Finding Implicit Relations in the
Is Web of Data .
Each Data Resource is represented by a URI
Data resources are linked to each other .The link also
has a URI identifying it.
Ontologies are used for conceptualizing , data is
mapped to the concept.
Described Using RDF.
Ontologies, RDF Triple, isparql
Conceptualization of data into classes.
DBpedia Ontology .
Properties , Domain , Range.
Querying the semantic web
The queries are in the form of Rdf graph.
A tool for querying RDF datasets .
User must know properties and classes of the ontology
the dataset is using .
User query given in a single triple but the answer is present
as n triples .
The relation is not present directly in the database.
The user creates the relation which he thinks is appropriate.
Finding the N triple form of the user query .
Algorithm for finding destination class which scan all
the properties in the ontology that have the domain of
the 1st class .Create a triple with candidate class.
Output will give the links from the 1st class to
Generate a set of queries having implicit relations from
Generate the correct triple from an ontology expert.
Retrieve the answer set.
Find the correct triple using the algorithm.
Evaluate the result using precision and recall.
Presence of Multiple Paths.
The two classes can be related by different relations .
Capturing the semantics of the relation given by the
user and using it to find the correct path.