Authors:
Filiz Alaca Aygul
1
;
Nihan Kesim Cicekli
2
and
Ilyas Cicekli
3
Affiliations:
1
Turkish Scientific and Technological Research Council (TUBITAK), Turkey
;
2
METU, Turkey
;
3
Hacettepe University, Turkey
Keyword(s):
Natural Language Querying, Spatio-temporal Querying, MPEG-7 Ontology, SPARQL.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Case-studies
;
Artificial Intelligence
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Natural Language Processing
;
Pattern Recognition
;
Symbolic Systems
Abstract:
In this paper a natural language query interface is developed for semantic and spatio-temporal querying of MPEG-7 based domain ontologies. The underlying ontology is created by attaching domain ontologies to the core Rhizomik MPEG-7 ontology. The user can pose concept, complex concept, spatial, temporal, object trajectory and directional trajectory queries. Furthermore, the system handles the negative meaning in the user query. When the user enters a natural language query, it is parsed with the link parser. According to query type, the objects, attributes, spatial relation, temporal relation, trajectory relation, time filter and time information are extracted from the parser output by using predefined information extraction rules. After the information extraction, SPARQL queries are generated, and executed against the ontology by using an RDF API. The results are used to calculate spatial, temporal, and trajectory relations between objects. The results satisfying the required relati
ons are displayed in a tabular format and the user can navigate through the multimedia content.
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