Search results for "linked data"
showing 10 items of 23 documents
Knowledge Representation on the Web Revisited : The Case for Prototypes
2016
Recently, RDF and OWL have become the most common knowledge representation languages in use on the Web, propelled by the recommendation of the W3C. In this paper we examine an alternative way to represent knowledge based on Prototypes. This Prototype-based representation has different properties, which we argue to be more suitable for data sharing and reuse on the Web. Prototypes avoid the distinction between classes and instances and provide a means for object-based data sharing and reuse. In this paper we discuss the requirements and design principles for Knowledge Representation based on Prototypes on the Web, after which we propose a formal syntax and semantics. We further show how to e…
Schema-Backed Visual Queries over Europeana and Other Linked Data Resources
2021
We describe and demonstrate the process of extracting a data-driven schema of the Europeana cultural heritage Linked data resource (with actual data classes, properties and their connections, and cardinalities) and application of the extracted schema to create a visual query environment over Europeana. The extracted schema information allows generating SHACL data shapes describing the actual data endpoint structure. The schema extraction process can be applied also to other data endpoints with a moderate data schema size and a potentially large data triple count, as e.g., British National Bibliography Linked data resource.
Querying Dynamic and Context-Sensitive Metadata in Semantic Web
2005
RDF (core Semantic Web standard) is not originally appropriate for context representation, because of its initial focus on the ordinary Web resources, such as web pages, files, databases, services, etc., which structure and content are more or less stable. However, on the other hand, emerging industrial applications consider e.g. machines, processes, personnel, services for condition monitoring, remote diagnostics and maintenance, etc. to be specific classes of Web resources and thus a subject for semantic annotation. Such resources are naturally dynamic, not only from the point of view of changing values for some attributes (state of resource), but also from the point of view of changing “…
Schema-Based Visual Queries over Linked Data Endpoints
2019
We present the option to use the schema-based visual query tool ViziQuer over realistic Linked Data endpoints. We describe the tool meta-schema structure and the means for the endpoint schema retrieval both from an OWL ontology and from a SPARQL endpoint. We report on a store of the endpoint-specific schemas and the options to support the schema presentation to the end-user both as a class tree within the environment and as external visual diagram.
Supporting Learning Activities in the Health Sector through Open Data
2015
The growing availability of Open Data for educational purposes is playing a key role in shaping and influencing the development of the learning processes. At the same time, Open Data have a particular potential in the health sector so that the major healthcare organizations, universities, colleges, and medical schools are in the process of creating high quality 'Open' education & training resources and tools. However, in this growing world of open health resources for educational purposes, the task of finding the right material can become very difficult mainly when using a general purpose search engine like google. Thus, to overcome this problem and facilitate the search and learning ac…
Discours Numériques : Quels enjeux pour la linguistique (appliquée) ?
2017
International audience; L'exposé est consacré à une présentation des enjeux potentiels, pour la recherche en linguistique (appliquée), du traitement, aussi par les industries de la langue, de nouveaux types de corpus numériques issus de l'essor des TIC. A partir de trois projets en cours à la MSH de Dijon, la partie centrale discute des besoins en recherche linguistique fondamentale qui émergent de ces nouvelles problématiques.
Quality Improvement Based on Big Data Analysis
2016
Big data analysis has become an important trend in computer science. Quality improvement is a constant in current industry trends. In this paper, we present an idea of quality improvement based on big data analysis with the aid of linked data and ontologies in order to implement it in the case of automotive parts production. We consider defective automotive products and try to find the best refurbishment solution for them considering their characteristics. Moreover, we propose to develop a recommender system that is able to give recommendations in order to prevent or to alleviate defects and to provide insights for possible causes that led to these defective parts. This study intends to hel…
Praktiski vizuāli datu vaicājumi
2019
Maģistra darbā ir aprakstīts par saistītajiem datiem, RDF, SPARQL vaicājumiem, ViziQuer rīku, kas paradzēts praktiski vizuāli datu vaicājumu veidošanai, tā darbības būtību, pamatidejām, kā arī piekļuves punktiem, kuros iespējams iegūt datus izmantojot SPARQL vaicājumus. Rīku, ar kura palīdzību iespējams veikt vizuālus datu vaicājumus, šobrīd īsti nav, tāpēc, ņemot vērā to, ka vizuāli sastādīt vaicājumus ir ērtāk kā pārzināt dažādas sintakses, ir svarīgi veikt izpēti un paātrināt attīstību šajā virzienā. Izpētot pieejamos resursus par augstāk minētajām tēmām, veicot praktiskus izmēģinājumus un aplūkojot iegūtos rezultātus, tika izdarīti vairāki secinājumi par ViziQuer rīka darbību un iespēja…
Use of ICT in Smart Cities. A practical case applied to traffic management in the city of Valencia
2015
The whole process of converting a city into the new concept of Smart City implies the improvement of the efficiency and quality of services made available by governments and businesses and a corresponding increase in citizens' quality of life.
A framework for context-sensitive metadata description
2006
Expectations regarding the new generation of Web depend on the success of Semantic Web technology. Resource Description Framework (RDF) is a basis for explicit and machine-readable representation of semantics. However RDF is not suitable for describing dynamic and context-sensitive resources (eg. processes). We present the Context Description Framework (CDF) as an extension of the RDF by adding a 'TrueInContext' component to the basic RDF triple ('subject-predicate-object'), and consider contextual value as a container of RDF statements. We also add a probabilistic component, which allows multilevel contextual dependence descriptions as well as presumes possibility for Bayesian reasoning wi…