Անվանում:
Efficient Processing of RDF Data Using Hadoop
Հեղինակ:
Տեսակ:
Չվերահսկվող բանալի բառեր:
Distributed computing ; mapreduce ; semantic web
Ամփոփում:
Semantic Web concepts and technologies are getting wide acceptance among different groups interested in interoperable knowledge representation and reasoning. With emergence of cloud technologies for distributed storage and processing of huge amounts of data reasoning of large volumes of RDF data is becoming possible. We are using the MapReduce paradigm with Jena framework for representing and processing distributed semantic data in RDF format. In this paper we represent techniques of using Elephas library and its extensions and Hadoop framework to support efficient processing of RDF data stored in distributed storage
Լեզու:
URL:
Կազմակերպության անվանում:
Institute for Informatics and Automation Problems
Երկիր:
Տարի:
Ժամանակահատված:
Գիտաժողովի անվանում:
11th International Conference on Computer Science and Information Technologies CSIT 2017