A conceptual framework for linked data exploration

Conference paper (2012)

Authors

A. Bozzon Politecnico di Milano, Dipartimento di Elettronica e Informazione
Marco Brambilla Politecnico di Milano
Emanuele Della Valle Politecnico di Milano
Piero Fraternali Politecnico di Milano
Chiara Pasini Politecnico di Milano
Affiliation
External organisation
More Info
expand_more

Published Date

2012

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Affiliation

External organisation

Abstract

An increasing number of open data sets is becoming available on the Web as Linked Data (LD), many efforts has been devoted to show the potential of LD applications from the technical point of view. However, less attention has been paid to the analysis of the information seeking requirements from the user point of view. In this paper we examine the Information Seeking Process and we propose a general framework that address all its requirements in the context of LD-based applications. We support seamless integration of both Linked and non-Linked data sources and we allow designers to define complex, rank-aware result construction and exploration rules based on rank aggregation and multiple many-to-many data navigation.