|Title:||Knowledge Mediation in the WWW Based on Labelled DAGs with Attached Constraints.|
Articles in Computer and Information Science|
|Issue:||Vol. 6(2001): nr 007|
This paper introduces a framework where the semantic access to Web
resources is realised by a mediator module. Users can express their
knowledge needs using the terms of a shared ontology without taking
into account context-specific locations, encodings, and
vocabulary. Integration among shared ontologies and Web meta data
descriptions is achieved by inserting an intelligent meta-level layer
using lifting rules. Lifting rules can be used to automatically
decompose semantic information needs into concrete information
requests. Wrapper and facilitator agents are used to find suitable
information on the Web.
Labelled directed acyclic graphs (DAGs) allow a natural modelling of syntactical, structural and semantic properties of standardised XML Web data meta data, and ontologies, and their operations. However, graph-based data models are only a first step towards intelligent tools for automated knowledge extraction from the WWW. Planning and design synthesis of technical systems involve dealing with interacting constraints, imposed by selected tasks, such as cost or compatibility constraints, or general constraints.
As a step to cope with these requirements, a novel approach combining constraint processing and reasoning with Web (meta-)data is presented. Canonical graphterms are used for the encoding of labelled DAGs, which are embedded into constraint logic formulas, thus representing Web (meta-)data and ontologies. Graph rewriting and application of the built-in reasoning facilities such as matching, unification, subsumption and constraint solving of a constraint-logic language can then be used to efficiently automate mediation tasks.
|In ETAI area "The Semantic Web"|
|Info from authors|