By Mario Michele Gala, Elisa Quintarelli, Letizia Tanca (auth.), John L. Pfaltz, Manfred Nagl, Boris Böhlen (eds.)
This publication constitutes the completely refereed post-proceedings of the second one overseas Workshop on functions of Graph modifications with commercial Relevance, AGTIVE 2003, held in Charlotesville, Virginia, united states in September/October 2003.
The 27 revised complete papers and eleven revised demo papers provided including 2 invited papers and five workshop reviews have been rigorously chosen in the course of iterated rounds of reviewing and revision. The papers are prepared in topical sections on internet purposes; information buildings and knowledge bases; engineering functions; agent-oriented and practical courses and distribution; item- and aspect-oriented structures; average languages: processing and structuring; reengineering; reuse and integration; modeling languages; bioinformatics; and multimedia, photograph, and visible languages.
Read or Download Applications of Graph Transformations with Industrial Relevance: Second International Workshop, AGTIVE 2003, Charlottesville, VA, USA, September 27 - October 1, 2003, Revised Selected and Invited Papers PDF
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Extra resources for Applications of Graph Transformations with Industrial Relevance: Second International Workshop, AGTIVE 2003, Charlottesville, VA, USA, September 27 - October 1, 2003, Revised Selected and Invited Papers
Theorem 4 says they cannot be defined by an NT-free GRS. Lemma 1 presents a general method for showing that an NT-free GRS cannot define a given shape. Lemma 1 (Proving graph languages are undefinable) Graph language cannot be defined by an NT-free GRS if: where To use Lemma 1 we show that for every cannot be rewritten to some other graph there is a graph which without a rule of size at least Theorem 4 (CBTs cannot be defined by an NT-free GRS) No NT-free GRS can specify complete binary trees. We can often make a language specifiable by using non-terminals.
All examples in this paper are confluent by this method as all their critical pairs are strongly joinable. Two reduction rules form a critical pair if they can be applied to the same graph such that one rule removes part of the graph required to apply the other rule. Closedness can be tested by disregarding any critical pair which only occurs as part of non-language member graphs. Theorem 3 (Complexity of testing membership) If S is a PGRS then membership of is decidable in polynomial time. We assume S is fixed, so the number of rules is fixed and the size of the largest left graph in is a constant Checking whether any rule in matches a graph G requires time.
B. G. Hillebrand, and D. Suciu. A query language and optimization techniques for unstructured data. In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, pages 505– 516. ACM Press, 1996.  S. S. Chawathe, S. Abiteboul, and J. Widom. Managing historical semistructured data. Theory and Practice of Object Systems, 5(3): 143–162, 1999. S. Chen, J. S. Park, and P. S. Yu. Data mining for path traversal patterns in a web environment. In Proceedings of the 16th International Conference on Distributed Computing Systems, pages 385–392, 1996.