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Multiple ontology workspace management and performance assessment

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationIEEE 13th International Conference on Industrial Informatics (INDIN), 2015
Number of pages6
Publication statusPublished - 1 Jul 2015
Publication typeA4 Article in a conference publication
EventIEEE International Conference on Industrial Informatics -
Duration: 1 Jan 1900 → …


ConferenceIEEE International Conference on Industrial Informatics
Period1/01/00 → …


This paper describes the development of a multiple ontology workspace management system and its performance assessment. This management system provides users with their own ontology workspace as a repository. It aims to facilitate the storage and manipulation of ontology models for knowledge driven manufacturing execution systems. The system uses Jena TDB API to maintain the file system on the server and utilizes Spring framework to provide RESTful Web services to expose functionalities to the users such as user account creation, ontology model upload and SPARQL query services. Besides the Web interface for the interaction between the user and the system, the system also provides Web service endpoints that are compatible with other query engines based on Graph Store HTTP Protocol defined in standard SPARQL 1.1. User authentication is also introduced in the system in order to keep the privacy and integrity of the user data. In the end the performance is tested to evaluate its usability. The developed system offers adequate performance for a large number of users and enables the users to store and retrieve information of ontology anywhere as long as internet is available. As the result, it improves the availability of ontology as an important role in knowledge representation, knowledge acquisition and knowledge driven manufacturing systems.


  • Web services, hypermedia, knowledge acquisition, manufacturing systems, ontologies (artificial intelligence), query processing, Graph Store HTTP Protocol, Jena TDB API, RESTful Web services, SPARQL query services, Spring framework, Web interface, file system, information retrieval, information storage, knowledge driven manufacturing execution systems, knowledge representation, multiple ontology workspace management, ontology model manipulation, ontology model storage, ontology model upload, ontology workspace, performance assessment, query engines, standard SPARQL 1.1. user authentication, usability evaluation, user account creation, user data integrity, user data privacy, user-system interaction, Authorization, Databases, Ontologies, Resource description framework, Servers, Time factors, Triples (Data structure), knowledge driven manufacturing systems, ontology model management, ontology service performance, ontology user authorization

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