Semantic Integration of Heterogeneous and Complex Spreadsheet Tables

Abstract

A great number of companies and institutions use spreadsheets for managing, publishing and sharing their data. Though effective, spreadsheets are mainly designed for being interpreted by humans, and the automatic extraction of their content and interpretation is a complex task. The task becomes even harder when tables present different kinds of mistakes and their layout is complex. In this paper, we outline the approach that we wish to develop during the PhD for answering the research question "how to semi-automatically extract coherent semantic information from heterogeneous and complex spreadsheets?".