%0 Conference Paper %1 RamachandranKrishnamurthi09COMPUTE %A Ramachandran, Vivek Anandan %A Krishnamurthi, Ilango %B COMPUTE '09: Proceedings of the 2nd Bangalore Annual Compute Conference, Bangalore, India %D 2009 %K v1205 acm paper ai semantic web language interaction user interface knowledge processing answer %P 1-4 %R 10.1145/1517303.1517322 %T NLION: Natural Language Interface for Querying ONtologies %X 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 percent. %@ 978-1-60558-476-8

@inproceedings{RamachandranKrishnamurthi09COMPUTE, abstract = {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 percent.}, added-at = {2012-05-30T10:52:39.000+0200}, author = {Ramachandran, Vivek Anandan and Krishnamurthi, Ilango}, biburl = {https://www.bibsonomy.org/bibtex/2a3481fee917ea5d804fa984b2c835d2e/flint63}, booktitle = {{COMPUTE '09:} Proceedings of the 2nd Bangalore Annual Compute Conference, Bangalore, India}, doi = {10.1145/1517303.1517322}, file = {ACM Digital Library:2009/RamachandranKrishnamurthi09COMPUTE.pdf:PDF}, groups = {public}, interhash = {60444b340cd7ba3f1842b2384b6da98f}, intrahash = {a3481fee917ea5d804fa984b2c835d2e}, isbn = {978-1-60558-476-8}, keywords = {v1205 acm paper ai semantic web language interaction user interface knowledge processing answer}, pages = {1-4}, timestamp = {2018-04-16T12:31:41.000+0200}, title = {{NLION:} {N}atural {L}anguage {I}nterface for Querying {ON}tologies}, username = {flint63}, year = 2009 }