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Semantic analysis of contractual agreements to support end-user interpretation

: Nejad, N.M.

Volltext ()

Hollink, L.:
EKAW-DC 2018, EKAW Doctoral Consortium 2018. Online resource : Proceedings of the EKAW Doctoral Consortium 2018 co-located with the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018) Nancy, France, November 13, 2018
Nancy: CEUR, 2018 (CEUR Workshop Proceedings 2306)
ISSN: 1613-0073
8 S.
International Conference on Knowledge Engineering and Knowledge Management (EKAW) <21, 2018, Nancy>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

The ubiquitous availability of the Internet results in a huge
number of apps, software and online services with accompanying con-
tractual agreements in the form of `terms of use' and `privacy policy'.
Although everyone is exposed to such consent forms, the majority tend
to ignore them due to their length and complexity. In this thesis, we
focus on interpretation of contractual agreements for the benefit of end-
users. By applying text mining and semantic technologies, we develop an
approach that extracts important information and retrieves helpful links
and resources for the better comprehension. Our approach is based on
ontology-based information extraction and machine learning and deliv-
ers the unpleasant consent form in a user friendly and visualized format.
The evaluation shows that although semi-automatic approaches lead to
information loss, they save time and effort by producing instant results
and facilitate the end-users' understanding of legal texts.