%0 Journal Article
%T Discovering Resume Information using linked data
%A Ujjal Marjit
%A Kumar Sharma
%A Utpal Biswas
%J International Journal of Web & Semantic Technology
%D 2012
%I Academy & Industry Research Collaboration Center (AIRCC)
%X In spite of having different web applications to create and collect resumes, these web applications suffer mainly from a common standard data model, data sharing, and data reusing. Though, different web applications provide same quality of resume information, but internally there are many differences in terms of data structure and storage which makes computer difficult to process and analyse the information from different sources. The concept of Linked Data has enabled the web to share data among different data sources and to discover any kind of information while resolving the issues like heterogeneity, interoperability, and data reusing between different data sources and allowing machine process-able data on the web. In this paper we present Linked Data approach to discover resume information enabling the task aggregation, sharing and reusing the information among different resume information providers and organizations. We also demonstrate experimental results on semantically rich resume information.
%K Semantic Web
%K Linked Data
%K Resume
%K Provenance
%U http://airccse.org/journal/ijwest/papers/3212ijwest04.pdf