An OWL-based extensible transcoding system for mobile multi-devices

Hsu, I-Ching; Kao, Shang‐Juh

doi:10.1177/0165551505052346

Cited by 14 publications

(7 citation statements)

References 17 publications

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“…Many studies of integrating Semantic Web technologies with various application domains have been reported recently by researchers [12][13][14][15][16][17][18][19][20]. In the section, we discuss Semantic Web technologies used in the battle management domain.…”

Section: Related Workmentioning

confidence: 99%

Semantic-based Military Scenario Generation for Mission Planning

Hsu¹,

Tzeng²,

Cheng³

et al. 2011

JCIT

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Traditional manually establish a military scenario is a time-consuming and costly task. The question of representing the mission plan associated with military scenario domain does not yet have a single firm solution. While there is a clear need to capture the internal relationships among the military scenario resources, including unit, equipment, task, force, and COA. The main aim of this research was to investigate how OWL-based ontology, RDF-based metadata, Jena, and MSDL technologies can be used to develop Semantic-based Military Scenario Development platform (SMSD platform) in the military scenario domain. The SMSD platform is implemented based on the multiplelayered military scenario development framework. In order to demonstrate the feasibility of SMSD platform, the study shows how military commander can be assisted to semi-automatically generate a military mission plan with MSDL document.

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Section: Related Workmentioning

confidence: 99%

Semantic-based Military Scenario Generation for Mission Planning

Hsu¹,

Tzeng²,

Cheng³

et al. 2011

JCIT

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“…In our previous research (Hsu and Kao, 2005), we proposed an OWL-based extensible transcoding system (OETS) that adopted annotation-based transcoding approach and employed the OWL. OETS is based on an extensible transcoding policy infrastructure, with a hierarchical structure of ontologies, and can automatically render an HTML document in WAP phones.…”

Section: Related Workmentioning

confidence: 99%

“…3, comprises four layers, the Meta Layer, Language Layer, Ontology Layer, and Instance Layer. The ontology multiple-layered framework corresponds to the semantic layer of the traditional semantic web stack (Hsu and Kao, 2005). This study adopts the emerging OWL technology to create an ontology multiple-layered architecture, which is used to develop the ontology-based repository (OBR) of the HMDT platform.…”

Section: Ontology Multiple-layered Architecturementioning

confidence: 99%

A platform for transcoding heterogeneous markup documents using ontology-based metadata

Hsu

Chi

Bor

2009

Journal of Network and Computer Applications

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“…It describes some application-relevant part of the world in a machineunderstandable way. The Web ontology language OWL supports the development of an ontology multiple-layered architecture [21] which facilitates the integration of domain-level ontologies with top-level ontologies. The reasoning capabilities of OWL will be discussed in the next section.…”

Section: Multi-layered Semantic Framework For Xlink Applicationsmentioning

confidence: 99%

Semantic Web approach to smart link generation for Web navigations

Kao

Hsu

2006

Softw Pract Exp

Self Cite

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The rapid development of the Internet has led to diverse applications of accessing various Web resources, such as Web pages, XML documents, pictures and video and audio files. Intelligently discovering how these Web resources are related in order to enable effective Web surfing is a current challenge in Internet development. The XML Link Language (XLink), which is a W3C recommendation for describing the relationships among Web resources, is a potential solution to this problem. However, XLink is still short of knowledge representation in handling computer-interpretable effects, such as dynamic link generations. This study attempts to integrate knowledge into XLink by defining a multi-layered semantic framework. The proposed framework is across four layers of the semantic Web stack, including the URI layer, XML (XLink) layer, ontology layer and rule layer, to facilitate machine understanding. The ontology, which is based on description logics, provides sound reasoning, while the rule is a logic program built on top of an ontology to support complementary inference capabilities. Based on the multi-layered semantic framework, an intelligent XLink shell, called XLinker, is also developed to facilitate three semantic approaches of linking associations, i.e. XLink-based metadata, ontology-based reasoning and rule-based inference. To demonstrate the feasibility of XLinker, an XLink Transcoding Web Server is also implemented to reveal smart hyperlink generation for Web navigations. Copyright (C) 2006 John Wiley & Sons, Ltd

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An OWL-based extensible transcoding system for mobile multi-devices

Cited by 14 publications

References 17 publications

Semantic-based Military Scenario Generation for Mission Planning

Semantic-based Military Scenario Generation for Mission Planning

A platform for transcoding heterogeneous markup documents using ontology-based metadata

Semantic Web approach to smart link generation for Web navigations

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