Data-driven Schema Matching in Agricultural Learning Object Repositories

As the wealth of structured repositories of educational content for agricultural object is increasing, the problem of heterogeneity between them on a semantic level is becoming more prominent. Ontology matching is a technique that helps to identify the correspondences on the description schemas of different sources and provide the basis for interesting applications that exploit the information in a linked fashion. The present paper presents a data-driven approach for discovering matches between different classification schemas. The approach is based on content analysis and linguistic processing in order to extract information in the form of relation tuples, use the extracted information to associate the content of different repositories and match their underlying classification schemas based on the degree of content similarity. The preliminary results verified the validity of the approach and exposed the need for refinements on the linguistic processing of the available textual information and on the definition of relation similarity.

Contributed by Antonis Koukourikos, Giannis Stoitsis, Pythagoras Karampiperis

You can view/ download the submitted paper from HERE.

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The CEREALAB Database : Ongoing research and future challenges

The objective of the CEREALAB database is to help the breeders in choosing molecular markers associated to the most important traits. Phenotypic and genotypic data obtained from the integration of open source databases with the data obtained by the CEREALAB project are made available to the users. The first version of the CEREALAB database has been extensively used within the frame of the CEREALAB project. This paper presents the main achievements and the ongoing research related to the CEREALAB database. First, as a result of the extensive use of the CEREALAB database, several extensions and improvements to the web application user interface were introduced. Second, always derived from end-user needs, the notion of provenance was introduced and partially implemented in the context of the CEREALAB database. Third, we describe some preliminary ideas to annotate the CEREALAB database and to publish it in the Linking Open Data network.

Contributed by Domenico Beneventano, Sonia Bergamaschi, Abdul Rahman Dannaoui, Justyna Milc, Nicola Pecchioni, Serena Sorrentino

You can view/ download the submitted paper from HERE.

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Revisiting an analysis of agricultural learning repository metadata: preliminary results

Agricultural learning repositories can provide new opportunities for sharing, searching, accessing and using learning resources. In order to facilitate the exchange of information between such repositories, the issue of metadata interoperability is crucial. In this paper, we present preliminary results of a revised analysis aiming at the review of implementations of metadata standards in agricultural learning repositories. The results of this study can be beneficial to the achievement of interoperability across agricultural learning repositories and useful for designers and developers in this application field.

Contributed by Nikos Manolis, Kostas Kastrantas, Nikos Manouselis

You can view/ download the submitted paper from HERE.

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The Use of Metadata in the Description of e-Learning Content for Organic Agriculture

Currently there is a number of EU-funded projects that include the development of an agriculture-related training curriculum as one of their core activities, as well as an additional number of such projects that have already developed related content collections. However, in most cases, this content is not easily available through any mean of access, such as a portal, a course  management platform or a website. This paper presents the development of the Organic.Balkanet training curriculum, describing the use of metadata for the annotation of the training material through the use of a course management platform. It also provides an overview on the issues that were met during the metadata annotation process, including the manual translation of these metadata in the languages of the project.

Contributed by Maria Toader, Gheorghe Valentin Roman, Vassilis Protonotarios

You can view/ download the submitted paper from HERE.

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This blog will provide the space and structure for conducting the VOA3R “Controlled Experiment for Reviewing Lifecycle Services” during the MTSR 2012 Special Track on Metadata and Semantics for Agriculture, Food and Environment.