A Visual Ontology Management System for Handling, Integrating and Enriching Semantic Repositories

XML-Schemas and domain ontologies are two key features of the Semantic Web. The possibility of assessing similarity between concepts is becoming a fundamental support in e-commerce and business transactions. In this paper a method for evaluating similarity of XML-Schema elements is proposed, by making use of domain ontologies. The method is inspired by a previous proposal concerning concept similarity within an enterprise ontology management system developed at IASI.

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GOMS: Large‐scale ontology management system using graph databases

ETRI Journal ◽

10.4218/etrij.2021-0261 ◽

2021 ◽

Author(s):

Chun‐Hee Lee ◽

Dong‐oh Kang

Keyword(s):

Management System ◽

Large Scale ◽

Graph Databases ◽

Ontology Management

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Knowledge Mining Wikipedia

International Journal of Knowledge and Systems Science ◽

10.4018/jkss.2011010105 ◽

2011 ◽

Vol 2 (1) ◽

pp. 50-60

Author(s):

Herbert Lee ◽

Keith Chan ◽

Eric Tsui

Keyword(s):

Business Process ◽

Knowledge Economy ◽

Management System ◽

Relevant Information ◽

Knowledge Source ◽

Knowledge Mining ◽

Main Obstacle ◽

Structured Knowledge ◽

Ontology Management

The organization of information in the knowledge economy has become a primary business process in many enterprises. The better information is organized and stored, the easier it can be retrieved, so that the most relevant information will always be available. Ontology is a versatile technology for organizing information; however, the main obstacle that prevents ontology prevailing is the difficulty in its management, that is, the building and maintaining of ontology. To solve this problem, a structured knowledge source is needed. In this paper, a thorough review on the feasibility of using Wikipedia as the source for ontology management is presented. Different approaches that are based on the use of Wikipedia for such purposes are also discussed. Finally, an ontology management system, based on the use of Wikipedia as the knowledge source, is proposed.

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An Evolutive and Multilingual CIM Ontology Management System

Energy Procedia ◽

10.1016/j.egypro.2011.10.005 ◽

2011 ◽

Vol 12 ◽

pp. 18-26 ◽

Cited By ~ 2

Author(s):

Lan Wang ◽

Akira Hosokawa ◽

Hiroshi Murayama

Keyword(s):

Management System ◽

Ontology Management

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Knowledge Mining Wikipedia

Multidisciplinary Studies in Knowledge and Systems Science ◽

10.4018/978-1-4666-3998-0.ch005 ◽

2013 ◽

pp. 52-62

Author(s):

Herbert Lee ◽

Keith Chan ◽

Eric Tsui

Keyword(s):

Business Process ◽

Knowledge Economy ◽

Management System ◽

Relevant Information ◽

Knowledge Source ◽

Knowledge Mining ◽

Main Obstacle ◽

Structured Knowledge ◽

Ontology Management

The organization of information in the knowledge economy has become a primary business process in many enterprises. The better information is organized and stored, the easier it can be retrieved, so that the most relevant information will always be available. Ontology is a versatile technology for organizing information; however, the main obstacle that prevents ontology prevailing is the difficulty in its management, that is, the building and maintaining of ontology. To solve this problem, a structured knowledge source is needed. In this paper, a thorough review on the feasibility of using Wikipedia as the source for ontology management is presented. Different approaches that are based on the use of Wikipedia for such purposes are also discussed. Finally, an ontology management system, based on the use of Wikipedia as the knowledge source, is proposed.

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On Design of Ontology Management Systems

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.2396 ◽

2011 ◽

Vol 403-408 ◽

pp. 2396-2399

Author(s):

Juan Yu ◽

Yan Zhong Dang ◽

Ming Zheng Wang

Keyword(s):

Research And Development ◽

Management System ◽

General Framework ◽

Design Principles ◽

Management Systems ◽

Software System ◽

Basic Design ◽

Programming Interface ◽

Ontology Management

An ontology management system (OMS) is a software system which manages ontologies through their lifecycle. It simplifies ontologies building and applications by providing a mechanism for querying ontologies and an easy-to-use programming interface to ontologies and instances. OMSs are powerful tools to create ontologies and extend their applications and scope. This paper explains the basic design principles of an OMS and designs a general framework of OMSs. It devotes to promoting systematically research and development of OMSs.

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