Proposal of Context Search Engine for Integrated Use of Open and Private Data

Abstract

This paper aims to extend the context search engine so that it can retrieve both of open and private data. The context search engine has been developed for answering trend-related queries. While it is designed to store and retrieve publicity available data (open data), it is supposed that users often have data that can't be disclosed to the outside due to problems such as privacy protection. Making it possible to access both of such local data and open data in integrated manner would lead to effective utilization of data such as value creation from data. In order to examine the utility value of local data without sharing its contents, this paper introduces the concept of Data Jacket into the context search engine. Experimental results show its effectiveness.