Location-based context retrieval and filtering

Pils, C; Roussaki, I; Strimpakou, M

dc.contributor.author	Pils, C	en
dc.contributor.author	Roussaki, I	en
dc.contributor.author	Strimpakou, M	en
dc.date.accessioned	2014-03-01T02:44:05Z
dc.date.available	2014-03-01T02:44:05Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31666
dc.subject	Data Semantics	en
dc.subject	Human Machine Interaction	en
dc.subject	Information Retrieval	en
dc.subject	Natural Language	en
dc.subject	Pattern Matching	en
dc.subject	Bose Einstein	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Data reduction	en
dc.subject.other	Digital filters	en
dc.subject.other	Human computer interaction	en
dc.subject.other	Information retrieval	en
dc.subject.other	Interactive computer systems	en
dc.subject.other	Natural language processing systems	en
dc.subject.other	Pattern matching	en
dc.subject.other	Semantics	en
dc.subject.other	Context data	en
dc.subject.other	Context retrieval and filtering	en
dc.subject.other	Data semantics	en
dc.subject.other	Ontology	en
dc.subject.other	Content based retrieval	en
dc.title	Location-based context retrieval and filtering	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11752967_17	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11752967_17	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	Context-based applications are supposed to decrease humanmachine interactions. To this end, they must interpret the meaning of context data. Ontologies are a commonly accepted approach of specifying data semantics and are thus considered a precondition for the implementation of context-based systems. Yet, experiences gained from the European project Daidalos evoke concerns that this approach has its flaws when the application domain can hardly be delimited. These concerns are raised by the human limitation in dealing with complex specifications. This paper proposes a relaxation of the situation: Humans strength is the understating of natural languages, computers, however, possess superior pattern matching power. Therefore, it is suggested to enrich or even replace semantic specifications of context data items by free-text descriptions. For instance, rather than using an Ontology specification to describe an Italian restaurant the restaurant can simply be described by its menu card. To facilitate this methodology, context documents are introduced and a novel information retrieval approach is elucidated, evaluated, and analysed with the help of Bose-Einstein statistics. It is demonstrated that the new approach clearly outperforms conventional information retrieval engines and is an excellent addition to context Ontologies. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	Lecture Notes in Computer Science	en
dc.identifier.doi	10.1007/11752967_17	en
dc.identifier.isi	ISI:000237667100017	en
dc.identifier.volume	3987 LNCS	en
dc.identifier.spage	256	en
dc.identifier.epage	273	en