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Prolog for Topic Map Constraints

Paper, by Erica Santosaputri

This paper proposes an abstract representation for topic map and its constraints.

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This paper examines the implementation of a constraint language for Topic Maps. Topic Maps are a way of structuring data or information that allow representations of relationships between subjects and attachment of additional information about these subjects. To ensure the rigidity of a topic map, the constraint language is used to specify the rules. The automated constraint validator required a common form of topic map representation. This paper proposes an abstract representation for topic map and its constraints. A translation rule from the abstract representation to Prolog facts and queries is defined. The Prolog engine is used as the automated constraint validator. This paper concentrates on AsTMa* language family, which is being developed at Bond University. A parser for AsTMa= and AsTMa! has been developed to allow topic map validation against its constraints.

 

The idea of Topic Maps is essential to enable dynamic information logistic. This requires a system that understands the context of the user to provide relevant informations and options automatically. Therefore semantic analysis is needed organizing content in a dynamic net structure.

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Jörg Wurzer
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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