Matching natural language data on ontologies

I n eastern Asia, the early farmers created a high-performing rice cropping system in which rice seedlings were grown in nurseries and then transplanted in paddy fields

To answer the question how the additional Wikipedia editions inuence the per- formance of the mapping between Wikipedia and Cyc (cf. [2]) we have dened the following tasks: 1)

Specific questions include: "How does remembering self in moments of praxis construct educational perspeclivesthrough narrati ve?";"Whatdoesa critically-framed

In this paper, we propose a Wikipedia Category Comprehensiveness Checker (WC-triple or WC3: formerly named as Wikipedia Category Consistency Checker[3]) that has a SPARQL query

We presented our approach for query expansion, which includes concept can- didates generation from Wikipedia and DBpedia, and the selection of K-best concepts according to the

fairly large – in total, the amount of statements about the instances in the exam- ple list page can be enlarged by a factor of almost four, plus the type statements for the

In [3] we evaluated T`ıpalo by extracting the types for a sample of 627 resources, while in this work we want to extract the ontology of Wikipedia by running T`ıpalo on

However, in contrast to approaches using co-occurence analysis on Wikipedia [18] or Google Distance [6], which require a quadratic number of search requests, our approach only issues