ESTC 2008 - Impressions

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Supported by:

Austrian Computer Society
ARK Group
BMWA
BMVIT
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Sponsored by:

service-finder
theseus
W3C
STI Innsbruck
iSOCO
Ontotext
matrixware
ontos
metatomix
NEON-Project
DERI Galway
Active Project
Seekda
Semantic Exchange
alt
alt
alt
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Franz Inc
Talis
Service Web 3.0
Innoraise
soa4all

larck

AWS

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Mining the Long-tails with Semantic Technologies

Francois Scharffe, Discotheka (FR) and STI Innsbruck (AT)

Abstract

Niche markets are since Anderson's article identified as an important  source of revenues for on-line businesses. The question remaining open  is: how to get benefit from these multiple small markets? We analyse  in this article how Semantic technologies can help to exploit these  targeted markets.

We observe that the use of domain ontologies lead to  the construction of search engines allowing to find information more  precisely. We also show how the Web of Data, by interlinking together  basic pieces of information into a giant graph, allows the  construction of recommendation engines leading the customers to the  often inaccessible niches. We then go into practice and examine the  case of Discotheka, a search engine proposing a multitude of services  on the targeted market of classical music. We look into details into  the Discotheka Knowledge Base, constituting the core interlinked piece  of knowledge, and propose a model to easily reproduce and apply this  approach to other niche markets.

Francois Scharffe, Discotheka (FR) and STI Innsbruck (AT)

 

 

 
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