Mapping of the Music Ontology to the Media Value Chain Ontology and the PROV Ontology

Mapping of the Music Ontology to the Media Value Chain Ontology and the PROV Ontolog

Rights declaration in Linked Data

Linked Data is not always published with a license. Sometimes a wrong license type is used, like a license for software, or it is not expressed in a standard, machine readable manner. Yet, Linked Data resources may be subject to intellectual property and database laws, may contain personal data subject to privacy restrictions or may even contain important trade secrets. The proper declaration of which rights are held, waived or licensed is a must for the lawful use of Linked Data at its different granularity levels, from the simple RDF statement to a dataset or a mapping. After comparing the current practice with the actual needs, six research questions are posed

Análisis de sentiminetos de un corpus de redes sociales.

El análisis de sentimientos de textos en las redes sociales se ha convertido en un área de investigación cada vez más relevante debido a la influencia que las opiniones expresadas tienen en potenciales usuarios. De acuerdo con una clasificación conceptual de sentimientos y basándonos en un corpus de diversos dominios comerciales, hemos trabajado en la confección de reglas que permitan la clasificación de dichos textos según el sentimiento expresado con respecto a una marca, empresa o producto. Con la ayuda de una base de datos de colocaciones (Badele3000) y un gestor de corpus (Calíope) se han creado 200 reglas en español que han puesto de manifiesto algunas consideraciones a tener en cuenta en la siguiente fase del trabajo

Assigning Creative Commons Licenses to Research Metadata: Issues and Cases

This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. We discuss how the lack of transparency hinders discovery of research data and make it disconnected from the publication and other trusted research outcomes. In addition, we discuss the application of Creative Commons licenses for research metadata, and provide some examples of the applicability of this approach to internationally known data infrastructures.Comment: 9 pages. Submitted to the 29th International Conference on Legal Knowledge and Information Systems (JURIX 2016), Nice (France) 14-16 December 201

Guidelines for Linked Data generation and publication: an example in building energy consumption

Linked Data is the key paradigm of the Semantic Web, a new generation of the World Wide Web that promises to bring meaning (semantics) to data. A large number of both public and private organizations have published their data following the Linked Data principles, or have done so with data from other organizations. To this extent, since the generation and publication of Linked Data are intensive engineering processes that require high attention in order to achieve high quality, and since experience has shown that existing general guidelines are not always sufficient to be applied to every domain, this paper presents a set of guidelines for generating and publishing Linked Data in the context of energy consumption in buildings (one aspect of Building Information Models). These guidelines offer a comprehensive description of the tasks to perform, including a list of steps, tools that help in achieving the task, various alternatives for performing the task, and best practices and recommendations. Furthermore, this paper presents a complete example on the generation and publication of Linked Data about energy consumption in buildings, following the presented guidelines, in which the energy consumption data of council sites (e.g., buildings and lights) belonging to the Leeds City Council jurisdiction have been generated and published as Linked Data

Complaint Ontology Pattern - COP

In this paper we present an ontology design pattern to conceptualize complaints - an important domain still uncovered by ODPs. The proposed Complaint Ontology Pattern (COP) has been designed based on the analysis of free text complaints from available complaint datasets (banking, air transport, automobile) among other knowledge sources. We present a detailed use case from consumer disputes. We evaluate the pattern by annotating the complaints from our use case and by discussing how COP aligns to existing ontologies

MPEG-M: A Digital Media Ecosystem for Interoperable Applications

MPEG-M is a suite of ISO/IEC standards (ISO/IEC 23006) that has been developed under the auspices of Moving Picture Experts Group (MPEG). MPEG-M, also known as Multimedia Service Platform Technologies (MSPT), facilitates a collection of multimedia middleware APIs and elementary services as well as service aggregation so that service providers can offer users a plethora of innovative services by extending current IPTV technology toward the seamless integration of personal content creation and distribution, e-commerce, social networks and Internet distribution of digital media

Semantics for implementing data reuse and altruism under EU’s Data Governance Act

Purpose: Following the impact of the GDPR on the regu- lation of the use of personal data of European citizens, the European Commission is now focused on implementing a common data strategy to promote the (re)use and sharing of data between citizens, companies and governments while maintaining it under the control of the entities that generated it. In this context, the Data Governance Act (DGA) em- phasizes the altruistic reuse of data and the emergence of data inter- mediaries as trusted entities that do not have an interest in analysing the data itself and act only as enablers of the sharing of data between data holders and data users. Methodology: In order to address DGA’s new requirements, this work investigates how to apply existing Semantic Web vocabularies to (1) generate machine-readable policies for the reuse of public data, (2) specify data altruism consent terms and (3) create uniform registers of data altruism organisations and intermediation ser- vices’ providers. Findings: In addition to promoting machine-readability and interoperability, the use of the identified semantic vocabularies eases the modelling of data-sharing policies and consent forms across differ- ent use cases and provides a common semantic model to keep a pub- lic register of data intermediaries and altruism organisations, as well as records of their activities. Since these vocabularies are openly accessible and easily extendable, the modelling of new terms that cater to DGA- specific requirements is also facilitated. Value: The main results are an ad-hoc vocabulary with the new terms and examples of usage, which are available at https: // w3id. org/ dgaterms . In future research, this work can be used to automate the generation of documentation for the new DGA data-sharing entities and be extended to deal with require- ments from other data-related regulations