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arXiv · 1207.2837

Search Algorithms for Conceptual Graph Databases

Abdurashid Mamadolimov
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Abstract

We consider a database composed of a set of conceptual graphs. Using conceptual graphs and graph homomorphism it is possible to build a basic query-answering mechanism based on semantic search. Graph homomorphism defines a partial order over conceptual graphs. Since graph homomorphism checking is an NP-Complete problem, the main requirement for database organizing and managing algorithms is to reduce the number of homomorphism checks. Searching is a basic operation for database manipulating problems. We consider the problem of searching for an element in a partially ordered set. The goal is to minimize the number of queries required to find a target element in the worst case. First we analyse conceptual graph database operations. Then we propose a new algorithm for a subclass of lattices. Finally, we suggest a parallel search algorithm for a general poset. Keywords. Conceptual Graph, Graph Homomorphism, Partial Order, Lattice, Search, Database.

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Abdurashid Mamadolimov. 2012-07-12. Search Algorithms for Conceptual Graph Databases. https://arxiv.org/abs/1207.2837

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