Abstract
Semantics, in the context of information systems, allows for a rich description of information or behavioural models that improve application processing, integration, and performance. Research and development into semantic technologies is today centred around Semantic Web, which covers various areas of computer science including knowledge engineering, software and service engineering, data interoperability, logical languages, user experience, social networks, and last but not least, business applications. While a vast number of different semantic technologies already exist, it is not fully clear how industry may profit from them and what they bring on top of other solutions already available in the market. For this reason, many research efforts focus on showcasing semantic technologies in various domains, such as e-business, e-health, e-learning, telecommunications, transport, and e-Government.
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The “Ontology Alignment Evaluation Initiative 2006” (Euzenat et al. 2006) shows that the best five systems’ scores vary between 61% and 81% for precision and between 65% and 71% for recall.
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Vitvar, T., Peristeras, V., Tarabanis, K. (2010). Semantic Technologies for E-Government: An Overview. In: Vitvar, T., Peristeras, V., Tarabanis, K. (eds) Semantic Technologies for E-Government. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03507-4_1
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