<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/user/nepomuk/02"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/nepomuk/02</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/251c85063e177043f93b544fcf40c20be/nepomuk"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/251c85063e177043f93b544fcf40c20be/nepomuk"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://dblp.uni-trier.de/db/conf/mkwi/mkwi2008.html#GrebnerOR08"/><swrc:date>Thu Jul 24 00:15:47 CEST 2008</swrc:date><swrc:booktitle>Multikonferenz Wirtschaftsinformatik</swrc:booktitle><swrc:crossref>conf/mkwi/2008</swrc:crossref><swrc:publisher><swrc:Organization swrc:name="GITO-Verlag, Berlin"/></swrc:publisher><swrc:title>KASIMIR - Work process embedded task management leveraging the Semantic Desktop.</swrc:title><swrc:year>2008</swrc:year><swrc:keywords>02 2008 SAP WP10 from:uvriss lang:en taskmanagement </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://ibis.in.tum.de/mkwi08/23_Semantic_Web_Technology_in_Business_Information_Systems/04_Grebner.pdf" swrc:key="ee"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-940019-34-9" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2008-02-12" swrc:key="date"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Olaf Grebner"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Ernie Ong"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Uwe V. Riss"/></rdf:_3></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Martin Bichler"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Thomas Hess"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Helmut Krcmar"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Ulrike Lechner"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Florian Matthes"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Arnold Picot"/></rdf:_6><rdf:_7><swrc:Person swrc:name="Benjamin Speitkamp"/></rdf:_7><rdf:_8><swrc:Person swrc:name="Petra Wolf"/></rdf:_8></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2a87a7c940a5236a9bba3e9e258660690/nepomuk"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2a87a7c940a5236a9bba3e9e258660690/nepomuk"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#TechnicalReport"/><owl:sameAs rdf:resource="http://nepomuk.semanticdesktop.org/xwiki/bin/download/Main1/Publications/Minack%202008.pdf"/><swrc:date>Thu Feb 14 13:50:10 CET 2008</swrc:date><swrc:institution><swrc:Organization swrc:name="NEPOMUK Consortium"/></swrc:institution><swrc:month>February</swrc:month><swrc:number>2008-1</swrc:number><swrc:title>The Sesame Lucene Sail: RDF Queries with Full-text Search</swrc:title><swrc:type>Technical Report</swrc:type><swrc:year>2008</swrc:year><swrc:keywords>02 2008 aduna dfki from:leobard imported l3s lang:en nepomuk wp2 </swrc:keywords><swrc:abstract>With the growth of the Semantic Web, the requirements on storing and querying RDF has become more sophisticated. When a larger amount of data has to be managed, queries in structured query languages, such as SPARQL, are not always powerful enough. Use of additional keywords for querying can further reduce the result set towards the actual relevant answers, however, SPARQL only provides complete string matching or filtering based on regular expressions, which is a very slow operation. In contrast, state of the art Information Retrieval (IR) techniques provide sophisticated features such as keyword search, lemmatisation, stemming and ranking. In this paper we present a combination of structured RDF queries and full-text search. It is implemented as an extension of an established RDF store (Sesame) with IR capabilities using the text search library Lucene, without requiring modifications to existing RDF query languages.
</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2008.02.14" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Minack+2008.pdf" swrc:key="pdf"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="sauermann" swrc:key="owner"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Enrico Minack"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Leo Sauermann"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Gunnar Grimnes"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Christiaan Fluit"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Jeen Broekstra"/></rdf:_5></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>
