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Browsing-oriented Semantic Faceted Search

Andreas Wagner, Günter Ladwig, Duc Thanh Tran

Veröffentlichung: 2010 Januar
Art der Veröffentlichung: Technical Report
BibTeX

Kurzfassung
Faceted search enables users to browse and discover relevant items from a large collection such as the Web of data. Existing faceted search solutions assume a precise information need, and thus optimise relevance, interestingness, and costs of fulfilling an information need. In this paper, we propose a complementary solution. Instead of assuming a search scenario (i.e., a user has a precise information need), our solution targets a browsing scenario (i.e., a user has a fuzzy need). We aim to support users in exploring an unknown collection of items, thereby allowing them to discover new or unfamiliar items of interest. Our approach comprises mechanisms for grouping facets and facet values and facet ranking. Via a task-based evaluation, we demonstrate that the proposed solution enables more effective browsing compared to the state-of-the-art, given fuzzy information needs.

Download: Media:SemanticFacetedSearch-TR-2011.pdf

Forschungsgruppe

Wissensmanagement

Forschungsgebiet

Information Retrieval, Semantische Suche

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 |ErsterAutorNachname=Wagner
 |ErsterAutorVorname=Andreas
+}}
+{{Publikation Author
+|Rank=2
+|Author=Günter Ladwig
+}}
+{{Publikation Author
+|Rank=3
+|Author=Duc Thanh Tran
 }}
 {{Misc
-|Title=Faceted Semantic Search
+|Title=Browsing-oriented Semantic Faceted Search
 |Year=2010
 |Month=Januar
@@ Zeile 10: / Zeile 18: @@
 }}
 {{Publikation Details
-|Abstract=The increasing amount of data on the Web bears potential for addressing complex
+|Abstract=Faceted search enables users to browse and discover relevant items from a large collection such as the Web of data. Existing faceted search solutions assume a precise information need, and thus optimise relevance, interestingness, and costs of fulfilling an information need. In this paper, we propose a complementary solution. Instead of assuming a search scenario (i.e., a user has a precise information need), our solution targets a browsing scenario (i.e., a user has a fuzzy need). We aim to support users in exploring an unknown collection of items, thereby allowing them
-information needs more eﬀectively.  Instead of keyword search and browsing along
+to discover new or unfamiliar items of interest. Our approach comprises mechanisms for grouping facets and facet values and facet ranking. Via a task-based evaluation, we demonstrate that the proposed solution enables more effective browsing compared to the state-of-the-art, given fuzzy information needs.
-links between results, users can specify their needs in terms of complex queries and
+|Download=SemanticFacetedSearch-TR-2011.pdf
-obtain precise answers right away.  However, browsing is also essential on the Web
-of data as users might not always know a speciﬁc query language and more im-
-portantly, might not know the data.  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, work on faceted search so far has been focused
-on search rather than browsing.  In this paper, we propose a facet ranking scheme
-that targets the browsing experience.  When there are too many facets given, user
-obtain a ranked list of facets, where the rank represents the facets’ browse-ability.
-Furthermore, facets might be associated with a large amount of values. Also target-
-ing browse-ability, we propose clustering mechanisms to decompose such facets into
-more ﬁne-grained sub-facets. By means of a task-based evaluation, we demonstrate
-that the proposed solution enables more eﬀective browsing, when compared to the
-state of the art that is rather focused on search-ability.
-|Download=FacetedSemanticSearchTR.pdf
 |Forschungsgruppe=Wissensmanagement
 }}