[Dbworld] Call for Participation: Mining for and from the Semantic Web (MSW2004)

Call for Participation  -- please excuse cross-postings

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+     Mining for and from the Semantic Web (MSW2004)
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+     International Workshop at the
+     10th International ACM SIGKDD Conference
+     on Knowledge Discovery and Data Mining KDD 2004
+     22nd August 2004 - Seattle, WA, USA
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+     http://km.aifb.uni-karlsruhe.de/ws/msw2004
+
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*** Program

http://km.aifb.uni-karlsruhe.de/ws/msw2004/program.html

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*** Objectives

The intention of the workshop is to bring together researchers
from the two research areas Semantic Web and Knowledge Discovery.
According to T. Berners-Lee the Semantic Web is "an extension of
the current web in which information is given well-defined
meaning, better enabling computers and people to work in
cooperation". Current standardization efforts include e.g. the W3C
recommendation for the Web Ontology Language (OWL). Knowledge
Discovery is defined by U.M. Fayyad as "the nontrivial process of
identifying valid, previously unknown, potentially useful patterns
in data".

We foresee two ways of combining these areas. On the one hand,
mining for the semantic web includes the application of knowledge
discovery methods and techniques to support the setting up of the
semantic web itself. Prominent examples are here ontology learning
and population of ontologies (instance learning). On the other
hand, mining from the semantic web emphasizes the usage of
semantic web technologies for mining purposes such as e.g. the
usage of taxonomies in recommender systems, applying association
rules with generalizations or clustering with background knowledge
in form of ontologies.

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*** Invited Talk

Mining Structures to Predict Semantics
Alon Y. Halevy


*** Accepted Papers

Full Papers
===========

- Large-Scale Extraction of Fine-Grained Semantic
  Relations between Verbs,
  Timothy Chklovski, Patrick Pantel

- SEMEX: Mining for Personal Information Integration,
  Xin Dong, Alon Halevy, Ema Nemes, Stephan B. Sigurdsson, Pedro Domingos

- The Terascale Challenge, Deepak Ravichandran,
  Patrick Pantel, Eduard Hovy

- Mutual Enhancement of Schema Mapping and Data Mapping,
  Simon Guo, Mingchuan Guo,Yong Yu

- Boosting for Text Classification with Semantic Features,
  Stephan Bloehdorn, Andreas Hotho

- Sentiment Extraction from Unstructured Text using Tabu
  Search-Enhanced Markov Blanket,
  Xue Bai and Rema Padman, Edoardo Airoldi

Position Papers
===============

- A Knowledge Discovery Workbench for the Semantic Web,
  Jens Hartmann, York Sure

- PositionPaper: Exploiting Recurring Structure in a
  Semantic Network,
  Shawn R. Wolfe, Richard M. Keller

- A Framework for Image Annotation Using Semantic Web,
  Ahmed Bashir and Latifur Khan

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