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Enabling Semantic Queries Against the Spatial DatabasePENG, X. , HUANG, Z. |
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Author keywords
spatial database, semantic web, query processing
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About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 45 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01008
Web of Science Accession Number: 000301075000008
SCOPUS ID: 84860743212
Abstract
The spatial database based upon the object-relational database management system (ORDBMS) has the merits of a clear data model, good operability and high query efficiency. That is why it has been widely used in spatial data organization and management. However, it cannot express the semantic relationships among geospatial objects, making the query results difficult to meet the user's requirement well. Therefore, this paper represents an attempt to combine the Semantic Web technology with the spatial database so as to make up for the traditional database's disadvantages. In this way, on the one hand, users can take advantages of ORDBMS to store and manage spatial data; on the other hand, if the spatial database is released in the form of Semantic Web, the users could describe a query more concisely with the cognitive pattern which is similar to that of daily life. As a consequence, this methodology enables the benefits of both Semantic Web and the object-relational database (ORDB) available. The paper discusses systematically the semantic enriched spatial database's architecture, key technologies and implementation. Subsequently, we demonstrate the function of spatial semantic queries via a practical prototype system. The query results indicate that the method used in this study is feasible. |
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[1] COMPARISON OF THE DATA MATCHING PERFORMANCES OF STRING SIMILARITY ALGORITHMS IN BIG DATA, AKSOY, Bekir, UĞUZ, Sinan, ORAL, Okan, Mühendislik Bilimleri ve Tasarım Dergisi, ISSN 1308-6693, Issue 3, Volume 7, 2019.
Digital Object Identifier: 10.21923/jesd.467036 [CrossRef]
[2] Post-processing of Deep Web Information Extraction Based on Domain Ontology, LIU, L., PENG, T., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.04005 [CrossRef] [Full text]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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