N
Nenad Krdzavac
Researcher at University of Cambridge
Publications - 24
Citations - 263
Nenad Krdzavac is an academic researcher from University of Cambridge. The author has contributed to research in topics: Description logic & Ontology (information science). The author has an hindex of 7, co-authored 22 publications receiving 132 citations. Previous affiliations of Nenad Krdzavac include University College Cork & Michigan State University.
Papers
More filters
Journal ArticleDOI
An agent composition framework for the J-Park simulator - a knowledge graph for the process industry
TL;DR: The comprehensive agent composition framework can be integrated into the J-Park Simulator (JPS) knowledge graph, for the automatic creation of a composite agent that simulates the dispersion of the emissions of a power plant within a selected spatial area.
Journal ArticleDOI
An Ontology and Semantic Web Service for Quantum Chemistry Calculations.
Nenad Krdzavac,Sebastian Mosbach,Daniel Nurkowski,Philipp Buerger,Jethro Akroyd,Jacob W. Martin,Angiras Menon,Markus Kraft +7 more
TL;DR: An ontology, termed OntoCompChem, for quantum chemistry calculations as performed by the Gaussian quantum chemistry software, as well as a semantic web service named MolHub, are presented.
Journal ArticleDOI
OntoPowSys: A power system ontology for cross domain interactions in an eco industrial park
Aravind Devanand,Gourab Karmakar,Nenad Krdzavac,Remy Rigo-Mariani,Y. S. Foo Eddy,Iftekhar A. Karimi,Markus Kraft,Markus Kraft +7 more
TL;DR: An ontology-based management system that focuses on the power systems domain and provides a framework for integrating this knowledge with the other domains of an EIP is proposed.
Journal ArticleDOI
From database to knowledge graph — using data in chemistry
TL;DR: This review summarizes several databases and ontologies available on the web for researchers to use and discusses briefly the categories of chemistry data that are stored, its main usage and how it can be accessed and understood in the framework of the Semantic Web.
Journal ArticleDOI
Model driven engineering of a tableau algorithm for description logics
TL;DR: The presented approach is based on the use of a MOF-based model repository and QVT-like transformations, which transform models compliant to the DL metamodels taken from the OMG's Ontology Definition Metamodel specification into models compliant into the Tableau metammodel defined in this paper.