Paper Info
Title
Ontology-based controlled natural language editor using CFG with lexical dependency
Abstract
In recent years, CNL (Controlled Natural Language) has received much attention with regard to ontology-based knowledge acquisition systems. CNLs, as subsets of natural languages, can be useful for both humans and computers by eliminating ambiguity of natural languages. Our previous work, OntoPath [10], proposed to edit natural language-like narratives that are structured in RDF (Resource Description Framework) triples, using a domain-specific ontology as their language constituents. However, our previous work and other systems employing CFG for grammar definition have difficulties in enlarging the expression capacity. A newly developed editor, which we propose in this paper, permits grammar definitions through CFG-LD (Context-Free Grammar with Lexical Dependency) that includes sequential and semantic structures of the grammars. With CFG describing the sequential structure of grammar, lexical dependencies between sentence elements can be designated in the definition system. Through the defined grammars, the implemented editor guides users' narratives in more familiar expressions with a domain-specific ontology and translates the content into RDF triples.
Year
DOI
Venue
2007
10.1007/978-3-540-76298-0_26
ISWC/ASWC
Keywords
Field
DocType
editor guides user,grammar definition,sequential structure,rdf triple,definition system,domain-specific ontology,lexical dependency,natural language-like narrative,previous work,natural language editor,natural language,context free grammar,look ahead,resource description framework
Controlled natural language,Programming language,Computer science,Lexical functional grammar,Natural language processing,Artificial intelligence,Mildly context-sensitive grammar formalism,Link grammar,Extended Affix Grammar,Parsing,Generative grammar,Lexical grammar,Database
Conference
Volume
ISSN
ISBN
4825
0302-9743
3-540-76297-3
Citations 
PageRank 
References 
8
0.72
8
Authors
2
Name
Order
Citations
PageRank
Hyun Namgoong1102.76
Hong-Gee Kim222522.83