By Su Gao, Steve Jackson, Yi Zhang
The articles during this publication are in line with talks given on the North Texas common sense convention in October of 2004. the most aim of the editors used to be to assemble articles representing varied fields inside of common sense that might either include major new effects and be available to readers with a basic historical past in common sense. integrated within the publication is an issue record, together compiled by means of the audio system, that displays one of the most very important questions in a variety of components of good judgment. This e-book can be priceless to graduate scholars and researchers alike around the spectrum of mathematical common sense
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Additional resources for Advances in Logic: The North Texas Logic Conference, October 8-10, 2004, University of North Texas, Denton, Texas
40-49.  T. Lukasiewicz, Weak nont~~orlotonic probabilistic logics, Principles of Knowledge Representation and Reasonip? 2004. [2S] M. Sikravesh, V. Loia, B. Azvine, FLI::~logic atr~lthe Itlterner (FLINT): Itrterrtet, World Wide Web, or~d seorclr etrgirtes. Soft Computing - A Fusion of Foundations. Methodologies and Applications 6 (5) (Aug. 2002,. 287-299.  B. Omelayenko, Learning of ontologies for the Wrb: tlre analysis ofexistent approaches, in: Proceedings of the International Workshop on Web Dynamics, 2001.
A path finder does not have to worry about these inconsistencies and can simply follow all paths between two entities. The presented ranking mechanism then decides which paths are more likely to be informative and which are less. In this order the paths are then presented to the user. This, like many graph search algorithms, does not really take edge semantics into account that go beyond specificity and other purely structural semantics. However, what at first sight seems to be a drawback proves to be extremely useful, because it allows fast access to the relevant part of the knowledge base and hence allows us to narrow down the number of statements we have to consider in a rigid logical proof.
Difficulties occur when the relevance is not known in advance for a testing set or when the degree of relevance for a particular document is required. Kagolovsky and others have proposed that rather than considering the user as a person with an information need to be satisfied, they may be thought of as being in a "anomalous state of knowledge" (ASK) . This approach is shown diagrammatically in Figure 3. This reflects the fact that the extent of the information need may not be clear to the user when they begin their search.