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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Knowledge Representation Formalisms And Methods (I.2.4) > Relation Systems (I.2.4...)  
 
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  1-5 of 5 Reviews about "Relation Systems (I.2.4...)": Date Reviewed
  Exploiting qualitative spatial reasoning for topological adjustment of spatial data
Wallgrün J.  SIGSPATIAL 2012 (Proceedings of the 20th International Conference on Advances in Geographic Information Systems, Redondo Beach, CA, Nov 6-9, 2012) 229-238, 2012.  Type: Proceedings

Suppose you have collected geographic information about a collection of objects and their positions. Their shapes are recorded accurately, but their positions may be misrecorded or misperceived. You additionally have information constr...

Jan 25 2013
  Beginning VB 2008 databases: from novice to professional
Agarwal V., Huddleston J., Apress, Berkeley, CA, 2008. 409 pp.  Type: Book (9781590599471)

As I usually work with Visual Basic (VB) and databases, I definitely enjoyed reading this book. I was pleasantly surprised at the ease in understanding the text....

Jul 21 2008
  On the logical foundations of compound predicate formulae for legal knowledge representation
Yoshino H. Artificial Intelligence and Law 5(1/2): 77-96, 1997.  Type: Article

The law is known as an abstract domain, with the interplay betweencomplex concepts at the heart of its logic. On the other hand, the lawis also concerned with the most minute of particulars, with each detailcontributing to the overall ...

May 1 1999
  Case-based reasoning
Kolodner J., Morgan Kaufmann Publishers Inc., San Francisco, CA, 1993.  Type: Book (9781558602373)

In the early years of any academic discipline, its results are scattered across a wide range of technical reports, conference papers, and papers in diverse journals. During its adolescence, it becomes the focus of conferences, speciali...

Oct 1 1995
  Deduction Graphs: An Algorithm and Applications
Yang C. IEEE Transactions on Software Engineering 15(1): 60-67, 1989.  Type: Article

Yang proposes a new graphical method based on deduction graphs to solve dependency, rule, and fact inference problems in relational databases, rule-based expert systems, logic programming, and general AI. The paper presents an algorith...

Sep 1 1989
 
 
 
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