Knowledge transformations between frame systems and RDB systems

ABSTRACT

For decades, researchers in knowledge representation (KR) have argued for and against various choices in KR formalisms, such as Rules, Frames, Semantic nets, and Formal logic. In this paper, we present a set of transformations that can be used to move knowledge across two fundamentally different KR formalisms: Frame-based systems and Relational database systems (RDBs). We also describe partial implementations of these transformations for a specific pair of such systems: ProtTgT and the Postgres RDB system.

REFERENCES

• 1: Levesque HJ and Brachman RJ. Expressiveness and tractability in knowledge representation and reasoning. Computational Intelligence, 1987; 3:78--93.
• 2: John H. Gennari , Mark A. Musen , Ray W. Fergerson , William E. Grosso , Monica Crubézy , Henrik Eriksson , Natalya F. Noy , Samson W. Tu, The evolution of Protégé: an environment for knowledge-based systems development, International Journal of Human-Computer Studies, v.58 n.1, p.89-123, January 2003 [doi>10.1016/S1071-5819(02)00127-1]
• 3: Michael Uschold , Michael Gruninger, Ontologies and semantics for seamless connectivity, ACM SIGMOD Record, v.33 n.4, December 2004 [doi>10.1145/1041410.1041420]
• 4: Project Seedpod, at http://sig.biostr.washington.edu/projects/seedpod/

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Representation languages

General Terms:
Algorithms, Design, Performance

Keywords:
knowledge interoperation, knowledge transformation