FERASAT: A Serendipity-Fostering Faceted Browser for Linked Data

Ali Khalili, Peter van den Besselaar, Klaas Andries de Graaf

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Accidental knowledge discoveries occur most frequently during capricious and unplanned search and browsing of data. This type of undirected, random, and exploratory search and browsing of data results in Serendipity – the art of unsought finding. In our previous work we extracted a set of serendipity-fostering design features for developing intelligent user interfaces on Semantic Web and Linked Data browsing environments. The features facilitate the discovery of interesting and valuable facts in (linked) data which were not initially sought for. In this work, we present an implementation of those features called FERASAT. FERASAT provides an adaptive multigraph-based faceted browsing interface to catalyze serendipity while browsing Linked Data. FERASAT is already in use within the domain of science, technology & innovation (STI) studies to allow researchers who are not familiar with Linked Data technologies to explore heterogeneous interlinked datasets in order to observe and interpret surprising facts from the data relevant to policy and innovation studies. In addition to an analysis of the related work, we describe two STI use cases in the paper and demonstrate how different serendipity design features are addressed in those use cases.

Original languageEnglish
Title of host publicationThe Semantic Web - 15th International Conference, ESWC 2018, Proceedings
PublisherSpringer/Verlag
Pages351-366
Number of pages16
ISBN (Electronic)9783319934174
ISBN (Print)9783319934167
DOIs
Publication statusPublished - 2018
Event15th International Conference on Extended Semantic Web Conference, ESWC 2018 - Heraklion, Greece
Duration: 3 Jun 20187 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10843 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Extended Semantic Web Conference, ESWC 2018
CountryGreece
CityHeraklion
Period3/06/187/06/18

Fingerprint

Linked Data
Browsing
Innovation
Semantic Web
User interfaces
Data mining
Use Case
Multigraph
Knowledge Discovery
User Interface
Demonstrate

Cite this

Khalili, A., van den Besselaar, P., & de Graaf, K. A. (2018). FERASAT: A Serendipity-Fostering Faceted Browser for Linked Data. In The Semantic Web - 15th International Conference, ESWC 2018, Proceedings (pp. 351-366). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10843 LNCS). Springer/Verlag. https://doi.org/10.1007/978-3-319-93417-4_23
Khalili, Ali ; van den Besselaar, Peter ; de Graaf, Klaas Andries. / FERASAT : A Serendipity-Fostering Faceted Browser for Linked Data. The Semantic Web - 15th International Conference, ESWC 2018, Proceedings. Springer/Verlag, 2018. pp. 351-366 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Khalili, A, van den Besselaar, P & de Graaf, KA 2018, FERASAT: A Serendipity-Fostering Faceted Browser for Linked Data. in The Semantic Web - 15th International Conference, ESWC 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10843 LNCS, Springer/Verlag, pp. 351-366, 15th International Conference on Extended Semantic Web Conference, ESWC 2018, Heraklion, Greece, 3/06/18. https://doi.org/10.1007/978-3-319-93417-4_23

FERASAT : A Serendipity-Fostering Faceted Browser for Linked Data. / Khalili, Ali; van den Besselaar, Peter; de Graaf, Klaas Andries.

The Semantic Web - 15th International Conference, ESWC 2018, Proceedings. Springer/Verlag, 2018. p. 351-366 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10843 LNCS).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Khalili A, van den Besselaar P, de Graaf KA. FERASAT: A Serendipity-Fostering Faceted Browser for Linked Data. In The Semantic Web - 15th International Conference, ESWC 2018, Proceedings. Springer/Verlag. 2018. p. 351-366. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-93417-4_23