Jakub Moskal

According to our database, Jakub Moskal authored at least 10 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

SPARQL Query Generator (SQG).

Yanji Chen, Mieczyslaw M. Kokar, Jakub J. Moskal

J. Data Semant., 2021

2020

RDF object description generator.

Yanji Chen, Mieczyslaw M. Kokar, Jakub J. Moskal

Int. J. Web Eng. Technol., 2020

2016

Reusability of knowledge for deriving latent situational information in EW scenarios.

Vincentzio Roman, Jakub J. Moskal, Mieczyslaw M. Kokar, Roger P. Guseman, Robert B. Normoyle, David H. Scheidt

Proceedings of the 2016 IEEE Military Communications Conference, 2016

2014

Inference and Ontologies.

Brian E. Ulicny, Jakub J. Moskal, Mieczyslaw M. Kokar, Keith Abe, John Kei Smith

Proceedings of the Cyber Defense and Situational Awareness, 2014

Comprehension of RDF Data Using Situation Theory and Concept Maps.

Jakub Moskal, Mieczyslaw M. Kokar, Brian Ulicny

Proceedings of the Ninth Conference on Semantic Technology for Intelligence, 2014

Inferring relations and individuals relevant to a situation: An example.

Mieczyslaw M. Kokar, Seokchul Shin, Brian Ulicny, Jakub Moskal

Proceedings of the IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2014

2013

Situational Awareness from Social Media.

Brian Ulicny, Jakub Moskal, Mieczyslaw M. Kokar

Proceedings of the Eighth Conference on Semantic Technologies for Intelligence, 2013

2012

Situations and policies.

Brian Ulicny, Gerald M. Powell, Won Ng, Jakub Moskal, Mieczyslaw M. Kokar

Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2012

2011

Semantic Policy Enforcement and Reconciliation for Information Exchange in XMPP.

Brian Ulicny, Won Ng, Oleg Simakoff, Jakub Moskal, Mieczyslaw M. Kokar

Proceedings of the Sixth International Conference on Semantic Technologies for Intelligence, 2011

2008

Detection of Suspicious Activity Using Different Rule Engines - Comparison of BaseVISor, Jena and Jess Rule Engines.

Jakub Moskal, Christopher J. Matheus

Proceedings of the Rule Representation, 2008