Paper Info
Title
Applying Caching Capabilities to Inference Applications Based on Semantic Web
Abstract
Nowadays there is a large number of Expert Systems available to users requiring the extraction of data relevant to specific domains, many of which are based on reasoning and inference. However, many of these tools offer slow execution time, resulting in delayed response times to the queries made by users. The strategy of caching to define specific patterns of results enables such systems to eliminate the requirement to repeat the same queries, speeding up the response time and eliminating redundancy. This paper proposes a caching strategy for an Expert System based on Semantic Web and reasoning and inference techniques. Caching strategies have previously been applied to simple XML queries. Performance has been evaluated using an existing system for medical diagnosis, which demonstrates the increased efficiency of the system.
Year
DOI
Venue
2009
10.1007/978-3-642-03958-4_3
Studies in Computational Intelligence
Keywords
Field
DocType
caching,semantic web,ontologies,inference,rule,pattern recognition
Ontology (information science),Data mining,XML,Information retrieval,Inference,Computer science,Expert system,Response time,Semantic Web,Redundancy (engineering),Medical diagnosis
Conference
Volume
ISSN
Citations 
244
1860-949X
0
PageRank 
References 
Authors
0.34
11
7
Name
Order
Citations
PageRank
Alejandro Rodríguez-González110426.37
Enrique Jiménez221.05
Mateusz Radzimski3192.78
Juan Miguel Gómez47411.62
Giner Alor-Hernández513639.47
Rubén Posada-Gómez688.35
José Emilio Labra Gayo722033.25