Information Retrieval and Integration + |
| Year | 2005. + |
