Authors:
Giseli Rabello Lopes
1
;
Bernardo Pereira Nunes
2
;
Luiz André P. Paes Leme
3
;
Terhi Nurmikko-Fuller
4
and
Marco A. Casanova
2
Affiliations:
1
Federal University of Rio de Janeiro, Brazil
;
2
Pontifical Catholic University of Rio de Janeiro, Brazil
;
3
Fluminense Federal University, Brazil
;
4
Oxford University, United Kingdom
Keyword(s):
Conference Analysis, Statistical Analysis, Bibliometrics, Social Network Analysis, WEBIST Analysis, Linked Data.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Communities of Interest
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Web Information Systems and Technologies
Abstract:
Over the last ten years, members of the WEBIST community have dedicated their time and efforts to face
a number of research challenges, making significant advances in Information Systems and pointing to new
directions for innovation and learning. After ten successful WEBIST conferences and several scientific publications,
an extensive analysis of the WEBIST conferences has been carried out (involving authors, publications,
conference impact, topics coverage, community analysis and other aspects) to possibly assist us to
further advance Information Systems. Thus, in this paper, we present an in-depth analysis of the last ten
WEBIST conferences based on social network analysis, bibliometrics and statistical measures and describe a
Web-based application built on top of triplified datasets to interactively explore the findings and possibly assist
the Information Systems community to reveal new directions.