Formal Language Decomposition into Semantic Primes

Formal Language Decomposition into Semantic Primes

Authors:
Johannes FÄHNDRICH, Sebastian AHRNDT, Sahin ALBAYRAK

DOI:
10.14201/ADCAIJ2014385673

Volume:
Regular Issue 3 (1), 2014

Keywords: 
Semantic Decomposition; Semantic Description; AI Planning; Service Matching

This paper describes an algorithm for semantic decomposition. For that we surveys languages used to enrich contextual information with semantic descriptions. Such descriptions can be e.g. applied to enable reasoning when collecting vast amounts of information. In particular, we focus on the elements of the languages that make up their semantic. To do so, we compare the expressiveness of the well-known languages OWL, PDDL and MOF with a theory from linguistic called the Natural Semantic Metalanguage. We then analyze how the semantic of the language is build up and describe how semantic decomposition based on the semantic primes can be used for a so called mental lexicon. This mental lexicon can be used to reason upon semantic service description in the research domain of service match making.

JCR

Position in 2022 Journal Citation Indicator (JCI) Ranking:
Category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE


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