User-Specific Semantic Integration of Heterogeneous Data: The SIRUP Approach
We give an overview of the SIRUP (Semantic Integration Reflecting User-specific semantic Perspectives) approach to semantic data integration that takes into account heterogeneity of data receivers. Our goal is to provide means that allow data from heterogeneous sources to be integrated in a way that...
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description | We give an overview of the SIRUP (Semantic Integration Reflecting User-specific semantic Perspectives) approach to semantic data integration that takes into account heterogeneity of data receivers. Our goal is to provide means that allow data from heterogeneous sources to be integrated in a way that it perfectly fits to a particular user’s information needs, emphasizing his individual way to perceive a domain of interest. To achieve this, we propose to use a semantic multidatasource language to declaratively manipulate so-called IConcepts; these are basic conceptual building blocks to which attribute data that refers to the same real-world concept is linked by data providers. We provide explicit, queryable semantics by connecting IConcepts to concepts of ontologies. Additionally, pre-integrating data on a conceptual level through IConcepts shields SIRUP end-users from low-level heterogeneity and technical details of underlying data sources. |
doi_str_mv | 10.1007/978-3-540-30145-5_3 |
format | Book Chapter |
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Our goal is to provide means that allow data from heterogeneous sources to be integrated in a way that it perfectly fits to a particular user’s information needs, emphasizing his individual way to perceive a domain of interest. To achieve this, we propose to use a semantic multidatasource language to declaratively manipulate so-called IConcepts; these are basic conceptual building blocks to which attribute data that refers to the same real-world concept is linked by data providers. We provide explicit, queryable semantics by connecting IConcepts to concepts of ontologies. Additionally, pre-integrating data on a conceptual level through IConcepts shields SIRUP end-users from low-level heterogeneity and technical details of underlying data sources.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Data Provider</subject><subject>Data Semantic</subject><subject>Exact sciences and technology</subject><subject>Global Schema</subject><subject>Learning and adaptive systems</subject><subject>Ontology Language</subject><subject>Semantic Integration</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540236092</isbn><isbn>3540236090</isbn><isbn>9783540301455</isbn><isbn>3540301453</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2004</creationdate><recordtype>book_chapter</recordtype><recordid>eNo9kEtPAjEUhesrEZFf4GY2Lqv39s50rDuCD0hINALrppQWRmFm0o4L_70FjKt7cr6Tu_gYu0G4Q4DyXpUPnHiRAyfAvOCFphM2SC2l7lAVp6yHEpET5ersnwmSoMQ566WV4KrM6ZJdxfgJAKJUosemi-gCn7XOVr6y2cztTN2lMKk7tw6mq5o6a3w2dp0LzdrVrvmO2ZPpzGM237hsNvlYvGfDtg2NsZtrduHNNrrB3-2zxcvzfDTm07fXyWg45ZaE6PgKciVXTuVkLUklpDUgJRrjlRGrhBQASkBlvUefF9YuAZaEKEqJTkjqs9vj39ZEa7Y-mNpWUbeh2pnwo1HuJZQi7fC4iwnVaxf0smm-okbQe606SdKkkyZ9cKiTVvoFH8dkCg</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Ziegler, Patrick</creator><creator>Dittrich, Klaus R.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>User-Specific Semantic Integration of Heterogeneous Data: The SIRUP Approach</title><author>Ziegler, Patrick ; Dittrich, Klaus R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c322t-d0496de943cc36926ca0661aaf9a2d96d90016019cff1f45ccb00b3112761e263</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Data Provider</topic><topic>Data Semantic</topic><topic>Exact sciences and technology</topic><topic>Global Schema</topic><topic>Learning and adaptive systems</topic><topic>Ontology Language</topic><topic>Semantic Integration</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ziegler, Patrick</creatorcontrib><creatorcontrib>Dittrich, Klaus R.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ziegler, Patrick</au><au>Dittrich, Klaus R.</au><au>Kashyap, Vipul</au><au>Spaccapietra, Stefano</au><au>Bouzeghoub, Mokrane</au><au>Goble, Carole</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>User-Specific Semantic Integration of Heterogeneous Data: The SIRUP Approach</atitle><btitle>Lecture notes in computer science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2004</date><risdate>2004</risdate><spage>44</spage><epage>64</epage><pages>44-64</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540236092</isbn><isbn>3540236090</isbn><eisbn>9783540301455</eisbn><eisbn>3540301453</eisbn><abstract>We give an overview of the SIRUP (Semantic Integration Reflecting User-specific semantic Perspectives) approach to semantic data integration that takes into account heterogeneity of data receivers. 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language | eng |
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source | Springer Books |
subjects | Applied sciences Artificial intelligence Computer science control theory systems Computer systems and distributed systems. User interface Data Provider Data Semantic Exact sciences and technology Global Schema Learning and adaptive systems Ontology Language Semantic Integration Software |
title | User-Specific Semantic Integration of Heterogeneous Data: The SIRUP Approach |
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