Catalogue of Anti-Patterns for formal Ontology debugging

Debugging of inconsistent OWL ontologies is normally a tedious and time-consuming task where a combination of ontology engineers and domain expert is often required to understand whether the changes to be performed in order to make the OWL ontology consistent are actually changing the intended meaning of the original knowledge model. This task is aided by existing ontology debugging systems, incorporated in existing reasoners and ontology engineering tools, which ameliorate this problem but in complex cases are still far from providing adequate support to ontology engineers, due to lack of efficiency or lack of precision in determining the main causes for inconsistencies. In this paper we describe a set of anti-patterns commonly found in OWL ontologies, which can be useful in the task of ontology debugging in combination with those debugging tools

SCRIPTKELL : a tool for measuring cognitive effort and time processing in writing and other complex cognitive activities

We present SCRIPTKELL, a computer-assisted experimental tool that makes it possible to measure the time and cognitive effort allocated to the subprocesses of writing and other cognitive activities, SCRIPTKELL was designed to easily use and modulate Kellogg's (1986) triple-task procedure,.which consists of a combination of three tasks: a writing task (or another task), a reaction time task (auditory signal detection), and a directed retrospection task (after each signal detection during writing). We demonstrate how this tool can be used to address several novel empirical and theoretical issues. In sum, SCRIPTKELL should facilitate the flexible realization of experimental designs and the investigation of critical issues concerning the functional characteristics of complex cognitive activities

Pattern-based OWL Ontology Debugging Guidelines

Debugging inconsistent OWL ontologies is a tedious and time-consuming task where a combination of ontology engineers and domain experts is often required to understand whether the changes to be performed are actually dealing with formalisation errors or changing the intended meaning of the original knowledge model. Debugging services from existing ontology engineering tools and debugging strategies available in the literature aid in this task. However, in complex cases they are still far from providing adequate support to ontology developers, due to their lack of efficiency or precision when explaining the main causes for unsatisfiable classes, together with little support for proposing solutions for them. We claim that it is possible to provide additional support to ontology developers, based on the identification of common antipatterns and a debugging strategy, which can be combined with the use of existing tools in order to make this task more effective

Le Web de données pour faciliter l’exploitation des Bulletins de santé du végétal

This article presents the archive of Plant Health Bulletins that we have published on the web of data. Our archive and its query system are intended a priori for the various actors in the plant sectors and also meet the objectives of agricultural research on crop monitoring. Data Web and Semantic Web technologies provide a solution for publishing structured data on the Web, not in the form of data silos isolated from each other, but by establishing the links that build a global information network. This increases the visibility and reuse of this data.Pour réduire l’usage agricole des pesticides, plusieurs actions ont été mises en œuvre en France, dont la diffusion des Bulletins de santé du végétal. Depuis 2012, plus de trois mille bulletins sont publiés chaque année. Répartis sur différents sites, le contenu et la présentation de ces bulletins ne sont pas uniformes, ce qui rend leur exploitation difficile. En mobilisant le Web de données et les technologies du Web sémantique, les chercheurs d’Irstea ont développé un système d’interrogation qui facilite la recherche et l’extraction d’informations utiles aux acteurs économiques et scientifiques

39 hints to facilitate the use of semantics for data on agriculture and nutrition

In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate the adoption of semantic technologies and methods for the purpose of data interoperability in the field of agriculture and nutrition. From 2016 to 2019, the group gathered researchers and practitioners at the crossing point between information technology and agricultural science, to study all aspects in the life cycle of semantic resources: Conceptualization, edition, sharing, standardization, services, alignment, long term support. First, the working group realized a landscape study, a study of the uses of semantics in agrifood, then collected use cases for the exploitation of semantics resources – a generic term to encompass vocabularies, terminologies, thesauri, ontologies. The resulting requirements were synthesized into 39 “hints” for users and developers of semantic resources, and providers of semantic resource services. We believe adopting these recommendations will engage agrifood sciences in a necessary transition to leverage data production, sharing and reuse and the adoption of the FAIR data principles. The paper includes examples of adoption of those requirements, and a discussion of their contribution to the field of data science

MULTIPASS: gestion des consentements pour accéder aux données des exploitations dans une chaîne de confiance afin de favoriser l'émergence de nouveaux services pour les agriculteurs

12th EFITA International Conference, Rhode island, GRC, 27-/06/2019 - 29/06/2019International audienceWith the emergence of digital technologies, farms become a relevant source of data to meet the challenges of multi-performance agriculture. Beyond the services provided, access to farmers' data depends on a clear understanding of their use, which must be done in a transparent way. Several codes of conduct at a national or international level push for a voluntary commitment to respect some good practices in the use of agricultural data. To provide a tool and answer farmer's questions on the control of their data and the transparency of the data processing, the partners of the MULTIPASS project, have imagined an interoperable ecosystem of farmer consents management, protecting farmers from no consented uses of their data.Farmers' expectations of such an ecosystem have been expressed during workshops. They want to better identify existing data flows, including actors, data processes, and data clusters. Based on the farmers' expectations, the MULTIPASS project stakeholders have proposed the architecture of an ecosystem integrating two consent management tools as "pilots". This ecosystem should take in charge the interoperability between each consent management tools or with future tools. This solution is based on a shared typology of data and data processes as well as on the specifications of the consent message content. All these elements should be easily accessible to meet the interoperability need of the ecosystem. It is also based on a router, which provides unified access to consent management tools (using API). In particular, it provides the farmer (beneficiary) with an exhaustive view of his/her consents (which can be distributed on several consent management systems), meeting farmers' expectations for transparency. It is also the point where a data provider can check whether the consent required to provide data exists, without needing to know which consent management system is concerned. In this project, the stakeholders want to demonstrate to agricultural professional organizations the benefits and feasibility of a consent management ecosystem. By strengthening the confidence of farmers to share data, the project will allow the emergence of new knowledge and new services

Annular aperture arrays: study in the visible region of the electromagnetic spectrum

http://www.opticsinfobase.org/abstract.cfm?URI=ol-30-13-1611Baida and Van Labeke recently proposed a structure that exhibits a supertransmission of light through an array of nanometric coaxial apertures in a metallic film that has been named an annular aperture array (AAA) [Opt. Commun.209, 17 (2002); Phys. Rev. B67, 155314 (2003); J. Microsc.213, 140 (2003)]. We present the first experimental study, to our knowledge, of an AAA structure in the visible region. For technological reasons, the structure under study does not produce a supertransmission of 80% as in Baida and Van Labeke [Opt. Commun.209, 17 (2002)]. We built the nanostructure and experimentally recorded its far-field spectral response. This transmission shows only one broad band with a maximum around lambda=700 nm, giving a maximum efficiency around 17%. A finite-difference time-domain simulation reproduces quite well the obtained transmission spectrum