Title
Semi-automatic Ontology Maintenance in the Virtuoso News Monitoring System
Author
Amardeilh, F.
Kraaij, W.
Spitters, M.M.
Versloot, C.A.
Yurtsever, S.
Publication year
2013
Abstract
Domain ontologies are a central component in the Virtuoso demonstrator, a system that captures, analyzes and aggregates open news sources in order to achieve an information position that supports complex decision processes in the context of border control. However, maintenance of such an ontology is a challenging task. We demonstrate a text processing pipeline that supports domain experts in maintaining the domain ontology. The system facilitates the maintenance by generating candidate concepts that should be added to the ontology. Some initial tests have been carried out with filtering candidate concepts from a domain specific news feed.
Subject
Communication & Information
MNS - Media & Network Services
TS - Technical Sciences
Safety and Security
Defence
Defence, Safety and Security
Clustering
Concept detection
Maintenance
Ontologies
Terminology extraction
Text mining
Trend mining
Electronic publishing
Open sources
Border control
To reference this document use:
http://resolver.tudelft.nl/uuid:5e67591d-abfe-4407-a108-e45e819ee78f
DOI
https://doi.org/10.1109/eisic.2013.29
TNO identifier
484667
Publisher
IEEE, Piscataway, NJ
Source
2013 European Intelligence and Security Informatics Conference (EISIC), 12 - 14 August 2013, Uppsala, Sweden, 35-138
Document type
conference paper