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Semantic Rules for Context-Aware Geographical Information Retrieval

Identifieur interne : 001370 ( Istex/Corpus ); précédent : 001369; suivant : 001371

Semantic Rules for Context-Aware Geographical Information Retrieval

Auteurs : Carsten Ke Ler ; Martin Raubal ; Christoph Wosniok

Source :

RBID : ISTEX:9DA82BED5E4CD74E7EBFE90B5524785574516EB0

Abstract

Abstract: Geographical information retrieval (GIR) can benefit from context information to adapt the results to a user’s current situation and personal preferences. In this respect, semantics-based GIR is especially challenging because context information – such as collected from sensors – is often provided through numeric values, which need to be mapped to ontological representations based on nominal symbols. The Web Ontology Language (OWL) lacks mathematical processing capabilities that require free variables, so that even basic comparisons and distance calculations are not possible. Therefore, the context information cannot be interpreted with respect to the task and the current user’s preferences. In this paper, we introduce an approach based on semantic rules that adds these processing capabilities to OWL ontologies. The task of recommending personalized surf spots based on user location and preferences serves as a case study to evaluate the capabilities of semantic rules for context-aware geographical information retrieval. We demonstrate how the Semantic Web Rule Language (SWRL) can be utilized to model user preferences and how execution of the rules successfully retrieves surf spots that match these preferences. While SWRL itself enables free variables, mathematical functions are added via built-ins – external libraries that are dynamically loaded during rule execution. Utilizing the same mechanism, we demonstrate how SWRL built-ins can query the Semantic Sensor Web to enable the consideration of real-time measurements and thus make geographical information retrieval truly context-aware.

Url:
DOI: 10.1007/978-3-642-04471-7_7

Links to Exploration step

ISTEX:9DA82BED5E4CD74E7EBFE90B5524785574516EB0

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<abstract lang="en">Abstract: Geographical information retrieval (GIR) can benefit from context information to adapt the results to a user’s current situation and personal preferences. In this respect, semantics-based GIR is especially challenging because context information – such as collected from sensors – is often provided through numeric values, which need to be mapped to ontological representations based on nominal symbols. The Web Ontology Language (OWL) lacks mathematical processing capabilities that require free variables, so that even basic comparisons and distance calculations are not possible. Therefore, the context information cannot be interpreted with respect to the task and the current user’s preferences. In this paper, we introduce an approach based on semantic rules that adds these processing capabilities to OWL ontologies. The task of recommending personalized surf spots based on user location and preferences serves as a case study to evaluate the capabilities of semantic rules for context-aware geographical information retrieval. We demonstrate how the Semantic Web Rule Language (SWRL) can be utilized to model user preferences and how execution of the rules successfully retrieves surf spots that match these preferences. While SWRL itself enables free variables, mathematical functions are added via built-ins – external libraries that are dynamically loaded during rule execution. Utilizing the same mechanism, we demonstrate how SWRL built-ins can query the Semantic Sensor Web to enable the consideration of real-time measurements and thus make geographical information retrieval truly context-aware.</abstract>
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<namePart type="given">David</namePart>
<namePart type="family">Hutchison</namePart>
<affiliation>Lancaster University, Lancaster, UK</affiliation>
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<namePart type="given">Takeo</namePart>
<namePart type="family">Kanade</namePart>
<affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation>
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<namePart type="given">Josef</namePart>
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<name type="personal">
<namePart type="given">Jon</namePart>
<namePart type="given">M.</namePart>
<namePart type="family">Kleinberg</namePart>
<affiliation>Cornell University, Ithaca, NY, USA</affiliation>
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<namePart type="given">Friedemann</namePart>
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<namePart type="given">John</namePart>
<namePart type="given">C.</namePart>
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<affiliation>Stanford University, Stanford, CA, USA</affiliation>
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<namePart type="given">Moni</namePart>
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<namePart type="given">Oscar</namePart>
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<affiliation>University of Bern, Bern, Switzerland</affiliation>
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</name>
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<namePart type="given">C.</namePart>
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</name>
<name type="personal">
<namePart type="given">Bernhard</namePart>
<namePart type="family">Steffen</namePart>
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<namePart type="given">Madhu</namePart>
<namePart type="family">Sudan</namePart>
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<name type="personal">
<namePart type="given">Demetri</namePart>
<namePart type="family">Terzopoulos</namePart>
<affiliation>University of California, Los Angeles, CA, USA</affiliation>
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<namePart type="given">Doug</namePart>
<namePart type="family">Tygar</namePart>
<affiliation>University of California, Berkeley, CA, USA</affiliation>
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<name type="personal">
<namePart type="given">Moshe</namePart>
<namePart type="given">Y.</namePart>
<namePart type="family">Vardi</namePart>
<affiliation>Rice University, Houston, TX, USA</affiliation>
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<roleTerm type="text">editor</roleTerm>
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<name type="personal">
<namePart type="given">Gerhard</namePart>
<namePart type="family">Weikum</namePart>
<affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation>
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<copyrightDate encoding="w3cdtf">2009</copyrightDate>
<issuance>serial</issuance>
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<identifier type="ISSN">0302-9743</identifier>
<identifier type="eISSN">1611-3349</identifier>
<identifier type="SeriesID">558</identifier>
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<recordOrigin>Springer Berlin Heidelberg, 2009</recordOrigin>
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<identifier type="DOI">10.1007/978-3-642-04471-7_7</identifier>
<identifier type="ChapterID">7</identifier>
<identifier type="ChapterID">Chap7</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Springer Berlin Heidelberg, 2009</accessCondition>
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