Knowledge Representation Using Fuzzy XML Rules in Web-Based Expert System for Medical Diagnosis

The Web is a huge repository of information for large spectrum of decision making and advise. To effectively utilise it, there is a need for knowledge-based techniques. This chapter proposes a novel technique of knowledge representation using a fuzzy eXtensible Markup Language (XML). XML is an efficient tool to represent content; however, it lacks management of uncertainty and vagueness. The proposed technique serves dual advantages such as making the application Web-enabled and imparting benefits of uncertainty and intelligence. This chapter presents the general structure of fuzzy XML rule, DTD model, and the generic architecture of Web-based expert systems using fuzzy XML knowledge base for a variety of applications in different areas. To demonstrate the architecture proposed, an abdomen pain diagnosing system for appendicitis is discussed with sample rules along with a decision tree for the case.

[1]  G. Radhamani,et al.  Fuzzy Logic Based XQuery operations for Native XML Database Systems , 2009 .

[2]  Goran Panic,et al.  Fuzzy XML with Implementation , 2012, BCI.

[3]  Ernesto Damiani,et al.  A fuzzy extension of the XPath query language , 2008, Journal of Intelligent Information Systems.

[4]  David Maier.  Database Desiderata for an XML Query Language , 1998, QL.

[5]  R. Fitz.  On Perforating Inflammation of the Vermiform Appendix with Special Reference to Its Early Diagnosis and Treatment , 1935 .

[6]  Jian Liu,et al.  Fuzzy data modeling based on XML schema , 2009, SAC '09.

[7]  Zongmin Ma,et al.  Fuzzy data modeling and algebraic operations in XML , 2010 .

[8]  R. D. Rodrigues,et al.  Aliança: A proposal for a fuzzy database architecture incorporating XML , 2009, Fuzzy Sets Syst..

[9]  Susan B. Davidson,et al.  An Efficient XPath Query Processor for XML Streams , 2006, 22nd International Conference on Data Engineering (ICDE'06).

[10]  Bennett S. Shenker.  The accuracy of Internet search engines to predict diagnoses from symptoms can be assessed with a validated scoring system , 2014, Int. J. Medical Informatics.

[11]  Zongmin Ma,et al.  Modeling fuzzy information in UML class diagrams and object-oriented database models , 2012, Fuzzy Sets Syst..

[12]  Adnan Yazici,et al.  An Efficient Image Retrieval System Using Ordered Weighted Aggregation , 2008 .

[13]  Christian Mathis,et al.  A Query Processing Approach for XML Database Systems , 2005, Grundlagen von Datenbanken.

[14]  Reda Alhajj,et al.  Fuzzy Query Model for XML Documents , 2009, IDEAL.

[15]  Reinhold Haux,et al.  Health information systems - past, present, future , 2006, Int. J. Medical Informatics.

[16]  Adnan Yazici,et al.  An MPEG-7 Based Video Database Management System , 2004 .

[17]  Mohamed M. Abdallah,et al.  Efficient evaluation of relevance feedback algorithms for XML content-based retrieval systems , 2010, Int. J. Web Inf. Syst..

[18]  Özgür Ulusoy,et al.  Bilvideo-7: an MPEG-7- compatible video indexing and retrieval system , 2010 .

[19]  Vladik Kreinovich,et al.  Fuzzy logic and its applications in medicine , 2001, Int. J. Medical Informatics.

[20]  Alin Deutsch,et al.  XML-QL: A Query Language for XML , 1998 .

[21]  Harleen Kaur,et al.  Design and Implementation of Fuzzy Expert System for Back pain Diagnosis , 2011 .

[22]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[23]  Nicholas Kushmerick,et al.  Similarity-based Queries for XML Databases Using ELIXIR , 2001, WWW Posters.