caa a22 4500 60546832X CHVBK 20210128100316.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00500-014-1247-3 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1247-3 Finding relevant semantic association paths using semantic ant colony optimization algorithm [Elektronische Daten] [V. Viswanathan, Ilango Krishnamurthi] Semantic Associations are complex relationships between entities in a knowledge base represented in a graph. While searching Semantic Association between entities in an RDF graph, there may be too many paths connecting them. Each path has different meaning depending on the type of relationships, in which, some of them may be irrelevant according to the users' perspective and these paths are to be filtered. To improve the relevance in finding semantic association, the proposed research suggests Semantic Ant Colony Optimization algorithm in searching paths between entities in an RDF graph. Experiments are conducted to analyze the efficiency of the algorithm in searching the relevant paths and to check for the quality of solution. The results show that the proposed approach provide more relevant semantic associations according to the users' perspective. Springer-Verlag Berlin Heidelberg, 2014 Semantic Web nationallicence Semantic associations nationallicence RDF nationallicence RDFS nationallicence Ant colony optimization nationallicence Semantic ant colony optimization nationallicence Viswanathan V. School of Computing Sciences and Engineering, VIT University, Chennai Campus, 600127, Chennai, Tamil Nadu, India aut Krishnamurthi Ilango Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil nadu, India aut Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 251-260 1432-7643 19:1<251 2015 19 500 https://doi.org/10.1007/s00500-014-1247-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1247-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Viswanathan V. School of Computing Sciences and Engineering, VIT University, Chennai Campus, 600127, Chennai, Tamil Nadu, India aut NATIONALLICENCE 700 1- Krishnamurthi Ilango Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil nadu, India aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 251-260 1432-7643 19:1<251 2015 19 500