Recommending tripleset interlinking through a social network approach

Giseli Rabello Lopes; Luiz André P.Paes Leme; Bernardo Pereira Nunes; Marco Antonio Casanova; Stefan Dietze

doi:10.1007/978-3-642-41230-1_13

Recommending tripleset interlinking through a social network approach

Giseli Rabello Lopes, Luiz André P.Paes Leme, Bernardo Pereira Nunes, Marco Antonio Casanova, Stefan Dietze

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

11 Citations (Scopus)

Abstract

Tripleset interlinking is one of the main principles of Linked Data. However, the discovery of existing triplesets relevant to be linked with a new tripleset is a non-trivial task in the publishing process. Without prior knowledge about the entire Web of Data, a data publisher must perform an exploratory search, which demands substantial effort and may become impracticable, with the growth and dissemination of Linked Data. Aiming at alleviating this problem, this paper proposes a recommendation approach for this scenario, using a Social Network perspective. The experimental results show that the proposed approach obtains high levels of recall and reduces in up to 90% the number of triplesets to be further inspected for establishing appropriate links.

Original language	English
Title of host publication	Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings
Pages	149-161
Number of pages	13
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-41230-1_13
Publication status	Published - 2013
Externally published	Yes
Event	14th International Conference on Web Information Systems Engineering, WISE 2013 - Nanjing, China Duration: 13 Oct 2013 → 15 Oct 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	8180 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Web Information Systems Engineering, WISE 2013
Country/Territory	China
City	Nanjing
Period	13/10/13 → 15/10/13

Access to Document

10.1007/978-3-642-41230-1_13

Cite this

Lopes, G. R., Leme, L. A. P. P., Nunes, B. P., Casanova, M. A., & Dietze, S. (2013). Recommending tripleset interlinking through a social network approach. In Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings (PART 1 ed., pp. 149-161). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8180 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-41230-1_13

Lopes, Giseli Rabello ; Leme, Luiz André P.Paes ; Nunes, Bernardo Pereira et al. / Recommending tripleset interlinking through a social network approach. Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 1. ed. 2013. pp. 149-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "Tripleset interlinking is one of the main principles of Linked Data. However, the discovery of existing triplesets relevant to be linked with a new tripleset is a non-trivial task in the publishing process. Without prior knowledge about the entire Web of Data, a data publisher must perform an exploratory search, which demands substantial effort and may become impracticable, with the growth and dissemination of Linked Data. Aiming at alleviating this problem, this paper proposes a recommendation approach for this scenario, using a Social Network perspective. The experimental results show that the proposed approach obtains high levels of recall and reduces in up to 90% the number of triplesets to be further inspected for establishing appropriate links.",

keywords = "Linked Data, Recommender Systems, Social Networks",

author = "Lopes, {Giseli Rabello} and Leme, {Luiz Andr{\'e} P.Paes} and Nunes, {Bernardo Pereira} and Casanova, {Marco Antonio} and Stefan Dietze",

year = "2013",

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Lopes, GR, Leme, LAPP, Nunes, BP, Casanova, MA & Dietze, S 2013, Recommending tripleset interlinking through a social network approach. in Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8180 LNCS, pp. 149-161, 14th International Conference on Web Information Systems Engineering, WISE 2013, Nanjing, China, 13/10/13. https://doi.org/10.1007/978-3-642-41230-1_13

Recommending tripleset interlinking through a social network approach. / Lopes, Giseli Rabello; Leme, Luiz André P.Paes; Nunes, Bernardo Pereira et al.
Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 1. ed. 2013. p. 149-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8180 LNCS, No. PART 1).

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

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T1 - Recommending tripleset interlinking through a social network approach

AU - Lopes, Giseli Rabello

AU - Leme, Luiz André P.Paes

AU - Nunes, Bernardo Pereira

AU - Casanova, Marco Antonio

AU - Dietze, Stefan

PY - 2013

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AB - Tripleset interlinking is one of the main principles of Linked Data. However, the discovery of existing triplesets relevant to be linked with a new tripleset is a non-trivial task in the publishing process. Without prior knowledge about the entire Web of Data, a data publisher must perform an exploratory search, which demands substantial effort and may become impracticable, with the growth and dissemination of Linked Data. Aiming at alleviating this problem, this paper proposes a recommendation approach for this scenario, using a Social Network perspective. The experimental results show that the proposed approach obtains high levels of recall and reduces in up to 90% the number of triplesets to be further inspected for establishing appropriate links.

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KW - Recommender Systems

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DO - 10.1007/978-3-642-41230-1_13

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SN - 9783642412295

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

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Lopes GR, Leme LAPP, Nunes BP, Casanova MA, Dietze S. Recommending tripleset interlinking through a social network approach. In Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 1 ed. 2013. p. 149-161. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-41230-1_13

Recommending tripleset interlinking through a social network approach

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