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

Xiaolei Sun; Yu Zhang; Jing Chen

doi:10.3390/fi11110230

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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Modeling and Mapping Implementation of Substation Knowledge Ontology Based on Protégé

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.198-199.786 ◽

2012 ◽

Vol 198-199 ◽

pp. 786-789

Author(s):

Tie Feng Zhang ◽

Shu Juan Han ◽

Jian Wei Gu

Keyword(s):

Information Sharing ◽

Semantic Information ◽

Information Model ◽

Mapping Method ◽

Basic Knowledge ◽

Web Ontology Language ◽

Ontology Language ◽

Master Station ◽

Knowledge Ontology

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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ENHANCING OWL ONTOLOGIES WITH RELATION SEMANTICS

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194008003660 ◽

2008 ◽

Vol 18 (03) ◽

pp. 327-356 ◽

Cited By ~ 5

Author(s):

CARTIK R. KOTHARI ◽

DAVID J. RUSSOMANNO

Keyword(s):

Semantic Web ◽

Knowledge Representation ◽

Web Ontology Language ◽

Intrinsic Nature ◽

Domain Specific ◽

Ontology Language ◽

High Level ◽

Explicit Relation ◽

Potential Use ◽

The Web

The OWL Enhance prototype has been developed to augment ontologies implemented using the Web Ontology Language (OWL) with richer relation semantics. This prototype interactively elicits knowledge from providers to describe the intrinsic nature of relations and appends these elicited semantics to definitions of relations in OWL ontologies. Benefits from the explicit specification of the intrinsic nature of relations in ontologies include the development of quantitative techniques for the estimation of similarities among relations and attribute exploration techniques to create relation taxonomies. Examples of these techniques have been implemented in modules of the OWL Enhance prototype to demonstrate the utility of explicit relation semantics. Results from testing these modules on high-level and domain-specific ontologies are presented and analyzed with respect to the potential use of relation semantics to increase the fidelity of knowledge representation, as well as the potential for reuse and interoperability of knowledge on the Semantic Web.

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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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