Abstract—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.
Index Terms—Triplet extraction, ontology, data integration,
semantic similarity, query translation.
The authors are with the University of Technology (Yadanarpon Cyber
City), near Pyin Oo Lwin, Myanmar (e-mail: zinthumyint@gmail.com,
kkhaingwin@gmail.com).
[PDF]
Cite:Zin Thu Thu Myint and Kay Khaing Win, "Triple Patterns Extraction for Accessing Data on Ontology," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 40-44, 2014.
