Semantic Web Technologies and NLP Techniques in a Practical Algorithm for Representing Concepts in Linked Data

摘要

The algorithms used to representing concepts in linked data are time consuming. In this paper we propose an algorithm, called PARC, to infer automatically the function of citations by means of Semantic Web technologies and NLP techniques. We also present some preliminary experiments and discuss some strengths and limitations of this approach, a novel method to analyze this phenomenon, based on a thorough theoretical analysis, as well as a novel graph-based method to resolve such issues to some extent. Our experiments on DBpedia show that our method can used for resenting concepts in web of linked data.