Triple Patterns Extraction for Accessing Data on Ontology
Zin Thu Thu Myint, Kay Khaing Win · International Journal of Future Computer and Communication · 2013
Some web applications use the ontology to integrate multiple data sources because ontology-based data integration is the ideal solution to handle the semantic conflict.For accessing the data on ontology, ontology understanding query such as SPARQL is needed.However, end users enter the unstructured sentence (words, statements, etc.) as an input when they wanted to search the required information on the web.So, it is needed to extract the triplets (i.e.subjects, predicates and objects) from the input query to build the ontology browsing query SPARQL.Although there are many triplet extraction algorithms, either they can't fully define all triple patterns from the incoming query or they are time consuming process.The proposed algorithm presented in this paper can handle this triplet's incompleteness problem and the aim of this system is to extract the specific triplets from incoming query and to add the necessary information for supporting SPARQL query generating process in a time-saving manner.