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Second Call for Papers SEMSEARCH10
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Fellow Researcher,
We are glad to announce the 3rd edition of the International Semantic
Search workshop to be held at World Wide Web (WWW 2010) in Raleigh,
USA.
In the past years, Semantic Search has attracted much interests, both
from industry and academia. After the success of the first the two
workshops held at ESWC 2008 and at WWW 2009, we are delighted to have
the opportunity to bring together the Information Retrieval and
Semantic Web communities once again to discuss both theoretical and
practical issues in implementing semantic search systems.
As with the previous events, the main directions of semantic search
under investigation are Semantic-driven Document Retrieval, Semantic
Data Retrieval, Interaction Paradigms for Semantic Search and Semantic
Search Evaluation.
Since we believe that the lack of benchmarks is one of the major
stumbling blocks to advances in the field of semantic applications and
semantic search in particular, this workshop will also offer an
evaluation challenge, focusing on answering entity queries over
structured data in RDF.
The Call for Papers and more details on the Evaluation of Entity
Search is found below.
For news and discussions related to SemSearch and evaluation at
SemSearch, please register at
http://tech.groups.yahoo.com/group/semsearcheval/.
We are looking forward to see you at SemSearch10 in Raleigh, NC!
Cheers,
Marko Grobelnik, Jožef Stefan Institute, Ljubljana, Slovenia
Peter Mika, Yahoo! Research, Barcelona, Spain
Thanh Tran Duc, Institute AIFB, University of Karlsruhe (TH), Germany
Haofen Wang, Apex Lab, Shanghai Jiao Tong University, China.
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Call for Papers SEMSEARCH10
Third International Semantic Search Workshop SemSearch10
April 26, 2010, Raleigh, NC, USA
Homepage: http://km.aifb.uni-karlsruhe.de/ws/semsearch10
Submission deadline for full papers: March 6th, 2010 (12.00 AM, GMT)
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In recent years we have witnessed substantial exploitation of search
technologies, both at web and enterprise scale. However, the
representation of user queries and information in existing search
appliances is still almost exclusively achieved by simple syntax-based
descriptions (i.e. keyword queries matched against bag-of-words
document representation). While these systems have shown to work well
for many common search needs, they work on the basis of rough
approximations and usually fail to address more complex tasks such as
aggregation and information analytics.
On the other hand, recent advances in the field of semantic
technologies have resulted in tools and standards that allow for the
articulation of domain knowledge at a high level of expressivity.
Semantic repositories and reasoning engines have now advanced to a
state where querying and processing of this knowledge can scale to
large-scale scenarios. As such, semantic technologies are posed to
provide significant contributions to IR problems. More expressive
descriptions of resources are achieved through the representation of
the resource content in terms of concepts and structured data (OWL,
RDF). The recent media interest around Wolfram Alpha, PowerSet
(acquired by Microsoft Bing) and Yahoo SearchMonkey show the
expectations regarding the impact of semantic search.
The other way around, we have also seen the successful adoption of
ideas from IR to the problem of search in semantic (Web) data, which
is due to the increasing size of the Semantic Web. Popular examples
include the Linking Open Data project, the large body of data in forms
of Microformats and RDFa data associated with text. Common to these
scenarios is that the search is focused not on a document collection,
but on semantic data (which may be possibly linked to or embedded in
textual information). Search and ranking large amount of semantic data
on the Web is another key topic addressed by this workshop.
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Challenges
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In this context, challenges for Semantic Search research will include,
among others:
- How can semantic technologies be applied to the IR problems?
- How to address scalability and effectiveness of data Web search (by
applying IR technologies)?
- How to allow web user to exploit the expressiveness of the semantic
data on the Web? I.e. how to lower the technical barriers for users to
ask complex questions and to interact with web data to obtain concrete
answers for complex needs?
- And most importantly, how can this new generation of search systems
that successfully exploit semantics for IR or for data Web search can
be evaluated and compared (with standard IR systems or semantic
repositories)?
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Topics of Interest
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Semantic Search is defined through two main directions. First
