Dr. M. Skowron, OFAI, Vienna

Lecture
                                VORTRAG
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI)
                      Freyung 6/6, A-1010 Wien
 Tel.: +43-1-53361120,  Fax: +43-1-5336112-77,  Email: sec@ofai.at
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 Dr. Marcin Skowron
 OFAI


           A WEB BASED APPROACH TO FACTOID AND COMMONSENSE
                        KNOWLEDGE RETRIEVAL

 In recent years, the amount of machine readable resources has been
 rapidly increasing, including the textual content of the WWW. Although,
 new generations of the Internet search engines employed much more
 sophisticated methods and took the advantage of the constantly
 increasing computer processing power for many Internet users,
 especially for those who do not possess sufficient knowledge or
 experience with using the currently available solutions, the problem
 of accessing relevant and reliable information in a timely manner
 awaits for its proper solution. Since language along with its
 communication function is used to represent knowledge and human beings'
 recognition of the world, one can also perceive the growing size of
 textual resources as an asset usable for providing commonsense and
 general knowledge to computer systems. Without such knowledge machines
 cannot reason in a way similar to human beings, which slows down the
 spread of AI systems.

 The talk attempts to addresses the challenges and opportunities that
 appeared along with the growth of the machine readable textual
 resources by introducing methods for factoid and commonsense knowledge
 retrieval from the WWW. These include the Interactive Clustering-Driven
 Approach to Question Answering, the query formation method based on the
 Query Generation Patterns, Support Vector Machines based question
 classification with the extended set of features, as well as the
 extensive utilization of the question category information in the
 documents retrieval, answer candidates extraction and verification
 processes of the Question Answering System. The presentation
 discusses also the method for the automatic retrieval of commonsense
 and general knowledge concepts from the WWW, usable by the computer
 systems. The methods were applied and evaluated in the Web Based
 Question Answering, Interactive Clustering-Driven Question Answering
 and Web Based Knowledge Retrieval Systems.


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  Zeit:   Montag, 29. Mai 2006, 18:30 Uhr pktl.

  Ort:    Oesterreichisches Forschungsinstitut
          fuer Artificial Intelligence, OFAI
          Freyung 6, Stiege 6, 1010 Wien.


  OESTERREICHISCHES FORSCHUNGSINSTITUT
  FUER ARTIFICIAL INTELLIGENCE



  o.Univ.-Prof. Ing. Dr. Robert Trappl