Reasoning strategies for semantic Web rule languages
Name
403948302-MIT.pdf
Description
Full printable version
Size
5.13 MB
Format
Adobe PDF
Checksum (MD5)
9ab1a14b8d787315bb87d60a916a7fcf
Author(s)
Scharf, Joseph (Joseph Eric)
Advisor(s)
Tim Berners-Lee.
Date Issued
2008
Publisher
Massachusetts Institute of Technology
Abstract
Dealing with data in open, distributed environments is an increasingly important problem today. The processing of heterogeneous data in formats such as RDF is still being researched. Using rules and rule engines is one technique that is being used. In doing so, the problem of handling heterogeneous rules from multiple sources becomes important. Over the course of this thesis, I wrote several kinds of reasoners including backward, forward, and hybrid reasoners for RDF rule languages. These were used for a variety of problems and data in a wide range of settings for solving real world problems. During my investigations, I learned several interesting problems of RDF. First, simply making the term space big and well names paced and the language low enough expressivity did not make computation necessarily easier. Next, checking proofs in an RDF environment proved to be hard because the basic features of RDF that make it possible for it to represent heterogeneous data effectively make proofs difficult. Further work is needed to see if some of these problems can be mitigated. Though rules are useful, using rules correctly and efficiently for processing RDF data proved to be difficult.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 101-104).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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