As the number of medical web sites in various languages increases, it is more than necessary to implement control measures that give the consumers adequate guarantee that the health web sites they are visiting, meet a minimum level of quality standards and that the professionals offering the information on the web site are responsible for its contents. The paper presents the current mechanisms for labelling medical web content and introduces the work done in the EC-funded projects Quatro and MedIEQ. Quatro has defined a vocabulary for quality labels and a schema to deliver them in a machine-processable format. MedIEQ aims to support the work of medical quality labelling organisations providing tools to monitor already labelled medical sites as well as to locate unlabelled sites and examine them against a set of pre-defined labelling criteria.
Abstract.The movement to share data has been on the rise in the last decade and lately in the agricultural domain. Similarly platforms for publishing scientific and statistical datasets have sprouted and have improved visibility and availability of datasets. Yet there are still constraints in making datasets discoverable and reusable. Commonly agreed semantics, authority lists to index datasets and standard formats and protocols to expose data are now essential. This paper explains how the CIARD RING provides a global linked data catalog of datasets for agriculture. The first part of this paper will describe the Linked Data layer of the CIARD RING focusing on the data model, semantics used and the CIARD RING LOD publication. The second part will provide examples of re-use of data from the RING. The paper concludes by describing the future steps in the development of the CIARD RING.
Abstract:The POWDER protocol is a Semantic Web technology that takes advantage of natural groupings of URIs in order to annotate all the resources in a regular expressiondelineated sub-space of the URI space. POWDER is a mechanism for accreditation, trustmarking, and resource discovery, emphasising the publishing of attributed metadata by third parties and trusted authorities. Demonstrating its versatility, it has also been deployed in unforeseen use cases, such as repository compression. In this paper we present the POWDER protocol, explain its position in the Semantic Web architecture, expose and discuss current implementations and use cases, and future directions.
A discussion of mathematical modelling of water quality, including a summary of the parameters considered, a comparison of the two major model types (stochastic and deterministic) and a review of the validation process, is presented . A water quality model currently being developed is discussed and a list of ecological models already developed is given .
In this article, selected new directions in knowledge-based artificial intelligence (AI) and machine learning (ML) are presented: ontology development methodologies and tools, automated engineering of WordNets, innovations in semantic search, and automated machine learning (AutoML). Knowledge-based AI and ML complement each other ideally, as their strengths compensate for the weaknesses of the other discipline. This is demonstrated via selected corporate use cases: anomaly detection, efficient modeling of supply networks, circular economy, and semantic enrichment of technical information.
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