Activity Based Metadata for Semantic Desktop Search
With increasing storage capacities on current PCs, searching the World Wide Web has ironically become more efficient than searching one’s own personal computer. The recently introduced desktop search engines are a first step towards coping with this problem, but not yet a satisfying solution. The re...
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| creator | Chirita, Paul Alexandru Gavriloaie, Rita Ghita, Stefania Nejdl, Wolfgang Paiu, Raluca |
| description | With increasing storage capacities on current PCs, searching the World Wide Web has ironically become more efficient than searching one’s own personal computer. The recently introduced desktop search engines are a first step towards coping with this problem, but not yet a satisfying solution. The reason for that is that desktop search is actually quite different from its web counterpart. Documents on the desktop are not linked to each other in a way comparable to the web, which means that result ranking is poor or even inexistent, because algorithms like PageRank cannot be used for desktop search. On the other hand, desktop search could potentially profit from a lot of implicit and explicit semantic information available in emails, folder hierarchies, browser cache contexts and others. This paper investigates how to extract and store these activity based context information explicitly as RDF metadata and how to use them, as well as additional background information and ontologies, to enhance desktop search. |
| doi_str_mv | 10.1007/11431053_30 |
| format | Book Chapter |
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The recently introduced desktop search engines are a first step towards coping with this problem, but not yet a satisfying solution. The reason for that is that desktop search is actually quite different from its web counterpart. Documents on the desktop are not linked to each other in a way comparable to the web, which means that result ranking is poor or even inexistent, because algorithms like PageRank cannot be used for desktop search. On the other hand, desktop search could potentially profit from a lot of implicit and explicit semantic information available in emails, folder hierarchies, browser cache contexts and others. 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The recently introduced desktop search engines are a first step towards coping with this problem, but not yet a satisfying solution. The reason for that is that desktop search is actually quite different from its web counterpart. Documents on the desktop are not linked to each other in a way comparable to the web, which means that result ranking is poor or even inexistent, because algorithms like PageRank cannot be used for desktop search. On the other hand, desktop search could potentially profit from a lot of implicit and explicit semantic information available in emails, folder hierarchies, browser cache contexts and others. This paper investigates how to extract and store these activity based context information explicitly as RDF metadata and how to use them, as well as additional background information and ontologies, to enhance desktop search.</description><subject>Additional Metadata</subject><subject>Applied sciences</subject><subject>Association Rule</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. 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User interface</topic><topic>Exact sciences and technology</topic><topic>Metadata Generator</topic><topic>Metadata Repository</topic><topic>Semantic Search</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chirita, Paul Alexandru</creatorcontrib><creatorcontrib>Gavriloaie, Rita</creatorcontrib><creatorcontrib>Ghita, Stefania</creatorcontrib><creatorcontrib>Nejdl, Wolfgang</creatorcontrib><creatorcontrib>Paiu, Raluca</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chirita, Paul Alexandru</au><au>Gavriloaie, Rita</au><au>Ghita, Stefania</au><au>Nejdl, Wolfgang</au><au>Paiu, Raluca</au><au>Gómez-Pérez, Asunción</au><au>Euzenat, Jérôme</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Activity Based Metadata for Semantic Desktop Search</atitle><btitle>Lecture notes in computer science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2005</date><risdate>2005</risdate><spage>439</spage><epage>454</epage><pages>439-454</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540261247</isbn><isbn>3540261249</isbn><eisbn>9783540315476</eisbn><eisbn>3540315470</eisbn><abstract>With increasing storage capacities on current PCs, searching the World Wide Web has ironically become more efficient than searching one’s own personal computer. 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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2005, p.439-454 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_17153459 |
| source | Springer Books |
| subjects | Additional Metadata Applied sciences Association Rule Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology Metadata Generator Metadata Repository Semantic Search Software |
| title | Activity Based Metadata for Semantic Desktop Search |
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