MorphingAssist
Yui Yasunaga, Atsuyuki Morishima · 2016
There is an increasing number of web data that consists of text and structured data, such as the combination of Wikipedia pages and DBpedia data. To issue queries to such data, we must choose one of the following: (1) submit keyword queries against textual data or (2) submit structured queries written in structured query languages such as SQL and SPARQL against structured data. This paper proposes MorphingAssist, a tool to assist users to gradually transform keywords into structured queries. A feature of our method is to use a hybrid query language that allows a variety of mixtures of keyword and structured query components in a query so that every intermediate step of transformation produces meaningful queries. However, assisting users to transform queries in such a way is a challenge. This paper explains how MorphingAssist generates and shows such hints to the user to facilitate his/her transforming simple keyword queries into more precise queries.