Relational Description of Data – Study of Anomalies

This article presents the idea of a semantic dictionary and concentrates on the problem of anomalies which might appear in it. Th e existence of anomalies indicates the points of potential errors in the semantic network, thus the implementation and consequent application of an anomalies discovery algorithm, should have a positive impact on the quality of the semantic network. Th e presented problem and its solution are general, and might be applied to any knowledge source, but this work concentrates on the Polish Semantic Dictionary developed in the Computational Linguistics Department at the Jagiellonian University.

Relational Description of Data – Study of Anomalies

This article presents the idea of a semantic dictionary and concentrates on the problem of anomalies which might appear in it. Th e existence of anomalies indicates the points of potential errors in the semantic network, thus the implementation and consequent application of an anomalies discovery algorithm, should have a positive impact on the quality of the semantic network. Th e presented problem and its solution are general, and might be applied to any knowledge source, but this work concentrates on the Polish Semantic Dictionary developed in the Computational Linguistics Department at the Jagiellonian University.

Th is article presents the idea of a semantic dictionary and concentrates on the problem of anomalies which might appear in it. Th e existence of anomalies indicates the points of potential errors in the semantic network, thus the implementation and consequent application of an anomalies discovery algorithm, should have a positive impact on the quality of the semantic network. Th e presented problem and its solution are general, and might be applied to any knowledge source, but this work concentrates on the Polish Semantic Dictionary developed in the Computational Linguistics Department at the Jagiellonian University.