한국해양대학교

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RDF Data Management for Vessel and Patent Information

Title
RDF Data Management for Vessel and Patent Information
Author(s)
Zaslyana Binti Mozahker
Keyword
RDF, RDFS, Data Management, Vessel Information, Patent Information, RDF Triplestore, SPARQL
Publication Year
2020
Publisher
한국해양대학교 대학원
URI
http://repository.kmou.ac.kr/handle/2014.oak/12344
http://kmou.dcollection.net/common/orgView/200000283920
Abstract
The Resource Description Framework (RDF) is widely used to represent information in the Web. Efforts have been made to map RDF data to a relational representation, and this method has been adopted by several systems. RDF is queried using SPARQL, a standard W3C-recommended query language used to query graph and represent data as RDF triples. A set of tools and technologies are implemented and tested using SPARQL and Apache Jena Fuseki as RDF triplestore. The increasing size of RDF data requires the storage and query of an efficient system. These organizations’ framework, in the aspect of designing, analyzing, query optimization, storage and processing is required for efficient retrieval of RDF data. Together, SPARQL and RDF make it easier to merge results from multiple data sources. This thesis provides an overview of the method to manage data based on existing data of two organizations such as Port-MIS and KIPRIS. The RDF model is designed to enable web-based representation, information exchange and yet to suggest a promising direction for future research.
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해운항만물류학과 > Thesis
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