Authors:
F. Gargiulo
1
;
G. Zazzaro
1
;
G. Romano
1
;
G. Gigante
1
;
A. Raggioli
2
and
R. Fusco
3
Affiliations:
1
Italian Aerospace Research Centre, Italy
;
2
GruppoMeta, Italy
;
3
Gruppo Meta, Italy
Keyword(s):
Aerospace Lexical Domain Ontology, Word Sense Disambiguation, Aerospace Taxonomy, Semantic Search, Document Categorization, Aerospace Information System.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Retrieval
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Pattern Recognition
;
Society, e-Business and e-Government
;
Software Engineering
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
This paper describes a semantic search tool based on our experience in using a new lexical domain ontology for aerospace integrated with an open source general purpose ontology to support aerospace engineers in the timely semantic retrieval of the knowledge. The semantic search module represents an integrated tool dedicated to the semantic search, extraction and classification of information and knowledge in aerospace domain. It describes the implementation of a disambiguation algorithm based upon these ontologies and a new interesting graphical user interface for semantic searches is presented. Furthermore, next to the domain ontology, a taxonomy for classifying aerospace documents is also proposed. The document classification algorithm that leverages the deep integration between the proposed lexical domain ontology and taxonomy is also described. Finally, some considerations about the usage of the semantic search module by the side of domain experts, semantic experts or common user
s are reported.
(More)