Qualitative Spatial Representation for Information Retrieval by Gazetteers
Intelligent and efficient information retrieval becomes increasingly important. Analogous to thesauri in the realm of spatial concepts, gazetteers offer a controlled vocabulary that can be used for spatial queries. Gazetteers use geographic footprints to link place names to geographic locations. Whi...
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description | Intelligent and efficient information retrieval becomes increasingly important. Analogous to thesauri in the realm of spatial concepts, gazetteers offer a controlled vocabulary that can be used for spatial queries. Gazetteers use geographic footprints to link place names to geographic locations. Which geographic footprint representation is chosen has a strong impact on the quality of spatial queries. However, the footprint representations currently used in standard gazetteers such as points, lines, grid cell representations, and bounding boxes do not offer enough topological information to support refined spatial queries. We propose a new type of spatial footprint that can be described as a qualitative representation of the spatial decomposition of geographic entities. It holds enough topological and ordinal information enable refined spatial queries without being subject to the constraints of exact polygon representations. The proposed spatial representation was developed to be combined with terminological reasoning techniques used in systems for intelligent information integration. |
doi_str_mv | 10.1007/3-540-45424-1_23 |
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The proposed spatial representation was developed to be combined with terminological reasoning techniques used in systems for intelligent information integration.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540426132</identifier><identifier>ISBN: 9783540426134</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540454243</identifier><identifier>EISBN: 3540454241</identifier><identifier>DOI: 10.1007/3-540-45424-1_23</identifier><identifier>OCLC: 958524157</identifier><identifier>LCCallNum: Q334-342</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Exact sciences and technology ; Gazetteers ; Information Retrieval and Inference ; Information systems. Data bases ; Memory organisation. 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Analogous to thesauri in the realm of spatial concepts, gazetteers offer a controlled vocabulary that can be used for spatial queries. Gazetteers use geographic footprints to link place names to geographic locations. Which geographic footprint representation is chosen has a strong impact on the quality of spatial queries. However, the footprint representations currently used in standard gazetteers such as points, lines, grid cell representations, and bounding boxes do not offer enough topological information to support refined spatial queries. We propose a new type of spatial footprint that can be described as a qualitative representation of the spatial decomposition of geographic entities. It holds enough topological and ordinal information enable refined spatial queries without being subject to the constraints of exact polygon representations. The proposed spatial representation was developed to be combined with terminological reasoning techniques used in systems for intelligent information integration.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Gazetteers</subject><subject>Information Retrieval and Inference</subject><subject>Information systems. Data bases</subject><subject>Memory organisation. Data processing</subject><subject>Semantic Interoperability</subject><subject>Software</subject><subject>Spatial Reasoning</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540426132</isbn><isbn>9783540426134</isbn><isbn>9783540454243</isbn><isbn>3540454241</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2001</creationdate><recordtype>book_chapter</recordtype><recordid>eNotkE1PwzAMhsOnGGN3jr1wLMRx0qRHhGCAJiEGnKMkS6FQ2pJ0k8avJ9uwZFt-_SH5IeQc6CVQKq8wF5zmXHDGc9AM98iklAqTuNVwn4ygAMgReXlATrcNVgCyQzKiSFleSo7HZFQKJRgHIU_IJMZPmgxZIRUbkcfnpWnqwQz1ymcvfcqmyea-Dz76diN3bVZ1IXtoU_ze1XM_hNqv0qBdZ1Pz64fB-xDPyFFlmugn_3lM3u5uX2_u89nT9OHmepb3oBBzZaldOKYqcAuLtrCVYhUYsWBGCMdLAUxWloJ0xjMqBbeFA-_AYHJqCxyTi93d3kRnmiqY1tVR96H-NmGtIUGQmGxMLndzMbXadx-07bqvqIHqDV2NOvHSW5J6Qzct4P_h0P0sfRy032y4BCKYxn2YfkhvaqQSAZRmSifu-AdxKXhA</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>Schlieder, C.</creator><creator>Vögele, T.</creator><creator>Visser, U.</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2001</creationdate><title>Qualitative Spatial Representation for Information Retrieval by Gazetteers</title><author>Schlieder, C. ; Vögele, T. ; Visser, U.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p1833-8b0bdc28f1cdb3b6bf82f1a5d2a55c495127fb017cae20754b6c1ec1a3c1a0b63</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Gazetteers</topic><topic>Information Retrieval and Inference</topic><topic>Information systems. 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Data processing</topic><topic>Semantic Interoperability</topic><topic>Software</topic><topic>Spatial Reasoning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schlieder, C.</creatorcontrib><creatorcontrib>Vögele, T.</creatorcontrib><creatorcontrib>Visser, U.</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schlieder, C.</au><au>Vögele, T.</au><au>Visser, U.</au><au>Montello, Daniel R</au><au>Montello, Daniel R.</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Qualitative Spatial Representation for Information Retrieval by Gazetteers</atitle><btitle>Lecture notes in computer science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2001</date><risdate>2001</risdate><volume>2205</volume><spage>336</spage><epage>351</epage><pages>336-351</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540426132</isbn><isbn>9783540426134</isbn><eisbn>9783540454243</eisbn><eisbn>3540454241</eisbn><abstract>Intelligent and efficient information retrieval becomes increasingly important. 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subjects | Applied sciences Computer science control theory systems Exact sciences and technology Gazetteers Information Retrieval and Inference Information systems. Data bases Memory organisation. Data processing Semantic Interoperability Software Spatial Reasoning |
title | Qualitative Spatial Representation for Information Retrieval by Gazetteers |
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