Authors:
V. Michele Abrusci
1
;
Marco Romano
1
and
Christophe Fouqueré
2
Affiliations:
1
Università Roma Tre, Italy
;
2
LIPN, Université Paris 13 et CNRS, France
Keyword(s):
Coherence spaces, Folksonomy, Knowledge Representation, Logics, Ontology.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Ontology Sharing and Reuse
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
This work is an ongoing research (sponsored with a PhD grant by Epistematica Srl) about the interpretation of ontologies and their operations on specific graphs called Ontological Compatibility Spaces (OCS). Such graphs are particular Coherence Spaces that are used to give a denotational semantics to Linear Logic, hence giving a solid logical basis to our work. Using a graph framework, we depart from traditional set representation. It provides us with tools to represent actual relations among resources (and data) over the WorldWideWeb. After
defining such OCSs and their correspondence with ontologies, we show to which extent folksonomies may also be of use to discover ontologies by means of OCS. Then we briefly discuss what we may obtain thanks to such an interpretation, confident that it may benefit the Semantic Web initiative with a tool for dynamic data and resources exchange.