Title
Topology Labeling: An Indexing Structure to Find Complex Relationships within Ontologies
Date Issued
01 January 2013
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Springer Verlag
Abstract
Semantic Web technologies have contributed mainly to organize the knowledge and to search about this organized knowledge. One of the most important and complex kinds of search is to know if two entities are related within an ontology. These are called Semantic Associations, which have been classified using ρ operators: ρ-path, ρ-join and ρ-iso. Then, a ρ-query will solve any of them. Studies about this area offer low performance execution times, while others increase the performance with pre-processing using complex structures in memory. We focus on design of a simplified representation of the ontology that facilitates the graph traversal and reduces the algorithms complexity to solve these operators, starting from the first of them: ρ-path. We propose a topology labeling: we create a tree structure and identify each node with an interval index besides the level of root dependence. We will leave some space within the interval to manage future ontology modifications. To validate this technique we will create ontologies of the order of thousands to 10000 nodes and a framework test with the implementation of the technique proposed in this paper. We will implement other techniques in order to compare execution times and performance. © Springer-Verlag Berlin Heidelberg 2013.
Start page
284
End page
294
Volume
415
Language
English
OCDE Knowledge area
Ciencias de la información
Subjects
Scopus EID
2-s2.0-84904356834
ISBN
9783642541049
Source
Communications in Computer and Information Science
Resource of which it is part
Communications in Computer and Information Science
ISSN of the container
18650929
ISBN of the container
9783642541049
Conference
4th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2012
Sources of information:
Directorio de Producción Científica
Scopus