In the Semantic Web, metadata and ontology for representing semantics and conceptual relationships of information resources are essential factors. RDF and RDF Schema are the W3C standard models for describing metadata and ontology. In this paper, we focus on a result of analyzing available query patterns considering both RDF and RDF Schema. And we propose a structure to store and query using path information in graph models of RDF and RDF Schema. The proposed structure supports whole query patterns fairly. We can retrieve entities that are reached from a certain class, property, resource, or literal in RDF and RDF Schema without a loss of performance because of multiple joins with tables. And, through encoding schemes, we determine easily hierarchical relationships between classes or properties.
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YounHee KIM, ByungGon KIM, HaeChull LIM, "Design of Storage Structure for Path-Based Query on RDF and RDF Schema" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 6, pp. 1733-1735, June 2006, doi: 10.1093/ietfec/e89-a.6.1733.
Abstract: In the Semantic Web, metadata and ontology for representing semantics and conceptual relationships of information resources are essential factors. RDF and RDF Schema are the W3C standard models for describing metadata and ontology. In this paper, we focus on a result of analyzing available query patterns considering both RDF and RDF Schema. And we propose a structure to store and query using path information in graph models of RDF and RDF Schema. The proposed structure supports whole query patterns fairly. We can retrieve entities that are reached from a certain class, property, resource, or literal in RDF and RDF Schema without a loss of performance because of multiple joins with tables. And, through encoding schemes, we determine easily hierarchical relationships between classes or properties.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.6.1733/_p
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@ARTICLE{e89-a_6_1733,
author={YounHee KIM, ByungGon KIM, HaeChull LIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Design of Storage Structure for Path-Based Query on RDF and RDF Schema},
year={2006},
volume={E89-A},
number={6},
pages={1733-1735},
abstract={In the Semantic Web, metadata and ontology for representing semantics and conceptual relationships of information resources are essential factors. RDF and RDF Schema are the W3C standard models for describing metadata and ontology. In this paper, we focus on a result of analyzing available query patterns considering both RDF and RDF Schema. And we propose a structure to store and query using path information in graph models of RDF and RDF Schema. The proposed structure supports whole query patterns fairly. We can retrieve entities that are reached from a certain class, property, resource, or literal in RDF and RDF Schema without a loss of performance because of multiple joins with tables. And, through encoding schemes, we determine easily hierarchical relationships between classes or properties.},
keywords={},
doi={10.1093/ietfec/e89-a.6.1733},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Design of Storage Structure for Path-Based Query on RDF and RDF Schema
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1733
EP - 1735
AU - YounHee KIM
AU - ByungGon KIM
AU - HaeChull LIM
PY - 2006
DO - 10.1093/ietfec/e89-a.6.1733
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2006
AB - In the Semantic Web, metadata and ontology for representing semantics and conceptual relationships of information resources are essential factors. RDF and RDF Schema are the W3C standard models for describing metadata and ontology. In this paper, we focus on a result of analyzing available query patterns considering both RDF and RDF Schema. And we propose a structure to store and query using path information in graph models of RDF and RDF Schema. The proposed structure supports whole query patterns fairly. We can retrieve entities that are reached from a certain class, property, resource, or literal in RDF and RDF Schema without a loss of performance because of multiple joins with tables. And, through encoding schemes, we determine easily hierarchical relationships between classes or properties.
ER -