Title | ||
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An incremental and distributed inference method for large-scale ontologies based on MapReduce paradigm. |
Abstract | ||
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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 |
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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 Liu | 1 | 143 | 11.62 |
Keman Huang | 2 | 242 | 22.29 |
Jianqiang Li | 3 | 156 | 19.55 |
MengChu Zhou | 4 | 8989 | 534.94 |