Robust Query Processing for Personalized Information Access on the Semantic Web

Peter Dolog, Heiner Stuckenschmidt, Holger Wache

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

11 Citationer (Scopus)

Resumé

Research in Cooperative Query answering is triggered by the observation that users are often not able to correctly formulate queries to databases that return the intended result. Due to a lack of knowledge of the contents and the structure of a database, users will often only be able to provide very broad queries. Existing methods for automatically refining such queries based on user profiles often overshoot the target resulting in queries that do not return any answer. In this paper, we investigate methods for automatically relaxing such over-constraint queries based on domain knowledge and user preferences. We describe a framework for information access that combines query refinement and relaxation in order to provide robust, personalized access to heterogeneous RDF data as well as an implementation in terms of rewriting rules and explain its application in the context of e-learning systems

OriginalsprogEngelsk
Publikationsdato2006
Antal sider10
StatusUdgivet - 2006
BegivenhedFQAS'2006: 7th International Conference on Flexible Query Answering Systems - Milan, Italien
Varighed: 5 jun. 20068 jun. 2006

Konference

KonferenceFQAS'2006: 7th International Conference on Flexible Query Answering Systems
LandItalien
ByMilan
Periode05/06/200608/06/2006

Fingerprint

Query processing
Semantic Web
Refining
Learning systems

Citer dette

Dolog, P., Stuckenschmidt, H., & Wache, H. (2006). Robust Query Processing for Personalized Information Access on the Semantic Web. Afhandling præsenteret på FQAS'2006: 7th International Conference on Flexible Query Answering Systems, Milan, Italien.
Dolog, Peter ; Stuckenschmidt, Heiner ; Wache, Holger. / Robust Query Processing for Personalized Information Access on the Semantic Web. Afhandling præsenteret på FQAS'2006: 7th International Conference on Flexible Query Answering Systems, Milan, Italien.10 s.
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abstract = "Research in Cooperative Query answering is triggered by the observation that users are often not able to correctly formulate queries to databases that return the intended result. Due to a lack of knowledge of the contents and the structure of a database, users will often only be able to provide very broad queries. Existing methods for automatically refining such queries based on user profiles often overshoot the target resulting in queries that do not return any answer. In this paper, we investigate methods for automatically relaxing such over-constraint queries based on domain knowledge and user preferences. We describe a framework for information access that combines query refinement and relaxation in order to provide robust, personalized access to heterogeneous RDF data as well as an implementation in terms of rewriting rules and explain its application in the context of e-learning systems",
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Dolog, P, Stuckenschmidt, H & Wache, H 2006, 'Robust Query Processing for Personalized Information Access on the Semantic Web' Paper fremlagt ved FQAS'2006: 7th International Conference on Flexible Query Answering Systems, Milan, Italien, 05/06/2006 - 08/06/2006, .

Robust Query Processing for Personalized Information Access on the Semantic Web. / Dolog, Peter; Stuckenschmidt, Heiner; Wache, Holger.

2006. Afhandling præsenteret på FQAS'2006: 7th International Conference on Flexible Query Answering Systems, Milan, Italien.

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

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AU - Dolog, Peter

AU - Stuckenschmidt, Heiner

AU - Wache, Holger

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N2 - Research in Cooperative Query answering is triggered by the observation that users are often not able to correctly formulate queries to databases that return the intended result. Due to a lack of knowledge of the contents and the structure of a database, users will often only be able to provide very broad queries. Existing methods for automatically refining such queries based on user profiles often overshoot the target resulting in queries that do not return any answer. In this paper, we investigate methods for automatically relaxing such over-constraint queries based on domain knowledge and user preferences. We describe a framework for information access that combines query refinement and relaxation in order to provide robust, personalized access to heterogeneous RDF data as well as an implementation in terms of rewriting rules and explain its application in the context of e-learning systems

AB - Research in Cooperative Query answering is triggered by the observation that users are often not able to correctly formulate queries to databases that return the intended result. Due to a lack of knowledge of the contents and the structure of a database, users will often only be able to provide very broad queries. Existing methods for automatically refining such queries based on user profiles often overshoot the target resulting in queries that do not return any answer. In this paper, we investigate methods for automatically relaxing such over-constraint queries based on domain knowledge and user preferences. We describe a framework for information access that combines query refinement and relaxation in order to provide robust, personalized access to heterogeneous RDF data as well as an implementation in terms of rewriting rules and explain its application in the context of e-learning systems

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Dolog P, Stuckenschmidt H, Wache H. Robust Query Processing for Personalized Information Access on the Semantic Web. 2006. Afhandling præsenteret på FQAS'2006: 7th International Conference on Flexible Query Answering Systems, Milan, Italien.