Development of an Ontology for an Industrial Domain

Novel Approaches in Cognitive Informatics and Natural Intelligence ◽

10.4018/978-1-60566-170-4.ch019 ◽

2011 ◽

pp. 277-291 ◽

Cited By ~ 1

Author(s):

Christine W. Chan

Keyword(s):

Natural Gas ◽

Software Agents ◽

Gas Pipeline ◽

Monitoring And Control ◽

Knowledge Modeling ◽

Ontology Construction ◽

Natural Gas Pipeline ◽

Knowledge Based ◽

Application Ontology ◽

And Control

This chapter presents a method for ontology construction and its application in developing ontology in the domain of natural gas pipeline operations. Both the method as well as the application ontology developed, contribute to the infrastructure of Semantic Web that provides semantic foundation for supporting information processing by autonomous software agents. This chapter presents the processes of knowledge acquisition and ontology construction for developing a knowledge-based decision support system for monitoring and control of natural gas pipeline operations. Knowledge on the problem domain was acquired and analyzed using the Inferential Modeling Technique, then the analyzed knowledge was organized into an application ontology and represented in the Knowledge Modeling System. Since ontology is an explicit specification of a conceptualization that provides a comprehensive foundation specification of knowledge in a domain, it provides semantic clarifications for autonomous software agents that process information on the Internet.

Download Full-text

FROM KNOWLEDGE MODELING TO ONTOLOGY CONSTRUCTION

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194004001816 ◽

2004 ◽

Vol 14 (06) ◽

pp. 603-624 ◽

Cited By ~ 17

Author(s):

CHRISTINE W. CHAN

Keyword(s):

Modeling Technique ◽

Monitoring And Control ◽

Knowledge Modeling ◽

Ontology Construction ◽

Task Knowledge ◽

Knowledge Based ◽

Application Ontology ◽

And Control ◽

Industrial Problem ◽

And Task

This paper presents the Knowledge Modeling System (KMS) and its application. The KMS supports users in formalizing and documenting knowledge elements acquired for development of knowledge-based systems. The system was developed based on a knowledge modeling technique called the Inferential Modeling Technique. It facilitates building an application ontology of a domain by explicitly structuring and formalizing both domain and task knowledge of any industrial problem domain. The system also supports knowledge sharing by converting the ontology into the Extensible Mark-Up Language (XML). The tool is compared against some other existing efforts at ontology construction support. Application of the KMS for constructing an application ontology in the domain of monitoring and control of a petroleum separation process is also presented.

Download Full-text

Design and Implementation of the Airborne Laser Effector for Autonomous Pipeline Alignment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.496-500.1327 ◽

2014 ◽

Vol 496-500 ◽

pp. 1327-1332

Author(s):

Hai Fang Liu ◽

Rui Wang ◽

Shi Sheng Zhong

Keyword(s):

Natural Gas ◽

Control Algorithm ◽

Gas Pipeline ◽

Remote Detection ◽

Long Distance ◽

Natural Gas Pipeline ◽

Modular Software ◽

Airborne Laser ◽

Design Requirements ◽

And Control

Abstract. High-accuracy beam pointing is one of the key problems in the airborne laser remote sensing of natural gas pipeline leak. In response to the domestic demand for the long-distance natural pipeline leak detection, this study proposes an airborne laser effector for autonomous pipeline alignment based on CH4/H2S detector. Mainly structured on 2DOF serial mechanism, the device under discussion is designed with a control system operated on IPC and PMAC, followed by the design of hierarchical modular software. Once completed, the device is placed for indoors pointing experiments as well as simulated airborne test. The results show the effector can conduct full-angle scan of the pod area, achieve a static measuring precision of less than 0.4m as an alignment point is about 100 meters from the laser and detect leakage in dynamic simulated experiment, which meets with the design requirements. In other words, both the design and control algorithm are proved to be feasible. The effector holds an important engineering value for solving the problem of remote detection of the natural gas pipeline leakage.

Download Full-text