Formalizing enrichment mechanisms for bibliographic ontologies in the Semantic Web

This paper presents an analysis of current limitations to the reuse of bibliographic data in the Semantic Web and a research proposal towards solutions to overcome them. The limitations identified derive from the insufficient convergence between existing bibliographic ontologies and the principles and techniques of linked open data (LOD); lack of a common conceptual framework for a diversity of standards often used together; reduced use of links to external vocabularies and absence of Semantic Web mechanisms to formalize relationships between vocabularies, as well as limitations of Semantic Web languages for the requirements of bibliographic data interoperability. A proposal is advanced to investigate the hypothesis of creating a reference model and specifying a superontology to overcome the misalignments found, as well as the use of SHACL (Shapes Constraint Language) to solve current limitations of RDF languages.info:eu-repo/semantics/acceptedVersio

Information Continuity: A Temporal Approach to Assessing Metadata and Organizational Quality in an Institutional Repository

This paper was presented at the 8th annual Metadata and Semantics Research Conference held in Karlsruhe, Germany, November 27-29, 2014.Repositories provide a vital infrastructure for an institution to aggregate and disseminate creative output, yet this task is only as successful as the effective organization of its content. The University of Kansas is currently undergoing a systematic review to analyze metadata and content organization in its own repository. This paper argues that for a full assessment to be achieved it is necessary to not view the repository as a fixed item, but as an entity with its own continuity. This temporal approach has a significant impact on establishing resource provenance for metadata policy adjustments, disciplinary migration, and resource extensibility. For any repository it is essential for ensuring long-term viability

Development of a simple growth model for light control in tomato seedling production

Models are necessary for application of automatic control on any process in greenhouses. Despite the existence of several tomato crop growth models, no models are available for tomato seedlings. In the present paper, a simple empirical model was tested for the prediction of growth and development of tomato seedlings. Dry matter production, shoot length and leaf area were simulated as a function of incoming solar radiation, under different temperature regimes. In order to evaluate the model, experiments were conducted under various temperature and solar irradiance regimes. The experiments were carried out at the experimental farm of the University of Thessaly near Volos (Velestino, Thessaly), situated on the continental area of Eastern Greece, during three periods (winter, spring and late spring). Three light intensity levels were tested in each experimental period, namely: control level (natural light level), 20% higher than the control light level (using HPS lamps) and 15% lower than the control light level (using a shading net). The calibration of the model gave satisfactory results and revealed that it could be used for prediction of seedling dry matter production, shoot length and leaf area, as a function of light intensity. The calibrated model can be used for optimal greenhouse climate control and crop growth optimisation through greenhouse microclimate management by designing and implementing a robust controller