Searching linked data with a twist of serendipity

Jeronimo S.A. Eichler; Marco A. Casanova; Antonio L. Furtado; Lívia Ruback; Luiz André P.Paes Leme; Giseli Rabello Lopes; Bernardo Pereira Nunes; Alessandra Raffaetà; Chiara Renso

doi:10.1007/978-3-319-59536-8_31

Searching linked data with a twist of serendipity

Jeronimo S.A. Eichler^*, Marco A. Casanova, Antonio L. Furtado, Lívia Ruback, Luiz André P.Paes Leme, Giseli Rabello Lopes, Bernardo Pereira Nunes, Alessandra Raffaetà, Chiara Renso

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Serendipity is defined as the discovery of a thing when one is not searching for it. In other words, serendipity means the discovery of information that provides valuable insights by unveiling previously unknown knowledge. This paper focuses on the problem of Linked Data serendipitous search. It first discusses how to capture a set of serendipity patterns in the context of Linked Data. Then, the paper introduces a Linked Data serendipitous search application, called the Serendipity Over Linked Data Search tool – SOL-Tool. Finally, the paper describes experiments with the tool to illustrate the serendipity effect using DBpedia. The experimental results present a promissory score of 90% of unexpectedness for real-world scenarios in the music domain.

Original language	English
Title of host publication	Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017
Editors	Eric Dubois, Klaus Pohl
Publisher	Springer Verlag
Pages	495-510
Number of pages	16
ISBN (Print)	9783319595351
DOIs	https://doi.org/10.1007/978-3-319-59536-8_31
Publication status	Published - 2017
Externally published	Yes
Event	Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017 - Essen, Germany Duration: 12 Jun 2017 → 16 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10253 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017
Country/Territory	Germany
City	Essen
Period	12/06/17 → 16/06/17

Access to Document

10.1007/978-3-319-59536-8_31

Cite this

Eichler, J. S. A., Casanova, M. A., Furtado, A. L., Ruback, L., Leme, L. A. P. P., Lopes, G. R., Nunes, B. P., Raffaetà, A., & Renso, C. (2017). Searching linked data with a twist of serendipity. In E. Dubois, & K. Pohl (Eds.), Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017 (pp. 495-510). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10253 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-59536-8_31

Eichler, Jeronimo S.A. ; Casanova, Marco A. ; Furtado, Antonio L. et al. / Searching linked data with a twist of serendipity. Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017. editor / Eric Dubois ; Klaus Pohl. Springer Verlag, 2017. pp. 495-510 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{55b0a411ca294725b5995c4cc7447477,

title = "Searching linked data with a twist of serendipity",

abstract = "Serendipity is defined as the discovery of a thing when one is not searching for it. In other words, serendipity means the discovery of information that provides valuable insights by unveiling previously unknown knowledge. This paper focuses on the problem of Linked Data serendipitous search. It first discusses how to capture a set of serendipity patterns in the context of Linked Data. Then, the paper introduces a Linked Data serendipitous search application, called the Serendipity Over Linked Data Search tool – SOL-Tool. Finally, the paper describes experiments with the tool to illustrate the serendipity effect using DBpedia. The experimental results present a promissory score of 90% of unexpectedness for real-world scenarios in the music domain.",

keywords = "Information retrieval, Linked data, Serendipity",

author = "Eichler, {Jeronimo S.A.} and Casanova, {Marco A.} and Furtado, {Antonio L.} and L{\'i}via Ruback and Leme, {Luiz Andr{\'e} P.Paes} and Lopes, {Giseli Rabello} and Nunes, {Bernardo Pereira} and Alessandra Raffaet{\`a} and Chiara Renso",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017 ; Conference date: 12-06-2017 Through 16-06-2017",

year = "2017",

doi = "10.1007/978-3-319-59536-8_31",

language = "English",

isbn = "9783319595351",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "495--510",

editor = "Eric Dubois and Klaus Pohl",

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address = "Germany",

}

Eichler, JSA, Casanova, MA, Furtado, AL, Ruback, L, Leme, LAPP, Lopes, GR, Nunes, BP, Raffaetà, A & Renso, C 2017, Searching linked data with a twist of serendipity. in E Dubois & K Pohl (eds), Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10253 LNCS, Springer Verlag, pp. 495-510, Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017, Essen, Germany, 12/06/17. https://doi.org/10.1007/978-3-319-59536-8_31

Searching linked data with a twist of serendipity. / Eichler, Jeronimo S.A.; Casanova, Marco A.; Furtado, Antonio L. et al.
Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017. ed. / Eric Dubois; Klaus Pohl. Springer Verlag, 2017. p. 495-510 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10253 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Searching linked data with a twist of serendipity

AU - Eichler, Jeronimo S.A.

AU - Casanova, Marco A.

AU - Furtado, Antonio L.

AU - Ruback, Lívia

AU - Leme, Luiz André P.Paes

AU - Lopes, Giseli Rabello

AU - Nunes, Bernardo Pereira

AU - Raffaetà, Alessandra

AU - Renso, Chiara

PY - 2017

Y1 - 2017

N2 - Serendipity is defined as the discovery of a thing when one is not searching for it. In other words, serendipity means the discovery of information that provides valuable insights by unveiling previously unknown knowledge. This paper focuses on the problem of Linked Data serendipitous search. It first discusses how to capture a set of serendipity patterns in the context of Linked Data. Then, the paper introduces a Linked Data serendipitous search application, called the Serendipity Over Linked Data Search tool – SOL-Tool. Finally, the paper describes experiments with the tool to illustrate the serendipity effect using DBpedia. The experimental results present a promissory score of 90% of unexpectedness for real-world scenarios in the music domain.

AB - Serendipity is defined as the discovery of a thing when one is not searching for it. In other words, serendipity means the discovery of information that provides valuable insights by unveiling previously unknown knowledge. This paper focuses on the problem of Linked Data serendipitous search. It first discusses how to capture a set of serendipity patterns in the context of Linked Data. Then, the paper introduces a Linked Data serendipitous search application, called the Serendipity Over Linked Data Search tool – SOL-Tool. Finally, the paper describes experiments with the tool to illustrate the serendipity effect using DBpedia. The experimental results present a promissory score of 90% of unexpectedness for real-world scenarios in the music domain.

KW - Information retrieval

KW - Linked data

KW - Serendipity

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DO - 10.1007/978-3-319-59536-8_31

M3 - Conference contribution

SN - 9783319595351

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 495

EP - 510

BT - Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017

A2 - Dubois, Eric

A2 - Pohl, Klaus

PB - Springer Verlag

T2 - Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017

Y2 - 12 June 2017 through 16 June 2017

ER -

Eichler JSA, Casanova MA, Furtado AL, Ruback L, Leme LAPP, Lopes GR et al. Searching linked data with a twist of serendipity. In Dubois E, Pohl K, editors, Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017. Springer Verlag. 2017. p. 495-510. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-59536-8_31

Searching linked data with a twist of serendipity

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