Standard
Finding co-solvers on Twitter, with a little help from linked data. / Stankovic, Milan
; Rowe, Matthew; Laublet, Philippe.
The semantic web: research and applications 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings. ed. / Elena Simperl; Philipp Cimiano; Axel Polleres; Oscar Corcho; Valentina Presutti. Berlin: Springer Verlag, 2012. p. 39-55 (Lecture Notes in Computer Science; Vol. 7295).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Stankovic, M
, Rowe, M & Laublet, P 2012,
Finding co-solvers on Twitter, with a little help from linked data. in E Simperl, P Cimiano, A Polleres, O Corcho & V Presutti (eds),
The semantic web: research and applications 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings. Lecture Notes in Computer Science, vol. 7295, Springer Verlag, Berlin, pp. 39-55, Extended Semantic Web Conference, Greece,
27/05/12.
https://doi.org/10.1007/978-3-642-30284-8_10APA
Stankovic, M.
, Rowe, M., & Laublet, P. (2012).
Finding co-solvers on Twitter, with a little help from linked data. In E. Simperl, P. Cimiano, A. Polleres, O. Corcho, & V. Presutti (Eds.),
The semantic web: research and applications 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings (pp. 39-55). (Lecture Notes in Computer Science; Vol. 7295). Springer Verlag.
https://doi.org/10.1007/978-3-642-30284-8_10Vancouver
Stankovic M
, Rowe M, Laublet P.
Finding co-solvers on Twitter, with a little help from linked data. In Simperl E, Cimiano P, Polleres A, Corcho O, Presutti V, editors, The semantic web: research and applications 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings. Berlin: Springer Verlag. 2012. p. 39-55. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-30284-8_10
Author
Stankovic, Milan
; Rowe, Matthew ; Laublet, Philippe. /
Finding co-solvers on Twitter, with a little help from linked data. The semantic web: research and applications 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings. editor / Elena Simperl ; Philipp Cimiano ; Axel Polleres ; Oscar Corcho ; Valentina Presutti. Berlin : Springer Verlag, 2012. pp. 39-55 (Lecture Notes in Computer Science).
Bibtex
@inproceedings{230f5cc7fdc64521ba2550fdf2311bdd,
title = "Finding co-solvers on Twitter, with a little help from linked data",
abstract = "In this paper we propose a method for suggesting potential collaborators for solving innovation challenges online, based on their competence, similarity of interests and social proximity with the user. We rely on Linked Data to derive a measure of semantic relatedness that we use to enrich both user profiles and innovation problems with additional relevant topics, thereby improving the performance of co-solver recommendation. We evaluate this approach against state of the art methods for query enrichment based on the distribution of topics in user profiles, and demonstrate its usefulness in recommending collaborators that are both complementary in competence and compatible with the user. Our experiments are grounded using data from the social networking service Twitter.com.",
keywords = "Linked Data, Twitter , Collaborator Recommendation",
author = "Milan Stankovic and Matthew Rowe and Philippe Laublet",
year = "2012",
month = may,
day = "29",
doi = "10.1007/978-3-642-30284-8_10",
language = "English",
isbn = "978-3-642-30283-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "39--55",
editor = "Elena Simperl and Philipp Cimiano and Axel Polleres and Corcho, {Oscar } and Valentina Presutti",
booktitle = "The semantic web",
note = "Extended Semantic Web Conference ; Conference date: 27-05-2012 Through 31-05-2012",
}
RIS
TY - GEN
T1 - Finding co-solvers on Twitter, with a little help from linked data
AU - Stankovic, Milan
AU - Rowe, Matthew
AU - Laublet, Philippe
PY - 2012/5/29
Y1 - 2012/5/29
N2 - In this paper we propose a method for suggesting potential collaborators for solving innovation challenges online, based on their competence, similarity of interests and social proximity with the user. We rely on Linked Data to derive a measure of semantic relatedness that we use to enrich both user profiles and innovation problems with additional relevant topics, thereby improving the performance of co-solver recommendation. We evaluate this approach against state of the art methods for query enrichment based on the distribution of topics in user profiles, and demonstrate its usefulness in recommending collaborators that are both complementary in competence and compatible with the user. Our experiments are grounded using data from the social networking service Twitter.com.
AB - In this paper we propose a method for suggesting potential collaborators for solving innovation challenges online, based on their competence, similarity of interests and social proximity with the user. We rely on Linked Data to derive a measure of semantic relatedness that we use to enrich both user profiles and innovation problems with additional relevant topics, thereby improving the performance of co-solver recommendation. We evaluate this approach against state of the art methods for query enrichment based on the distribution of topics in user profiles, and demonstrate its usefulness in recommending collaborators that are both complementary in competence and compatible with the user. Our experiments are grounded using data from the social networking service Twitter.com.
KW - Linked Data
KW - Twitter
KW - Collaborator Recommendation
U2 - 10.1007/978-3-642-30284-8_10
DO - 10.1007/978-3-642-30284-8_10
M3 - Conference contribution/Paper
SN - 978-3-642-30283-1
T3 - Lecture Notes in Computer Science
SP - 39
EP - 55
BT - The semantic web
A2 - Simperl, Elena
A2 - Cimiano, Philipp
A2 - Polleres, Axel
A2 - Corcho, Oscar
A2 - Presutti, Valentina
PB - Springer Verlag
CY - Berlin
T2 - Extended Semantic Web Conference
Y2 - 27 May 2012 through 31 May 2012
ER -
