Journal on Data Semantics

Publisher: Springer |  Publishing Format: Open Access   | Impact Factor:

With the Web serving as a huge worldwide data repository, issues related to data semantics (familiar to database modelers since the 1970s) have again become of paramount importance. As Web data comes from heterogeneous, possibly unknown and mostly uncontrolled sources, it is anything but obvious how the information beyond the most basic factual data can be correctly understood. The same concern applies to data that is exchanged between systems that need to agree on its meaning in order to avoid dangerous misunderstandings. Semantic elicitation and the availability of appropriate semantic metadata are the key to the meaningful use of information in modern distributed environments.


data semantics, data mining, Data mining journal

Publication Format:  Open Access

Editor in Chief
Esteban Zimányi
Country:  Belgium

Email:   ezimanyi@ulb.ac.be
Country: USA

Website:   https://www.springer.com/journal/13740

Please refer to the original journal website for accurate and up to date information.

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