In this paper, we present a generalization of the relational data model based on interval neutrosophic set [1]. Our data model is capable of manipulating incomplete as well as inc...
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
When different mathematical models are used for software analysis and development it is important to understand their relationships. When the models are truly mathematical, and wh...
This paper presents a probabilistic relational modelling (implementation) of the major probabilistic retrieval models. Such a high-level implementation is useful since it supports ...
: The World-Wide-Web contains data that cannot be constrained by a schema. Another source for such data is heterogenous corporate systems which are integrated in order to get bette...