The workshop aims to focus the intersection of the two increasingly important
areas of research: Text-Mining and Link-Analysis.
Many areas of application involve both unstructured data resources, like
textual documents, and a link based organization of these resources, which
itself may appear quite obscure and unstructured from the user point of view.
On the other hand, text mining and link analysis have evolved as more or less
independent research areas, each covering a vast number of scenarios, methods,
and techniques. The two appear similar in their requirements for sophisticated
analyses and effective techniques to extract and utilize information hidden in
the data resource or a network of data.
Although, in practice, these two areas are very much related there have been
almost no events so far addressing explicitly the common problems and
techniques. Therefore, the aim of this Workshop is to attract the scientists in
the two research areas and provide a forum for sharing ideas and exchanging
insights from the two fields. This will potentially lead to interesting new
ideas and move the research forward.
Over the past five years, Text-Mining has been receiving a growing attention
mainly because of the availability of large text corpora in the electronic form
and an evident lack of "intelligent" tools and techniques to process that data.
Indeed, there is a need for effective and efficient methods for information
extraction, text categorization, ontology building, visualization, intelligent
search, etc.
Link-Analysis, on the other hand, has been developed over the past 20 years in
various fields, including Mathematics (Graph-Theory), Social Sciences
(Social-Network-Analysis), and Computer-Science (graph as a data-structure).
Recently this area has attracted a wider attention for its applicability in law
enforcement investigations (e.g., terrorism), fraud detection (e.g., insurance,
banking), WWW analysis (e.g., search engines, marketing), telecommunications
(e.g., routers, traffic, connectivity), and similar.
Particularly interesting are the problems and issues that fall within the
intersection of the two fields. Typical examples are in the areas of trend
analysis, community identification, web user profiling, media clipping,
marketing, etc., where link analysis and text analysis complement each other to
achieve the effect of higher information utilization. Another interesting
scenario is extraction of information from unstructured data, its
representation in the graphical form, and further analysis of the graph
structure to derive and discover new knowledge. The broader context of the
workshop can be related in some respect to
the areas of Data Mining, Machine Learning, Information Retrieval,
Natural-Language-Processing, Social Networks Analysis and general Graph Theory.
Particular topics of interest for the workshop include but are not limited to:
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Text Mining
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Link Analysis
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Web Mining
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Information Extraction
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Scalability of developed approaches
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Visualization of text and link structures
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Performance evaluation measures
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Innovative applications
Submission Instructions
We invite four kinds of submissions:
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full research paper (up to ten pages long)
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short position paper (up to three pages long)
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poster proposal (one page abstract)
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demo presentation (up to two pages description).
Submissions should be sent by March 17, 2003 in the electronic
form as a PDF or PostScript file to Marko.Grobelnik@ijs.si.
Subject: TextLink 2003 workshop submission paper/poster/demo.
Use the same formating as for the main IJCAI-2003
conference.
Note: Participants are expected to register for the main IJCAI conference in
addition to the workshop.
Important Dates and Deadlines
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Deadline for the submission of full & short papers, posters and demo
presentations: March 17, 2003
.
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Notification of acceptance/rejection: April 21, 2003
.
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Deadline for the receipt of camera-ready papers: May 10, 2003.
Organizing Committee
Marko Grobelnik
J. Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Marko.Grobelnik@ijs.si
Natasa Milic-Frayling
Microsoft Research Ltd, 7 J J Thomson Avenue, Cambridge, CB3 0FB, United
Kingdom
natasamf@microsoft.com
Dunja Mladenic
J. Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Dunja.Mladenic@ijs.si
Past events
We feel that the continuity of meeting and exchanging ideas is essential for
effective promotion and development of this research area.
This Workshop is partially supported by the European FP5 project "Data Mining
and Decision Support for Business Competitiveness: A European Virtual
Enterprise (Sol-Eu-Net)".
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