Name
Title | ||
|---|---|---|
Improving similarity measures of relatedness proximity: Toward augmented concept maps |
Abstract | ||
|---|---|---|
•An augmented concept mapping model based on co-occurrence analysis and information extraction is proposed.•A novel method of co-word analysis that utilizes webometrics for improving similarity measure of relatedness proximity.•An automated research instrument that collects a corpus of texts on the web for a spectrum of IT is demonstrated and validated.•A tool capable of presenting a solid and precise picture of a specific knowledge domain in terms of an augmented concept map.•The model contribution is emphasized by the current growing attention to the big data phenomenon. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.joi.2015.06.003 | Journal of Informetrics |
Keywords | Field | DocType |
Augmented concept map,Relatedness proximity,Co-word analysis,Webometrics,Technology assessment | Concept map,Data mining,Search engine,Computer science,Information technology,Decision support system,Technology assessment,Big data,Webometrics | Journal |
Volume | Issue | ISSN |
9 | 3 | 1751-1577 |
Citations | PageRank | References |
2 | 0.41 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elan Sasson | 1 | 8 | 1.90 |
| Gilad Ravid | 2 | 506 | 46.43 |
| Nava Pliskin | 3 | 399 | 51.92 |