Complex logical query answering (CLQA) is a recently emerged task of graph machine
learning that goes beyond simple one-hop link prediction and solves a far more complex …

Data modeling supported by ontologies favors the organization of knowledge and the use of
inference machines to obtain new knowledge about data and support expert decision …

Graph databases are the primary workhorse for storing and organizing structured
information over real-world entities. The core task on graph databases is query answering …

Complex logical query answering (CLQA) is a recently emerged task of graph machine
learning that goes beyond simple one-hop link prediction and solves the far more complex …

RESUMO A avaliação de projetos construtivos sustentáveis objetiva mensurar o
desempenho em sustentabilidade dos ambientes construídos e é importante para melhorar …

The SFI Smart Ocean centre has initiated a long-running project which consists of
developing a wireless and autonomous marine observation system for monitoring of …

This paper describes the design and implementation of a recommender application
framework which aims to simplify development of ontology-based recommender …

Esprimere incertezza, ipotesi, dubbi in RDF con le Congetture Page 1 Alma Mater Studiorum ·
Universit`a di Bologna SCUOLA DI SCIENZE Corso di Laurea in Informatica Esprimere …

La semantica di RDF non permette di esprimere punti di vista contraddittori sullo stesso set
di dati. Il problema consiste sostanzialmente nell'impossibilità di esprimere, in RDF …

U ovom radu su istraživane semantičke veb tehnologije i njihova primena u
elektroenergetskim sistemima. Analizirani su CIM standardi usvojeni od strane IEC-a (61970 …