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Modern warfare is mainly based on the joint operation of multiple armies, but there exists the phenomenon of information chimney in different armed services and it can hardly realize the information sharing in the existed command and control system. In this paper, a new method of battlefield target information sharing based on ontology is proposed. Firstly, the target detection information databases...
A number of South African municipalities have embraced the use of advanced information technology to improve their services to citizens. However, this is not a common practice across the country; there are still municipalities within South Africa who have not automated their information systems for better service delivery to the public. This study develops a data model that can be applied by municipalities...
The Semantic Web has been recognized as the next generation web which aims at the automation, integration and reuse of data across different web applications. To realize the Semantic Web, the W3C has adopted standards and tools such as the Resource Description Framework (RDF) and Web Ontology Language (OWL). With the development of the Semantic Web, OWL ontology became a W3C recommended mechanism...
Data integration of heterogeneous sources is still an active research problem. This topic is especially crucial on enterprises that deal with new and different kinds of data as new services are provided. However, even though research efforts have been applied to the information integration, there is a lack of practical approaches ready to be implemented for real use cases. In this paper, we present...
Topic Maps are a Semantic Web technology for semantic annotation of resources to enhance the quality of search output. Manual development of topic maps is a difficult and time consuming task. Furthermore, there are many relational databases with valuable data that semantic search methods cannot use them. To solve this problem, this paper proposed a novel automatic approach to generate topic map from...
One of key issues of the Semantic Web applications is the lack of semantic data (ontologies). Although the vast majority of data are stored in the popular relational databases, they are still not easily available for many next generation Web applications. Therefore, one of core challenges of Semantic Web is whether these applications can automatically retrieve semantic information from the existed...
This paper points towards the integration rules of mapping from relational database such as SQL DDL, schema and data into the semantic web ontology such as OWL which build on top of RDF using vocabulary RDFS and XML schema data type. From the study, different cases are considered: such as tables, relationships, composite-column, single or multiple primary key, foreign key, constraints, check between,...
Semantic metadata are not yet fully integrated in most learning metadata profiles. Moreover, when it is supported it is only used to improve the quality of results returned by search engines in LOR (learning object repositories) and LMS (Learning Management Systems). Within the framework of APOGE project, we want to demonstrate the usability of semantic metadata, when they are provided, during the...
With the growth of the semantic Web, it is necessary to provide huge amounts of data in a form and language that may be machine processable. However, large amounts of data in legacy systems are stored in relational databases. This paper proposes an approach of translating relational databases in form of the resource description framework, which is a machine processable language used to describe various...
Large amounts of data in legacy system are stored in relational databases, and therefore there are requirements of exposing relational databases into RDF for the Semantic Web. RDF view based approach for accessing to relational databases is proposed in this paper, which provides SPARQL query services for relational databases. The SPARQL query over RDF view is rewritten into an equivalent SQL query...
The emergence of the Semantic Web brings new paradigm shift of computing in data integration research where data is heterogeneous and distributed. Ontology-based heterogeneous relational data integration has recently attracted many diverse contributions, since most of the information is still stored in relational databases. This paper focuses on the query transformation problem in such an integration...
Success of the Semantic Web depends on mass creation of computer understandable data. Ontology plays more and more important role in creating such semantic data on the Semantic Web. Now there are tools used to generate ontology from legacy database, but it is to some extent difficult for domain expert to understand the meaning between these tools, such as unclear generation approaches, un-unified...
With increasing student mobility and boom of the international student exchange programmes, a need arises for unifying and presenting information about academic study programmes on the Web. Publishing study programmes using semantic web technologies enables students to easily search and select study topic of their interest. In this paper, we discuss the way to transform data from production-grade...
In this paper, a conceptual architecture with Semantic Web technologies and Web Service is introduced for the e-commerce applications. Semantic web technologies are used to provide more machine understandable data and effective services finding and dynamic composing. With this architecture, e-commerce applications with semantic-services will be more effective and useable for future.
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