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This paper describes an RDF data model for repositories concerned with managing various aspects of the life cycle of research outputs, such as articles, data sets or learning objects. Using the figshare application as a use-case and starting from its relational model, it proposes a new mechanism for storing, enhancing and disseminating metadata, using workflows specific to the linked data ecosystem,...
In recent years, the Linked Open Data (LOD) have been attracting attention in the world as the technology that can construct the semantic Web. The LOD are created based on the Resource Description Framework (RDF), and can link each of resources considering semantic relations. However, there are problems that the LOD do not have enough links between resources, and the LOD need a lot of time for creation...
Current Web-based Services are highly heterogeneous not only on data but also with regard to service interaction. Despite their heterogeneity, composition of these services is required in order to achieve additional functionality. Semantic descriptions and composition algorithms for heterogeneous services have been recently proposed. However, existing techniques do not take the Publish/Subscribe paradigm...
While the potential benefits of the Friend of a Friend (FOAF) vocabulary within the context of facilitating Social Networking Site (SNS) user profile portability have been broadly discussed, the potential benefits for users with visual impairments have been overlooked. Previous studies have identified SNSs categorically as presenting a number of unique usability challenges for users with visual impairments,...
At present, more and more government departments and organizations choose to open their own data to the outside world. Open data can expand the scope of data sharing and improve the use efficiency of digital resources. However, most of the open data presents massive, decentralized and heterogeneous characteristics that greatly limit the use of open data. Also, semantic interoperability between data...
The richness of legacy metadata describing items in library special collections can be an asset when these collections are digitized. Transforming legacy metadata into formats that are Linked Open Data (LOD) friendly, maximizes metadata value and better integrates digital library collections into the emerging Semantic Web. This poster details experience with mapping Dublin-Core-based metadata into...
OLAP analytical systems are essential technologies in decision-making processes; they provide an efficient way to carry out complex analysis in a simpler and faster way to decision-makers. In today's dynamic and competitive business contexts, the stored internal data within companies does no longer provide enough information for decision-making processes. Therefore, decision analysis systems could...
This paper proposes a strategy to produce and consume linked open data (LOD) from OAI-PMH compliant repositories. The strategy represents an alternative to support management and reuse of machine-readable knowledge, which can be exploited by means of semantic web services. The paper's main contribution includes a characterization of tools used to produce LOD, the specification of semantic web services...
Day by day, the amount of digital data grows exponentially. Furthermore, these data come from heterogeneous content and structure resources. Both factors are the major handicap that limits the correct functioning of information systems. Being on the same wavelength, researchers have fixed as a challenge to reach targeted information retrieval which allows an easy access to the desired resource then...
Globalization and cloud computing have allowed major strides forward in terms of communication possibilities, but it is also illuminating how many different resource options and formats exist access to which would dramatically increase the accuracy and reliability of choices made as a result of computational output. As a result, there is increasing need for methods resolving levels of data translations...
In this paper the Common Information Model (CIM) modeling approach is analyzed from the Linked Data perspective. Due to the Resource Description Framework Schema extensions and constraints introduced by CIM in the IEC standards, the authors propose the enhancements that add Linked Data capability allowing the application of standard based reasoning tools on CIM documents. The paper contains the new...
Industry 4.0 is a global endeavor of automation and data exchange to create smart factories maximizing production capabilities and allowing for new business models. The Reference Architecture Model for Industry 4.0 (RAMI 4.0) describes the core aspects of Industry 4.0 and defines Administration Shells as digital representations of Industry 4.0 components. In this paper, we present an approach to model...
Public institutions are increasing their efforts to offer significant amounts of data as open data. Semantic Web technologies provide a framework for publishing and consuming open data, which can be exploited by data mining techniques to unravel new insights of developing phenomena. In particular, strategic analysts can use available linked open data (LOD) technologies and resources, aimed at the...
This paper proposes a semantic-based approach to naming and retrieval of content in Information-centric Networking (ICN). The approach stems from the need to realize the idea, originally conceived with ICN principles, of communication based on content exchange. In particular, the paper shows how, by adopting a vocabulary in Resource Description Framework for content description, it is possible to...
Scientific production reflects the advances of an academic or research activity; also, it reflects the efforts and issues in which people are engage. The researcher's contributions in each field of knowledge should be highlight in order to foster a systematic improvement of research and achieve recognition of researchers. In the current educational context, the role of creating knowledge is not exclusive...
As the Web changes, so too must the ways people and other agents interact with it, assert their identities, and authenticate the identities of potential collaborators. WebID solves the challenge of remembering user names and passwords, but a full realization of it will require the ability to manage groups of agents and control their access to resources on the Web. This paper explores the challenges...
Ontology matching is an important part of enabling the semantic web to reach its full potential. Most existing ontology matching methods are mainly based on linguistic information (label, name, title and comment) but from the results achieved it is realized that this information is not sufficient. The latest ontology matching research works are trying to deeply dig into the structural information...
Large online libraries are now common across the Web. However these libraries are usually fragmented and are not semantically connected thereby making their search and access difficult. Also there are no large bibliographic Linked Open Datasets available for use in research and analytics. This paper shows how to create a large, comprehensive, RDF triple store of semantic data about books. The primary...
The increasing variety of Linked Data on the Web makes it challenging to determine the quality of this data, and subsequently to make this information explicit to data consumers. Despite the availability of a number of tools and frameworks to assess Linked Data Quality, the output of such tools is not suitable for machine consumption, and thus consumers can hardly compare and rank datasets in the...
For research institutes, data libraries, and data archives, RDF data validation according to predefined constraints is a much sought-after feature, particularly as this is taken for granted in the XML world. Based on our work in the DCMI RDF Application Profiles Task Group and in cooperation with the W3C Data Shapes Working Group, we identified and published by today 81 types of constraints that are...
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