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Sung-Jae Jung 1,2 and Dong-Min Seo 1 and Seungwoo Lee 1 and Hwan-Min Kim 1 and Hanmin Jung 1,2
Academic Editor:Hwa-Young Jeong
1, Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea
2, Department of Knowledge and Information Science, University of Science and Technology, Korea (UST), 217 Gajeong-ro, Yuseong-gu, Daejeon 305-350, Republic of Korea
Received 30 August 2013; Accepted 29 October 2013; 9 January 2014
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction
Sensor networks are used in wide range of applications such as weather monitoring, environmental monitoring, military surveillance, medical science for patient health care, and biochemical detection [1-3]. As sensors have been increasingly adopted by a diverse array of disciplines [4-6], heterogeneous standards based on different hardwares, softwares, and protocols have been introduced. As a consequence, Semantic Web technologies have been proposed as a means to manage the huge amount of heterogeneous sensor nodes and their observation data [2, 3]. The combination of sensor networks and ontologies can bring significantly added value to intelligently process the raw data into meaningful information [7]. By annotating sensor data with spatial, temporal, and thematic semantic metadata, one can retrieve contextual information from the annotated sensor data [3]. This study aims to introduce a novel path querying scheme which can efficiently extract situational knowledge from semantically annotated sensor data.
In the field of generic Semantic Web technology, several relationship finding services have been proposed. Microsoft coauthor path (http://academic.research.microsoft.com/VisualExplorer), Relfinder [8], and OntoRelfinder [9] are the examples of relationship finding services which retrieve relationships between two given objects of interest from Resource Description Framework (RDF) graph. RDF is a language for representing information about resources in the World Wide Web. By generalizing the concept of a "Web resource," RDF can also be used to represent information about things that can be identified on the Web [10]. RDF describes a particular resource using a set of RDF statements of the form subject, predicate, object triples, also known as subject, property, value. The subject is the resource, the...