Home // DBKDA 2016, The Eighth International Conference on Advances in Databases, Knowledge, and Data Applications // View article
Authors:
Dimitar Hristovski
Andrej Kastrin
Thomas C. Rindflesch
Keywords: Research collaboration; Recommendation system; Literature-based discovery; Semantic MEDLINE; Graph database; Neo4j
Abstract:
We describe a novel approach for cross-domain recommendation for research collaboration. We first constructed a large Neo4j graph database representing authors, their expertise, current collaborations, and general biomedical knowledge. This information comes from MEDLINE and from semantic relations extracted with SemRep. Then, by using an extended literature-based discovery paradigm, implemented with the Cypher graph query language, we recommend novel collaborations, which include author pairs, along with novel topics for collaboration and motivation for that collaboration.
Pages: 94 to 96
Copyright: Copyright (c) IARIA, 2016
Publication date: June 26, 2016
Published in: conference
ISSN: 2308-4332
ISBN: 978-1-61208-486-2
Location: Lisbon, Portugal
Dates: from June 26, 2016 to June 30, 2016