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Semantics-Based Cross-domain Collaboration Recommendation in the Life Sciences: Preliminary Results

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Thomas C. RindfleschAuthors Info & Claims

ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

Pages 805 - 806

https://doi.org/10.1145/2808797.2809300

Published: 25 August 2015 Publication History

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Abstract

In this work we propose a novel approach for semantics-based cross-domain recommendation for research collaboration. First, we construct a large network representing authors, their expertize, current collaborations, and biomedical knowledge in general. We constructed the network from the bibliographic database MEDLINE and from semantic relations extracted from MEDLINE with the SemRep natural language processing system. Then, by using the literature-based discovery paradigm, we recommend novel collaborations, which include not only pairs of authors, but also novel topics for collaboration and an explanation why the collaboration makes sense.

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D. Hristovski, T. Rindflesch, and B. Peterlin, "Using literature-based discovery to identify novel therapeutic approaches," Cardiovascular & Hematological Agents in Medicinal Chemistry, vol. 11, no. 1, 2013, pp. 14--24.

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H. Kilicoglu, D. Shin, M. Fiszman, G. Rosemblat, and T. C. Rindflesch, "SemMedDB: a -scale repository of biomedical semantic predications." Bioinformatics, vol. 28, no. 23, 2012, pp. 3158--60.

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D. Hristovski, C. Friedman, T. C. Rindflesch, and B. Peterlin, "Exploiting semantic relations for literature-based discovery." AMIA Annual Symposium proceedings, 2006, pp. 349--53.

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Zhang ZPatra BYaseen AZhu JSabharwal RRoberts KCao TWu H(2023)Scholarly recommendation systems: a literature surveyKnowledge and Information Systems10.1007/s10115-023-01901-x65:11(4433-4478)Online publication date: 4-Jun-2023
https://doi.org/10.1007/s10115-023-01901-x
Kastrin AHristovski D(2021)Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)Scientometrics10.1007/s11192-020-03811-zOnline publication date: 3-Jan-2021
https://doi.org/10.1007/s11192-020-03811-z
Crichton GBaker SGuo YKorhonen A(2020)Neural networks for open and closed Literature-based DiscoveryPLOS ONE10.1371/journal.pone.023289115:5(e0232891)Online publication date: 15-May-2020
https://doi.org/10.1371/journal.pone.0232891
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Semantics-Based Cross-domain Collaboration Recommendation in the Life Sciences: Preliminary Results
1. Applied computing
  1. Life and medical sciences
2. Information systems
  1. Information systems applications

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ASONAM '15: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

August 2015

835 pages

ISBN:9781450338547

DOI:10.1145/2808797

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 25 August 2015

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ASONAM '15: Advances in Social Networks Analysis and Mining 2015

August 25 - 28, 2015

Paris, France

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Zhang ZPatra BYaseen AZhu JSabharwal RRoberts KCao TWu H(2023)Scholarly recommendation systems: a literature surveyKnowledge and Information Systems10.1007/s10115-023-01901-x65:11(4433-4478)Online publication date: 4-Jun-2023
https://doi.org/10.1007/s10115-023-01901-x
Kastrin AHristovski D(2021)Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)Scientometrics10.1007/s11192-020-03811-zOnline publication date: 3-Jan-2021
https://doi.org/10.1007/s11192-020-03811-z
Crichton GBaker SGuo YKorhonen A(2020)Neural networks for open and closed Literature-based DiscoveryPLOS ONE10.1371/journal.pone.023289115:5(e0232891)Online publication date: 15-May-2020
https://doi.org/10.1371/journal.pone.0232891
Nazarenko ASarraipa JCamarinha-Matos LGarcia OJardim-Goncalves R(2019)Semantic Data Management for a Virtual Factory Collaborative EnvironmentApplied Sciences10.3390/app92249369:22(4936)Online publication date: 16-Nov-2019
https://doi.org/10.3390/app9224936
Henry SMcInnes B(2017)Literature Based DiscoveryJournal of Biomedical Informatics10.1016/j.jbi.2017.08.01174:C(20-32)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1016/j.jbi.2017.08.011

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Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information

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