Modeling and Mapping Implementation of Substation Knowledge Ontology Based on Protégé

Based on the basic knowledge of ontology and protégé, and the deficiency of semantic expression in the IEC61850 and IEC61970 Standard, this paper puts forward a mapping method from SCL to CIM, adopting Web Ontology Language OWL to build the semantic information model of SCL and CIM of substation knowledge ontology. In substation model, this mapping method could solve the problem of information sharing and interoperation between digitized substation and dispatch master station, and lay a foundation for further research on fusion of the two standards.

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Translation of Common Information Model to Web Ontology Language

Computational Science – ICCS 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72584-8_53 ◽

2007 ◽

pp. 414-417 ◽

Cited By ~ 8

Author(s):

Marta Majewska ◽

Bartosz Kryza ◽

Jacek Kitowski

Keyword(s):

Information Model ◽

Web Ontology Language ◽

Common Information ◽

Ontology Language ◽

Common Information Model

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Dynamic, Customized Workflow Using BDI Agent and Semantic Web Service

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.135-136.477 ◽

2011 ◽

Vol 135-136 ◽

pp. 477-483

Author(s):

Chih Hao Liu ◽

Jason Jen Yen Chen

Keyword(s):

Semantic Web ◽

Web Service ◽

Semantic Information ◽

Semantic Web Services ◽

Web Ontology Language ◽

Semantic Web Service ◽

Ontology Language ◽

Bdi Agent ◽

The World ◽

The Web

As the Web gradually evolves into the semantic web, the World Wide Web consortium (W3C) recommends that web ontology language (OWL) be used to encode semantic information content over the Web. Semantic web is an essential infrastructure to enhance Web to obtain better integration of information and intelligent use of web resources. Moreover, a web service is annotated by web ontology language for service (OWL-S) to form a semantic web service that, however, is a static description. The OWL-S based semantic web services thus are reactively invoked by users. How to dynamically coordinate, composite, or discover the services is an important issue.

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High-Level Smart Decision Making of a Robot Based on Ontology in a Search and Rescue Scenario

Future Internet ◽

10.3390/fi11110230 ◽

2019 ◽

Vol 11 (11) ◽

pp. 230 ◽

Cited By ~ 1

Author(s):

Xiaolei Sun ◽

Yu Zhang ◽

Jing Chen

Keyword(s):

Semantic Information ◽

Search And Rescue ◽

Web Ontology Language ◽

Atomic Actions ◽

Ontology Language ◽

Real Robot ◽

High Level ◽

Task Ontology ◽

Robot Platform ◽

And Task

The search and rescue (SAR) scenario is complex and uncertain where a robot needs to understand the scenario to make smart decisions. Aiming at the knowledge representation (KR) in the field of SAR, this paper builds an ontology model that enables a robot to understand how to make smart decisions. The ontology is divided into three parts, namely entity ontology, environment ontology, and task ontology. Web Ontology Language (OWL) is adopted to represent these three types of ontology. Through ontology and Semantic Web Rule Language (SWRL) rules, the robot infers the tasks to be performed according to the environment state and at the same time obtains the semantic information of the victims. Then, the paper proposes an ontology-based algorithm for task planning to get a sequence of atomic actions so as to complete the high-level inferred task. In addition, an indoor experiment was designed and built for the SAR scenario using a real robot platform—TurtleBot3. The correctness and usability of the ontology and the proposed methods are verified by experiments.

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OWL-Based Product Ontology Architecture and Representation for Sharing Product Knowledge on a Web

Volume 2: 27th Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2007-35312 ◽

2007 ◽

Cited By ~ 7

Author(s):

Jae-Hyun Lee ◽

Hyo-Won Suh

Keyword(s):

Information Sharing ◽

Product Information ◽

Generic Product ◽

International Standards ◽

Product Knowledge ◽

Web Ontology Language ◽

Development Environment ◽

Specific Product ◽

Knowledge Models ◽

Ontology Language

A collaborative product development environment requires sharing of product information among its participants. Product knowledge models and international standards have been developed for product information sharing. However, their models have limitations in representing their semantics explicitly, so a computer can not understand their semantics properly. It results in lack of information sharing. Recently, ontology gets attentions for automatic knowledge sharing because it can specify the semantics explicitly and logically. In addition, ontology-related standard language, such as web ontology language (OWL), is also proposed. In this paper, we propose an architecture for an ontology-based product knowledge and a product web ontology language (POWL) based on OWL. The architecture consists of three-level ontologies; meta-, generic and particular product ontology. The meta-product ontology is derived from previous top-level ontologies such as SUMO, DOLCE and Guarino’s ontology. The generic product ontology is developed to provide comprehensive knowledge primitives representing product knowledge. A particular product ontology specify knowledge about a specific product such as car, telephone, ship, etc., and it is defined based on the generic product ontology. Meanwhile, POWL has product knowledge primitives defined in the generic product ontology, and it can be transformed to OWL. So users can define the specific product knowledge based on POWL. We implement the tranformation logic with XSLT and demonstrate a POWL usage with an example.

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