EDI is a general purpose, template-driven metadata editor for creating XML-based descriptions. Originally aimed at defining rich and standard metadata for geospatial resources, It can be easily customised in order to comply with a broad range of schemata and domains. EDI creates HTML5 [9] metadata forms with advanced assisted editing capabilities and compiles them into XML files. The examples included in the distribution implement profiles of the ISO 19139 standard for geographic information [14], such as core INSPIRE metadata [10], as well as the OGC [8] standard for sensor description, SensorML [11]. Templates (the blueprints for a specific metadata format) drive form behaviour by element data types and provide advanced features like codelists1 underlying combo boxes or autocompletion functionalities. Virtually, the editing of any metadata format can be supported by creating a specific template. EDI is stored on GitHub at https://github.com/SP7-Ritmare/EDI-NG_client and https://github.com/SP7-Ritmare/EDI-NG_server

Organizations are showing growing interest in paradigms where business models and services compatibility is adaptively tested, e.g. by applying automatic systems to check business rules consistency. In this paper, we build on the original proposal by OMG of using first-order logics for representing business vocabularies and propose an approach based on description logics (DL) as formal logic support for business rules. By translating SBVR business vocabularies and rules into OWL DL ontologies, standard inference procedures of DL can be applied to check the business model consistency in the open-world, which is the default interpretation of SBVR models. Moreover, SBVR facts that cannot be expressed with OWL DL are translated into SWRL rules so that they can then be integrated with the starting ontology and evaluated, albeit within the boundaries of the closed-world made of known facts. We exemplify this process by translating a fragment of the EU-Rent example, drawn from the SBVR specification, into a OWL+SWRL knowledge base.

The adoption of Sensor Web Enablement (SWE) practices by sensor maintainers is hampered by the inherent complexity of the Sensor Model Language (SensorML), its high expressiveness, and the scarce availability of editing tools. To overcome these issues, the Earth Observation (EO) community often recurs to SensorML profiles narrowing the range of admitted metadata structures and value ranges. Unfortunately, profiles frequently fall short of providing usable editing tools and comprehensive validation criteria, particularly for the difficulty of checking value ranges in the multi-tenanted domain of the Web of Data. In this paper, we provide an updated review of current practices, techniques, and tools for editing SensorML in the perspective of profile support and introduce our solution for effective profile definition. Beside allowing for formalization of a broad range of constraints that concur in defining a metadata profile, our proposal closes the gap between profile definition and actual editing of the corresponding metadata by allowing for ex-ante validation of the metadata that is produced. On this basis, we suggest the notion of Semantic Web SensorML profiles, characterized by a new family of constraints involving Semantic Web sources. We also discuss implementation of SensorML profiles with our tool and pinpoint the benefits with respect to the existing ex-post validation facilities provided by schema definition languages.

Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014).-- 5 pages.Presentation (8 slides) available at http://prezi.com/6gmerli4l8ey/eurocris-2014-20140513-15/RITMARE is a Flagship Project by the Italian Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR) and coordinated by the National Research Council (CNR). It aims at the interdisciplinary integration of national marine research. In pursuing a Linked Open Data (LOD) vocation, the RITMARE sub-project 7 is building the necessary domain-related data structures by leveraging existing RDF-based schemata and sources. These data structures are grounding semantics-aware profiling of end users, data providers, and resources. The goal is designing a flexible infrastructure that adapts to the audience's specificities

Sharing resources across multiple information communities requires new technologies. This article highlights activities and best practices of some EU projects as they relate to linked open data. This paper also provides a better understanding of the issues related to semantic interoperability in the context of environmental data management in the EU, and of the efforts to address these problems. The paper also provide the EU policy context and highlight solutions adopted in the Infrastructure for Spatial Information in the European Community (INSPIRE) for enabling semantic interoperability, as well as their relevance to linked and open data.