vil anta det kan være muligheter å delta på dette for interesserte.
mvh,
Amund.uk
---------- Forwarded message ----------
From: Darijus Strasunskas <
Darijus.Strasunskas@idi.ntnu.no>
Date: Apr 20, 2006 1:50 AM
Subject: [Alle-idi] Seminar: Semantics & Search, April 28th at 09.15 in F1
To: alle-idi@idi.ntnu.no
Dear all!
We
would like to invite all of you interested in Semantic Web, Ontologies,
Information Retrieval, etc to the seminar on Semantics & Search.
It
is a splendid opportunity to meet world-class leading researchers and
practicians in the area. Namely, Deborah L. McGuinness, Karen
Sparck-Jones, Per Gunnar Auran, Aleksander Øhrn are going to present.
For more detail agenda see below or an attached file.
------------Semantics & Search-------------
---------------April 28th, 2006----------------
------------------Location: F1------------------
09.15- Opening of seminar
Jon Atle Gulla, NTNU
09.20- The Semantic Web and ontologies: what assumptions, what justifications?
Karen Sparck-Jones, Cambridge
Abstract.
A great deal is written about the Semantic Web as if it already
materially exists. There is also a widespread presumption that the
Semantic Web requires an ontology, or some relatable set of ontologies,
of a thoroughly logical kind. In my talk I will examine this
presumption in relation to the manipulation of, and especially access
to, information expressed in natural language. The realities of natural
language information processing tasks show that aggressively formal
ontologies are effective only for limited domains and communities, and
that useful broad-cover, general-purpose ontologies have to be
text-derived or at least text-endorsed, and will necessarily be soft
and imperfectly logical.
Short CV: Karen Sparck Jones is
emeritus Professor of Computers and Information at the Computer
Laboratory, University of Cambridge. She has worked in automatic
language and information processing research since the late fifties,
and has many publications including nine books. She is a Fellow of the
British Academy and of the American Association for Artificial
Intelligence. She has received three awards for information retrieval
research as well as, in 2004, the Association for Computational
Linguistics' Lifetime Achievement Award. Her more recent
research has been on information retrieval models and practice, on
automatic summarising, and on system evaluation, where she is involved
in international programmes.
Publicity information:
http://www.cl.cam.ac.uk/~ksj
09.50- Emerging Semantic Web Trends: Transparent and Trustworthy Applications
Deborah L. McGuinness, Stanford
Abstract.
As web applications proliferate, more users (both people and agents)
find themselves faced with decisions about when and why to trust
application advice. In order to trust information obtained from
arbitrary applications, users need to understand how the information
was obtained and what it depended upon. Particularly in web
applications that may use question answering systems that may be
heuristic or incomplete or data that is either of unknown origin or may
be out of date, it becomes more important to have information about how
answers were obtained. Emerging web systems will return answers
augmented with Meta information about how answers were obtained. In
this talk, Deborah McGuinness will describe an approach that can
improve trust in answers generated from web applications by making the
answer process more transparent. The added information is aimed to
provide users (humans or agents) with answers to questions of trust,
reliability, recency, and applicability. While this is an area of
active research, there are technologies and implementations that can be
used today to increase application trustability. The talk will include
descriptions of a few representative applications using this approach.
Publicity information:
http://www.ksl.stanford.edu/people/dlm/publicity.html
10.50- XML full-text search and entity extraction
Aleksander Øhrn, Fast Search & Transfer
Abstract:
I'll present some of the development activities done at Fast Search
& Transfer where scalable search, XML technologies and entity
extraction are brought together in order to form powerful search and
discovery mechanisms. The combination of being able to express queries
that involve semantically meaningful entities (and requirements on how
they interrelate) plus the ability to analyze the returned result sets,
enables some interesting applications. Some open problems will also be
discussed.
11.20- Semantics for Personalized Search - An Example
Per Gunnar Auran, Yahoo!
Abstract:
This presentation will introduce and example on how simple semantic
relations can be used for a personalized search experience. The speech
will discuss a prototype search application that was developed by
Yahoo! Technologies Norway in 2004-2005 by a team lead by the author.
Short
CV: Per Gunnar Auran is a Senior Research Scientist at Yahoo!
Technologies Norway AS, where his main responsibility is search
relevancy for Yahoo!'s vertical search platform, Vespa. He is the
technical lead for research releated to document analysis and ranking,
query analysis and semantics, personalized and community search for
Vespa.
>From April 2000 to April 2003, Per Gunnar
Auran was the R&D Manager of the Data Analysis Group, at
Fast Search & Transfer ASA (FAST), focusing on web search data
analysis and search relevancy for AllTheWeb, a leading web search
engine of the time. Prior to that he was a research Scientist at the
Norwegian Paper and Pulp Research Institute. He holds MSc and PhD
degrees from the Norwegian Institute of Technology, specializing in
engineering cybernetics.
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