Semantic Technologies

Semantic technologies deal with representing and using the meaning of things in a computerised system. Semantic technologies utilise relations between the things to answer questions, find relevant information, describe phenomena, and carry out other complex tasks.

Semantic technologies are at work around us nowadays. Google organises data about things in the real world and connections between them in the Knowledge Graphexternal link, opens in new window to provide additional information, which is relevant to your query. This information is shown in a box next to a usual result search list. IBM Watsonexternal link, opens in new window answers questions in a natural language by using pattern-matching rules and semantic analysis. They determine the focus of a question, lexical type of an answer, and relations between elements in the question. Chevron Information Technology Companyexternal link, opens in new window used semantic technologies in oil and gas industry to manage information about complex equipment, such as oil rigs. Linked data technologies are utilised by the BBCexternal link, opens in new window to aggregate data and connect online documents, e.g. to deliver information about athletes during the Olympics.

Semantic technologies are an array of techniques for machine-processable representation of the meaning of objects and their relations in a domain of discourse. The focus of the semantic technologies research at JU is on construction of formal semantic models and their use in software applications. Our research areas of interest include ontology engineering, ontology design patterns, and ontology learning aiming at creation of semantic representation of a domain. Furthermore, we investigate techniques such as ontology frameworks, logic programming, and genetic algorithms for the utilisation of semantic models in software system. Most of our research is co-produced with industry.

We apply semantic technologies in a number of domains:

  • Semantic web and linked data
  • Workplace innovation
  • Healthcare
  • Mass media
  • Competence management
  • Engineering informatics

Within engineering informatics, semantic technologies aim at providing support and automation of activities in the product engineering life cycle, such as product specification, requirements management, product development, product verification and validation. Particular applications include the fields of avionics industry, automotive industry, software industry, and casting and foundries.

Content updated 2016-10-25

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