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In the Linked Data context, identity link is one of the most important semantic links that can be established between the datasets. It specifies that different identifiers refer to the same real world object and therefore must be linked. The process of detecting these identical instances across different data repositories is referred as instance matching. This is used to connect existing data sources...
Thesauri are knowledge systems which may ease Big Data access, fostering their integration and re-use. Currently several Linked Data thesauri covering multi-disciplines are available. They provide a semantic foundation to effectively support cross-organization and cross-disciplinary management and usage of Big Data. Thesauri effectiveness is affected by their quality. Diverse quality measures are...
In order to be considered as Linked Data, the datasets on the web must be linked to other datasets. Current studies on dataset interlinking prediction researches do not distinguish the type of links, which are of less help for real application scenarios, as dataset publishers still do not know what kinds of RDF links can be established and furthermore how to configure the data linking algorithms....
In recent years the web has evolved from a global information space of linked documents to one where both documents and data are linked. What supports this evolution is a set of best practices in publishing and connecting structured data on the web that is called linked data. The usefulness of linked data relies on how much related concepts are linked together. The aim of this research is to propose...
Web APIs provide interfaces for interaction among systems based on the existing infrastructure for hosting Web sites and applications. The REST architectural style is the most employed approach for building Web APIs. However, the flexibility provided by REST may result in implementations with low quality design, limited reuse and poor documentation. This paper describes a maturity model for classifying...
Cloud businesses need comprehensive visibility on hardware and software components, their utilization and their configuration. In addition, they need to integrate such information with their asset management systems and publicly available information such as hardware specifications. In this paper, we present an approach for cloud management and monitoring based on a semantic layer that unifies different...
In order to cater for a growing user base that requires varied functionalities and owns multiple devices, software providers are using cloud solutions as the preferred technical means. In fact, all major operating systems come with a tight integration to cloud services. Software solutions that have such integration with cloud services should disclose (transparency) this to the consumer. Furthermore,...
In this paper we address the problem of predicting SPARQL query performance. We use machine learning techniques to learn SPARQL query performance from previously executed queries. Traditional approaches for estimating SPARQL query cost are based on statistics about the underlying data. However, in many use-cases involving querying Linked Data, statistics about the underlying data are often missing...
We describe and validate a method for comparing programming languages or technologies or programming styles in the context of implementing certain programming tasks. To this end, we analyze a number of ‘little software systems’ readily implementing a common feature set. We analyze source code, structured documentation, derived metadata, and other computed data. More specifically, we compare these...
Service composition can be considered as a Linked Data model due to the way that each one of the services that make up the composition is structured. For doing this, a service composer is required in order to evaluate the input and output data of various web-distributed services for linking them. These links can be analyzed from a quality perspective in which a service may fail when it does not fulfill...
Citation recommendation systems can help a researcher find works that are relevant to his field of interest. Currently, most approaches in citation recommendation are based on a closed-world view which is limited to using a single data source for recommendation. Such a limitation decreases quality of the recommendations since no single data source contains all required information about different...
Statistical data is one of the most important sources of information, relevant for large numbers of stakeholders in the governmental, scientific and business domains alike. In this article, we overview how statistical data can be managed on the Web. With OLAP2 Data Cube and CSV2 Data Cube we present two complementary approaches on how to extract and publish statistical data. We also discuss the linking,...
From the birth of the world a large number people have been suffering fatal life killing disease AIDS for various reason. Actually the problem belongs to the people by the people due to the lack of awareness. One the major problem for HIV victims is that it kills their life span by time being unfortunately. In this research, we focus on linked data of semantic web and to achieve the knowledgebase...
In parallel to the effort of creating Open Linked Data for the World Wide Web there is a number of projects aimed for developing the same technologies but in the context of their usage in closed environments such as private enterprises. In the paper, we present results of research on interlinking structured data for use in Idea Management Systems - a still rare breed of knowledge management systems...
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