SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Viewing stemming as recall enhancement
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Natural language question answering: the view from here
Natural Language Engineering
AquaLog: an ontology-portable question answering system for the semantic web
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
A discourse and dialogue infrastructure for industrial dissemination
IWSDS'10 Proceedings of the Second international conference on Spoken dialogue systems for ambient environments
Maintenance of human and machine metadata over the web content
ICWE'12 Proceedings of the 12th international conference on Current Trends in Web Engineering
Hi-index | 0.00 |
Use of semantic web models for representing expert knowledge about a domain as an ontology is becoming increasingly common. However, since these ontologies contain detailed domain information in a formal specification, it cannot be easily understood by a casual user. Providing a natural language interface to ontologies will help such users to retrieve the required information and will further enable use of these ontologies in sophisticated applications. This paper presents NLION, a Natural Language Interface for querying ONtologies, which accepts a natural language query and outputs a SPARQL query. For achieving this, we use semantic relation tagging to recognize the meaning of the user query with respect to the target ontology. NLION effectiveness was analyzed and it was found to be 61.60%.