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

2015 ◽  
Author(s):  
Daniele Toti ◽  
Andrea Longhi
Keyword(s):  
Management System ◽  
Ontology Management

Advanced ontology management system for personalised e-Learning

2009 ◽  
Vol 22 (4) ◽  
pp. 292-301 ◽  
Author(s):  
M. Gaeta ◽  
F. Orciuoli ◽  
P. Ritrovato
Keyword(s):  
Management System ◽  
E Learning ◽  
Ontology Management

SIMILARITY OF XML-SCHEMA ELEMENTS SUPPORTED BY DOMAIN ONTOLOGIES

2005 ◽  
Vol 15 (01) ◽  
pp. 117-130 ◽  
Author(s):  
ANNA FORMICA
Keyword(s):  
Semantic Web ◽  
Management System ◽  
Xml Schema ◽  
Business Transactions ◽  
Previous Proposal ◽  
Key Features ◽  
Domain Ontologies ◽  
Enterprise Ontology ◽  
Concept Similarity ◽  
Ontology Management

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.

Knowledge Mining Wikipedia

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.

scholarly journals An Evolutive and Multilingual CIM Ontology Management System

2011 ◽  
Vol 12 ◽  
pp. 18-26 ◽  
Author(s):  
Lan Wang ◽  
Akira Hosokawa ◽  
Hiroshi Murayama
Keyword(s):  
Management System ◽  
Ontology Management

Knowledge Mining Wikipedia

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.

On Design of Ontology Management Systems

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.

A Framework for End-to-End Ontology Management System

2015 ◽  
pp. 529-544 ◽  
Author(s):  
Anusha Indika Walisadeera ◽  
Athula Ginige ◽  
Gihan Nilendra Wikramanayake ◽  
A. L. Pamuditha Madushanka ◽  
A. A. Shanika Udeshini
Keyword(s):  
Management System ◽  
End To End ◽  
Ontology Management

scholarly journals Ontology Management for Large-Scale Enterprise Systems

2006 ◽  
pp. 91-114 ◽  
Author(s):  
Juhnyoung Lee ◽  
Richard Goodwin ◽  
Rama Akkiraju
Keyword(s):  
Information Integration ◽  
Management System ◽  
Large Scale ◽  
Enterprise Systems ◽  
Query Languages ◽  
Database Management System ◽  
Enterprise Applications ◽  
Description Framework ◽  
And Performance ◽  
Ontology Management

Semantic markup languages such as RDF (Resource Description Framework) (RDF, 1999) and OWL (Web Ontology Language) (OWL, 2004) are increasingly being used to externalize metadata or ontologies about data, software and services in a declarative form. Such externalized descriptions in ontological format are used for purposes ranging from search and retrieval to information integration and to service composition (RDF Projects, 2004; OWL Tools, 2004). Ontologies could significantly reduce the costs of deploying, integrating, and maintaining enterprise systems. The barrier to more widespread use of ontologies for such applications is the lack of support in the currently available middleware stacks used in enterprise computing. This chapter presents our work on developing an enterprise-scale ontology management system that will provide APIs and query languages, and scalability and performance that enterprise applications demand. We describe the design and implementation of the management system that programmatically supports the ontology needs of enterprise applications in a similar way to a database management system supporting the data needs of applications. In addition, we present a novel approach to representing ontologies in relational database tables to address the scalability and performance issues. The state of the art ontology management systems are either memory-based or use ad-hoc solutions for persisting data, and so provide limited scalability.

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