Semantometrics: Towards fulltext-based research evaluation

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

Volumn 2016-September, Issue , 2016, Pages 235-236

  Herrmannova, Drahomira ^a   Knoth, Petr ^a  

^a International Society of the Built Environment (ISBE)   (United Kingdom)

Author keywords

Citation Analysis; Research Evaluation; Text Mining

Indexed keywords

DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

BIBLIOMETRIC; CITATION ANALYSIS; COMPARATIVE STUDIES; RESEARCH EVALUATION; RESEARCH PERFORMANCE; SEMANTIC SIMILARITY; TEXT MINING;

DIGITAL LIBRARIES;

EID: 84989935422     PISSN: 15525996     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2910896.2925448     Document Type: Conference Paper

References (4)

1. P. Knoth and D. Herrmannova. Towards Semantometrics: A New Semantic Similarity Based Measure for Assessing a Research Publication's Contribution. D-Lib Magazine, 20 (11/12), 2014.
2. C. Schlögl, J. Gorraiz, C. Gumpenberger, K. Jack, and P. Kraker. Are downloads and readership data a substitute for citations the case of a scholarly journal. LIDA Proceedings, 13, 2014.
3. P. O. Seglen. The Skewness of Science. JASIS, 43 (9): 628-638, oct 1992.
4. A. Sinha, Z. Shen, Y. Song, H. Ma, D. Eide, B.-j. P. Hsu, and K. Wang. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of WWW 2015, pages 243-246, Florence, Italy, 2015. ACM Press