Unleashing the power of information graphs

Matteo Lissandrini, Davide Mottin, Themis Palpanas, Dimitra Papadimitriou, Yannis Velegrakis

Research output: Contribution to journalJournal articleResearchpeer-review

10 Citations (Scopus)


Information graphs are generic graphs that model different types of information through nodes and edges. Knowledge graphs are the most common type of information graphs in which nodes represent entities and edges represent relationships among them. In this paper, we argue that exploitation of information graphs can lead into novel query answering capabilities that go beyond the existing capabilities of keyword search, and focus on one of them, namely, exemplar queries. Exemplar queries is a recently introduced paradigm that treats a user query as an example from the desired result set. In this paper, we describe the foundations of exemplar queries and the significant role of information graphs, and we present several applications and relevant research directions.

Original languageEnglish
JournalSIGMOD record
Issue number4
Pages (from-to)21-26
Number of pages6
Publication statusPublished - 1 Dec 2014
Externally publishedYes


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