Semantic Web: Asking the Right Questions

Searching for information on the Internet or in free texts requires knowledge of proper keywords. S ome information is quite difficult to find and in most cases many irrelevant documents are retrieved. The same proble m is evident when large help systems are used. Techniques based on clusterization and visualization of information have been used to alleviate this problem, but in practice suc h methods are not very useful. A novel approach based on aski ng min- imum number of questions that should make the query unique is presented here. The background knowledge stored in semantic memory has been collected using WordNet and many other linguistic resources. A simple experimen t in medical domain demonstrates the potential of this a pproach.

[1]  J. Weizenbaum.  Computer Power And Human Reason: From Judgement To Calculation , 1978 .

[2]  J. Szyma.  Semantic Memory Architecture for Knowledge Acquisition and Management , 2007 .

[3]  James A. Hendler,et al.  The Semantic Web" in Scientific American , 2001 .

[4]  Wlodzislaw Duch,et al.  Neurolinguistic approach to natural language processing with applications to medical text analysis , 2008, Neural Networks.

[5]  J. Weizenbaum.  From Computer Power and Human Reason From Judgment to Calculation , 2007 .

[6]  Bruce R. Schatz,et al.  Extracting noun phrases for all of MEDLINE , 1999, AMIA.

[7]  Samuel Kaski,et al.  Mining massive document collections by the WEBSOM method , 2004, Inf. Sci..

[8]  John F. Sowa,et al.  Principles of semantic networks , 1991 .

[9]  Shiro Usui,et al.  Visiome: neuroinformatics research in vision project , 2003, Neural Networks.

[10]  M. Ross Quillian,et al.  Retrieval time from semantic memory , 1969 .

[11]  E. Tulving,et al.  Episodic and semantic memory , 1972 .

[12]  Bruce R. Schatz,et al.  The Interspace: Concept Navigation Across Distributed Communities , 2002, Computer.

[13]  A Ehrenfeucht,et al.  Organization of memory. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Douglas B. Lenat,et al.  CYC: a large-scale investment in knowledge infrastructure , 1995, CACM.

[15]  Steffen Staab,et al.  Annotation for the semantic web , 2003 .

[16]  Włodzisław Duch,et al.  Towards Avatars with Artificial Minds: Role of Semantic Memory , 2007 .

[17]  Allan Collins,et al.  A spreading-activation theory of semantic processing , 1975 .

[18]  R. Studer,et al.  Semantic Web Technologies: Trends and Research in Ontology-based Systems , 2006 .

[19]  B R Schatz,et al.  Information Retrieval in Digital Libraries: Bringing Search to the Net , 1997, Science.

[20]  Lance J. Rips,et al.  Structure and process in semantic memory: A featural model for semantic decisions. , 1974 .

[21]  Lotfi A. Zadeh,et al.  Precisiated Natural Language (PNL) , 2004, AI Mag..

[22]  Julian Szymanski,et al.  Knowledge representation and acquisition for large-scale semantic memory , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[23]  Lotfi A. Zadeh,et al.  Precisiated Natural Language , 2007, Aspects of Automatic Text Analysis.