Standpoint Logic: Multi-Perspective Knowledge Representation

Aus International Center for Computational Logic
Wechseln zu:Navigation, Suche

Standpoint Logic: Multi-Perspective Knowledge Representation

Vortrag von Lucía Gómez Álvarez
Ontologies and knowledge bases encode, to a certain extent, the stand-points or perspectives of their creators. As differences and conflicts between stand-points should be expected in multi-agent scenarios, this will pose challenges for shared creation and usage of knowledge sources.

Our work pursues the idea that, in some cases, a framework that can handle diverse and possibly conflicting standpoints is more useful and versatile than forcing their unification, and avoids common compromises required for their merge. Moreover, in analogy to the notion of family resemblance concepts, we propose that a collection of standpoints can provide a simpler yet more faithful and nuanced representation of some domains. To this end, we present standpoint logic, a multi-modal framework that is suitable for expressing information with semantically heterogeneous vocabularies, where a standpoint is a partial and acceptable interpretation of the domain. Standpoints can be organised hierarchically and combined, and complex correspondences can be established between them. We provide a formal syntax and semantics, outline the complexity for the propositional case, and explore the representational capacities of the framework in relation to standard techniques in ontology integration, with some examples in the Bio-Ontology domain.

This is a test talk for a presentation at FOIS 2021. Thus it will have a duration of 15 minutes after which questions can be asked. The talk will be given online via BigBlueButton. To access the room, use one of the following links:

with ZIH-login:

without ZIH-login: