An Ontology for Collaborative Tasks in Multi-agent Systems

Daniela Schmidt, Rafael H. Bordini, Felipe Meneguzzi, Renata Vieira

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution


This paper proposes an ontology for task representation and inference. The ontology was developed to support reasoning about tasks, such as
task recognition and relocation. Our proposal is formalized in OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language). We show one
scenario to exemplify reasoning situations based on the axioms and rules of our
ontology. This knowledge-level representation of tasks can be explored to support reasoning about activities for groups of people. The knowledge asserted
and inferred in the ontology is useful in multi-agent systems to enhance agent
coordination and collaboration through reasoning over tasks. An evaluation of
the proposed ontology is presented.
Original languageEnglish
Title of host publicationProceedings of the 2015 Brazilian Ontology Research Seminar
Number of pages12
Publication statusPublished - 2015


Dive into the research topics of 'An Ontology for Collaborative Tasks in Multi-agent Systems'. Together they form a unique fingerprint.

Cite this