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{{Abschlussarbeit
 
{{Abschlussarbeit
|Abschlussarbeitstyp=Bachelor, Master, Diplom, Studienarbeit
+
|Abschlussarbeitstyp=Studienarbeit
 
|Titel=Index-Structures for Semantic Faceted Search
 
|Titel=Index-Structures for Semantic Faceted Search
|Abschlussarbeitsstatus=In Bearbeitung
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|Abschlussarbeitsstatus=Abgeschlossen
 
|Vorname=Tobies
 
|Vorname=Tobies
 
|Nachname=Käfer
 
|Nachname=Käfer
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However, in a semantic web context our facet (and facet value) definition is more fine grained, when compared to a traditional Information Retrieval scenario. This leads to a massive amount of facets (and values), resulting in existing Infrastructure solutions for a faceted search engine being not suitable any longer.
 
However, in a semantic web context our facet (and facet value) definition is more fine grained, when compared to a traditional Information Retrieval scenario. This leads to a massive amount of facets (and values), resulting in existing Infrastructure solutions for a faceted search engine being not suitable any longer.
 
|Betreuer=Andreas Wagner
 
|Betreuer=Andreas Wagner
 +
|Beginn=2011/03/15
 +
|Abgabe=2011/06/15
 
|Ausschreibung=IndexStructuresforSemanticFacetedSearch.pdf,
 
|Ausschreibung=IndexStructuresforSemanticFacetedSearch.pdf,
 
|Forschungsgruppe=Wissensmanagement
 
|Forschungsgruppe=Wissensmanagement
 
}}
 
}}

Version vom 9. Juli 2011, 18:47 Uhr



Index-Structures for Semantic Faceted Search


Tobies Käfer



Informationen zur Arbeit

Abschlussarbeitstyp: Studienarbeit
Betreuer: Andreas Wagner
Forschungsgruppe: Wissensmanagement

Archivierungsnummer: 3147
Abschlussarbeitsstatus: Abgeschlossen
Beginn: 15. März 2011
Abgabe: 15. Juni 2011

Weitere Informationen

The increasing amount of data on the Web bears potential for addressing complex information needs more effectively. Instead of keyword search and browsing along links between results, users can specify their needs in terms of complex queries and obtain precise answers right away. Particularly in cases where the information need is fuzzy, browsing is useful for exploring the data. Faceted search allows users to browse along facets. However, in a semantic web context our facet (and facet value) definition is more fine grained, when compared to a traditional Information Retrieval scenario. This leads to a massive amount of facets (and values), resulting in existing Infrastructure solutions for a faceted search engine being not suitable any longer.


Ausschreibung: Download (pdf)