<h1 id="an-ontology-for-collaborative-tasks-in-multi-agent-systems">An Ontology for Collaborative Tasks in Multi Agent Systems<a aria-hidden="true" class="anchor-heading icon-link" href="#an-ontology-for-collaborative-tasks-in-multi-agent-systems"></a></h1>
<ul>
<li><a href="https://ceur-ws.org/Vol-1442/paper_4.pdf">https://ceur-ws.org/Vol-1442/paper_4.pdf</a></li>
<li>topic: <a href="/wiki/notes/yhchlr97pvlpjmtrr5k5923">OWL-T,</a></li>
</ul>
<h2 id="abstract">Abstract<a aria-hidden="true" class="anchor-heading icon-link" href="#abstract"></a></h2>
<p>This paper proposes an ontology for task representation and infer- ence. The ontology was developed to support reasoning about tasks, such as task recognition and relocation. Our proposal is formalized in OWL (Web On- tology 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 sup- port 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</p>
<h2 id="highlights">Highlights<a aria-hidden="true" class="anchor-heading icon-link" href="#highlights"></a></h2>
<p><img src="/wiki/assets/images/2024-04-11-10-03-20.png"></p>
<ul>
<li>the main and most generic concepts of the proposed task ontology are: Task, Person, Location, Object, TimeInterval and TaskPurpose</li>
<li></li>
</ul>
<hr>
<strong>Backlinks</strong>
<ul>
<li><a href="/wiki/notes/mltrsxxtyk69l9t3cc5kw6w">Owl T a Task Ontology Language for Automatic Service Composition</a></li>
</ul>

An Ontology for Collaborative Tasks in Multi Agent Systems

public-notes


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## Purpose

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