Title
An incremental and distributed inference method for large-scale ontologies based on MapReduce paradigm.
Abstract
With the upcoming data deluge of semantic data, the fast growth of ontology bases has brought significant challenges in performing efficient and scalable reasoning. Traditional centralized reasoning methods are not sufficient to process large ontologies. Distributed reasoning methods are thus required to improve the scalability and performance of inferences. This paper proposes an incremental and distributed inference method for large-scale ontologies by using MapReduce, which realizes high-performance reasoning and runtime searching, especially for incremental knowledge base. By constructing transfer inference forest and effective assertional triples, the storage is largely reduced and the reasoning process is simplified and accelerated. Finally, a prototype system is implemented on a Hadoop framework and the experimental results validate the usability and effectiveness of the proposed approach.
Year
DOI
Venue
2015
10.1109/TCYB.2014.2318898
IEEE T. Cybernetics
Keywords
Field
DocType
rdf,incremental knowledge base,knowledge based systems,centralized reasoning method,big data,large-scale ontology,distributed reasoning method,mapreduce,incremental inference method,inference mechanisms,learning (artificial intelligence),runtime searching,assertional triples,hadoop framework,reasoning process,semantic data,mapreduce paradigm,distributed inference method,ontology reasoning,ontologies (artificial intelligence),high-performance reasoning,semantic web,ontology bases,transfer inference forest,ontologies,cognition,distributed databases,vegetation,resource description framework
Ontology (information science),Knowledge representation and reasoning,Computer science,Inference,Model-based reasoning,Artificial intelligence,Opportunistic reasoning,Reasoning system,Machine learning,Scalability,Semantic data model
Journal
Volume
Issue
ISSN
45
1
2168-2275
Citations 
PageRank 
References 
17
0.62
16
Authors
4
Name
Order
Citations
PageRank
Bo Liu114311.62
Keman Huang224222.29
Jianqiang Li315619.55
MengChu Zhou48989534.94