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In this paper, we propose a novel approach to the problem of integrating code forges based on metadata (e.g., programming language, database, intended audience, operating system), similar software projects and software developers. We review the current problems in integrating metadata of different code forges and argue that Semantic Web technologies are suitable for representing and integrating knowledge...
In a globalised world the process industry faces great challenges regarding data management. Rising demands for agility and rapid shortening of innovation cycles have lead to project-based collaborations. Highly specialised small and medium enterprises are forming so-called virtual companies to profit from each other. Today, however, industrial data structures are characterised by high heterogeneity...
The development of sensor technologies in the last years offers support for new applications for the Internet of Things. The availability of the data resulting from sensor networks deployed in different environments is important for a number of advanced services, such as traffic flow prediction and power consumption monitoring. We propose a system for publishing sensor data following the linked data...
This research aims to explore the integration possibilities of forms and techniques taken from Linked data and semantic web initiatives in the context of vertical applications, such as shared catalog systems. A theoretical model based on the combination of data detectors, learning by examples applications (LBE) and thematic knowledge databases is proposed as a valid methodology to explore in order...
The eCultura project aims to provide a complete set of services and applications to access and integrate diverse web-based contents of the cultural domain. Semantic web technologies have enabled sharing information such services, as well as providing interoperability within external applications. The goal is to extend over the web the knowledge base of cultural institutions, building user communities...
This paper proposes a new method to cluster law texts based on referential relation of laws. We extract law entities (an entity represents a law) and their referential relation from law texts. Then SimRank algorithm is applied to calculate law entity's similarity through referential relation and law clustering is carried out based on the SimRank similarity. This is the first time to apply SimRank...
Integration of data from multiple sources makes it possible to build effective systems management solutions. Despite the expected benefits, data integration remains a challenge. Heterogeneity between data sources in terms of lack of an accepted common model, data semantics and access methods are among the difficulties. The goal of our research is to realize loosely coupled integration of data for...
Linked Data is an open data space that emerges from the publication and interlinking of structured data on the Web using the Semantic Web technologies. How to utilize this wealth of data is currently a focused research theme of the Semantic Web community. In this paper, we aim to utilize Linked Data to generate semantic annotations for frequent patterns extracted from textual documents. First, we...
This article describes how semantic Web technologies can be used to interlink musical data sources that have traditionally been isolated and difficult to integrate.
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