In recent years, as a knowledge-based discipline, bioinformatics has been made more
computationally amenable. After its beginnings as a technology advocated by computer …

Deep neural networks are hegemonic approaches to many machine learning areas,
including natural language processing (NLP). Thanks to the availability of large corpora …

In this work, we perform a systematic literature review of Open Data and Public Domain
datasets in Agriculture. We use the PRISMA method to analyze the existing academic …

The expressivity of RDF and RDF Schema that was described in [12] is deliberately very
limited: RDF is (roughly) limited to binary ground predicates, and RDF Schema is (again …

This paper provides a self-contained first introduction to description logics (DLs). The main
concepts and features are explained with examples before syntax and semantics of the DL …

Urban tunnel infrastructure plays critical roles in sustaining the wellbeing of a society. The
operation of tunnels relies on a diverse range of tunnel electromechanical equipment (TEE) …

Abstract Answer Set Programming (ASP) is a declarative problem solving paradigm, rooted
in Logic Programming and Nonmonotonic Reasoning, which has been gaining increasing …

The reconfiguration of control software is regarded as an important ability to enhance the
effectiveness and efficiency in future manufacturing systems. Agent technology is …

Conceptualization, or viewing entities and situations as instances of abstract concepts in
mind and making inferences based on that, is a vital component in human intelligence for …

Abstract Knowledge graph (KG) embedding models have emerged as powerful means for
KG completion. To learn the representation of KGs, entities and relations are projected in a …