XQOWL: An Extension of XQuery for OWL Querying and Reasoning

One of the main aims of the so-called Web of Data is to be able to handle heterogeneous resources where data can be expressed in either XML or RDF. The design of programming languages able to handle both XML and RDF data is a key target in this context. In this paper we present a framework called XQOWL that makes possible to handle XML and RDF/OWL data with XQuery. XQOWL can be considered as an extension of the XQuery language that connects XQuery with SPARQL and OWL reasoners. XQOWL embeds SPARQL queries (via Jena SPARQL engine) in XQuery and enables to make calls to OWL reasoners (HermiT, Pellet and FaCT++) from XQuery. It permits to combine queries against XML and RDF/OWL resources as well as to reason with RDF/OWL data. Therefore input data can be either XML or RDF/OWL and output data can be formatted in XML (also using RDF/OWL XML serialization).Comment: In Proceedings PROLE 2014, arXiv:1501.0169

A Shared Ontology Approach to Semantic Representation of BIM Data

Architecture, engineering, construction and facility management (AEC-FM) projects involve a large number of participants that must exchange information and combine their knowledge for successful completion of a project. Currently, most of the AEC-FM domains store their information about a project in text documents or use XML, relational, or object-oriented formats that make information integration difficult. The AEC-FM industry is not taking advantage of the full potential of the Semantic Web for streamlining sharing, connecting, and combining information from different domains. The Semantic Web is designed to solve the information integration problem by creating a web of structured and connected data that can be processed by machines. It allows combining information from different sources with different underlying schemas distributed over the Internet. In the Semantic Web, all data instances and data schema are stored in a graph data store, which makes it easy to merge data from different sources. This paper presents a shared ontology approach to semantic representation of building information. The semantic representation of building information facilitates finding and integrating building information distributed in several knowledge bases. A case study demonstrates the development of a semantic based building design knowledge base

Use-cases on evolution

This report presents a set of use cases for evolution and reactivity for data in the Web and Semantic Web. This set is organized around three different case study scenarios, each of them is related to one of the three different areas of application within Rewerse. Namely, the scenarios are: “The Rewerse Information System and Portal”, closely related to the work of A3 – Personalised Information Systems; “Organizing Travels”, that may be related to the work of A1 – Events, Time, and Locations; “Updates and evolution in bioinformatics data sources” related to the work of A2 – Towards a Bioinformatics Web

Sustainable Design of Buildings using Semantic BIM and Semantic Web Services

In response to the growing concerns about climate change and the environment, sustainable design of buildings is increasingly demanded by building owners and users. However, fast evaluation of various design options and identification of the optimized design requires application of design analysis tools such as energy modeling, daylight simulations, and natural ventilation analysis software. Energy analysis requires access to distributed sources of information such as building element material properties provided by designers, mechanical equipment information provided by equipment manufacturers, weather data provided by weather reporting agencies, and energy cost data from energy providers. Gathering energy related information from different sources and inputting the information to an energy analysis application is a time consuming process. This causes delays and increases the time for comparing different design alternatives. This paper discusses how Semantic Web technology can facilitate information collection from several sources for energy analysis. Semantic Web enables sharing, accessing, and combining information over the Internet in a machine process-able format. This would free building designers to concentrate on building design optimization rather than spending time on data preparation and manual entry into energy analysis applications

Relāciju datu bāzu informācijas pieejamība semantiskā tīmekļa tehnoloģijām

Promocijas darba „Relāciju datu bāzu informācijas pieejamība semantiskā tīmekļa tehnoloģijām” Anotācija Atslēgas vārdi: relāciju datu bāze, RDF, OWL, ontoloģijas, attēlojums Semantiskā tīmekļa uzdevums ir pārvērst tīmekli no milzīgas dokumentu kolekcijas par bagātu datu avotu, no kura datorprogrammas varētu automātiski iegūt informāciju. Lielākā daļa esošo datu glabājas relāciju datu bāzēs un nav pieejamas semantiskam tīmeklim. Darba mērķis ir atrast risinājumu relāciju datu bāzu un OWL ontololoģijas sasaistei. Darbā 1) pētīti esošie risinājumus relāciju datu bāzu un RDF/OWL ontoloģiju sasaistes nodrošināšanā; 2) izveidota RDB-RDF/OWL attēlojuma specificēšanas valoda, kas orientēta uz lasāmību, pieraksta īsumu un augsta līmeņa konstrukciju izmantošanu; 3) izveidota praktiskām situācijām piemērota efektīva atbilstību realizācija, izmantojot relāciju datu bāzi atbilstību informācijas glabāšanai un RDF trijnieku ģenerēšanai, un tā pielietota Latvijas medicīnas 6 reģistru datu semantiskā reinženierijā.Thesis „Relational Database information availability to Semantic Web technologies” Annotation Keywords: Relational databases, RDF, OWL, ontologies, mapping The purpose of Semantic Web is to convert the web from huge collection of documents into rich dataset from which it would be possible for computer programs to get information automatically. Most of real data are stored in relational databases and are not available to Semantic Web. The purpose of this work is to find solution to map relational databases and OWL ontologies. In the thesis 1) existing RDB-to-RDF/OWL mapping solutions are investigated; 2) RDB-to-RDF/OWL mapping specification language is designed that is oriented towards readability, conciseness and high level construct usage; 3) effective and suitable for practical use-cases mapping implementation is created using relational database for mapping data storage and RDF triple generation; the implementation was applied to semantic re-engineering of 6 Latvian Medicine registries

Gustave Roud, « Œuvres complètes ». Edizione digitale e RDF

The poster presents the ongoing project ‘Gustave Roud, Œuvres complètes’ of the University of Lausanne. In particular, we focus on the technical choices and on the software infrastructure used, which is a framework called Knora (RDF, OWL, RESTful API)

FAIR principles and the IEDB: short-term improvements and a long-term vision of OBO-foundry mediated machine-actionable interoperability.

The Immune Epitope Database (IEDB), at www.iedb.org, has the mission to make published experimental data relating to the recognition of immune epitopes easily available to the scientific public. By presenting curated data in a searchable database, we have liberated it from the tables and figures of journal articles, making it more accessible and usable by immunologists. Recently, the principles of Findability, Accessibility, Interoperability and Reusability have been formulated as goals that data repositories should meet to enhance the usefulness of their data holdings. We here examine how the IEDB complies with these principles and identify broad areas of success, but also areas for improvement. We describe short-term improvements to the IEDB that are being implemented now, as well as a long-term vision of true 'machine-actionable interoperability', which we believe will require community agreement on standardization of knowledge representation that can be built on top of the shared use of ontologies