Rationale, Concepts, and Current Outcome of the Unit Graphs Framework

Maxime Lefrançois 1, * Fabien Gandon 1
* Corresponding author
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : The Unit Graphs (UGs) framework is a graph-based knowledge representation (KR) formalism that is designed to allow for the representation, manipulation, query, and reasoning over linguistic knowledge of the Explanatory Combinatorial Dictionary of the Meaning-Text Theory (MTT). This paper introduces the UGs framework, and overviews current published outcomes. It first introduces rationale of this new formalism: neither semantic web formalisms nor Conceptual Graphs can represent linguistic predicates. It then overviews the foundational concepts of this framework: the UGs are defined over a UG-support that contains: i) a hierarchy of unit types which is strongly driven by the actantial structure of unit types, ii) a hierarchy of circumstantial symbols, and iii) a set of unit identifiers. On these foundational concepts and on the definition of UGs, this paper finally overviews current outcomes of the UGs framework: the definition of a deep-semantic representation level for the MTT, representation of lexicographic definitions of lexical units in the form of semantic graphs, and two formal semantics: one based on UGs closure and homomorphism, and one based on model semantics.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/hal-00857652
Contributor : Maxime Lefrançois <>
Submitted on : Tuesday, September 3, 2013 - 6:24:58 PM
Last modification on : Monday, November 5, 2018 - 3:52:09 PM
Long-term archiving on : Thursday, April 6, 2017 - 3:02:49 PM

Identifiers

  • HAL Id : hal-00857652, version 1

Collections

Citation

Maxime Lefrançois, Fabien Gandon. Rationale, Concepts, and Current Outcome of the Unit Graphs Framework. RANLP - 9th International Conference Recent Advances in Natural Language Processing, Sep 2013, Hissar, Bulgaria. pp.382-388. ⟨hal-00857652⟩

Share

Metrics

Record views

352

Files downloads

419