Entity alignment (EA) which links equivalent entities across different knowledge graphs (KGs) plays a crucial role in fusion. In recent years, graph neural networks (GNNs) have been successfully applied many embedding-based EA methods. However, existing GNN-based methods either suffer from the structural heterogeneity issue that especially appears real KG distributions or ignore heterogeneous r...

  Improving knowledge worker productivity has been one of the most important tasks of the century. However, we have few measures or management interventions to make such improvement possible, and it is difficult to identify patterns that should be followed by knowledge workers because systems and processes in an organization are often regarded as a death blow to creativity. In this paper, we se...

Using domain knowledge in unsupervised learning has shown to be a useful strategy when the set of examples of a given domain has not an evident structure or presents some level of noise. This background knowledge can be expressed as a set of classification rules and introduced as a semantic bias during the learning process. In this work we present some experiments on the use of partial domain k...

introduction: recognition and implementation of knowledge management have an important effect on improving the quality of hospital activities. according to the direct relationship with the society’s health, health and treatment departments need knowledgeable and skillful staff. thus, this research investigated different dimensions of the knowledge management processes in teaching hospitals of s...

Attribute-oriented induction approach (AOA) has been developed for knowledge discovery in large relational database. Several kinds of knowledge, such as characteristic rules and discrimination or classification rules can be discovered. These rules may contain unnecessary conditions and/or unnecessary conditionvalues. A Tuple-oriented approach (TOA) examines one tuple at a time since there are l...