Ensuring the semantic interoperability issues between heterogeneous systems is very challenging task. Using a common semantic data model, is a central element to ensure this semantic interoperability. In fact, a common semantic data model allows heterogenous systems to share the same meaning of entities that enables them to interoperate. Ontologies are recognized as the corner stone element to build a common semantic model.
U ovoj lekciji biće opisani principi funkcionisanja semantičkog veba. Definisaće se značenja ontologija, taksonomija I ostalih izraza koji se često koriste. Praktična upotreba ovih tehnologija biće pokazana korišćenjem alata GraphDB kompanije Ontotext. Kroz primate u alatu GraphDB biće objašnjeno kako se pišu upiti za pretraživanje informacija u bazama podataka korišćenjem jezika SPARQL. Grafovi znanja I povezani podaci biće objašnjeni korišćenjem ovog alata.
The process of providing cross-border public services across EU Member States is complex, due to the heterogeneity of the actors, information and services of the different Member States. The complexity of exchanging data may lead to semantic interoperability conflicts. The Core Vocabularies can be used to reduce these semantic conflicts in two ways:
Linked Open Data is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. Linked Data technology matured significantly in the past few years. Automatic linking, extraction, mapping, and visualization of RDF data became mainstream technology provided by mature open-source software components. A vast number of small and large Linked Data resources, including DBPedia, now amounts to over 50 billion triples in total.