Recommending Geo-semantically Related Classes for Link Discovery
Authors (first, second and last of 4)

Concepts and Ideas for Building Knowledgeable Systems
The Journal on Data Semantics (JoDS) is a peer-reviewed journal acting as a forum for the scientific community for the exchange of ideas concerning the foundations of modeling, the semantics, the representation, and the overall engineering of data, especially in the context of their interplay with software systems and applications built on top of them. Apart from the traditional research papers, surveys and empirical research papers are also welcome.
The main topics for the Journal on Data Semantics include, but are not limited to:
Metamodeling and design patterns
Conceptual modeling, Data modeling and Software modeling
Data Engineering Techniques with emphasis on Data Semantics
There are no restrictions on the types of data managed (indicatively, data can be relational, spatial, temporal, textual, multimodal, web or user-generated content, semantic-web, RDF, JSON, Parquet, …) or the environment that produces or hosts them (indicatively: traditional Information Systems, OLTP, DSS, Data warehouses and Business Intelligence, scientific data management, data lakes, service-oriented architectures, enterprise architectures, web-hosted content, public data sets, …).