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.

The aim of this work is to present the DCAT Application Profile (DCAT-AP) standard which in turn is derived from the W3C DCAT standard. DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web and also represent a way to provide context or metadata for datasets.

Ova lekcija opisuje softversko okruženje za obradu velikih količina podataka Apache Hadoop, njegove komponente koji upotpunjavaju i proširuju mogućnosti Hadoop-a, kao i njegovo korištenje u praksi. Da bismo u potpunosti razumeli prednosti Hadoop-a, potrebno je sagledati najpre razliku između paralelnog i distribuiranog računanja, načine čuvanja (HDFS arhitekturu), upravljanje resursima i procesiranja podataka, princip horizontalne skalabilnosti, itd.

The PLATOON Data Analytics toolbox is formed of all the data analytics tools that are developed and validated for the different use cases of the project. These tools will allow the extraction of value from heterogeneous data sources. There will be two main groups of data analytics tools: