ResEval Mash: A mashup tool for advanced research evaluation

Muhammad Imran, Felix Kling, Stefano Soi, Florian Daniel, Fabio Casati, Maurizio Marchese

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

11 Цитирования (Scopus)

Аннотация

In this demonstration, we present ResEval Mash, a mashup platform for research evaluation, i.e., for the assessment of the productivity or quality of researchers, teams, institutions, journals, and the like - a topic most of us are acquainted with. The platform is specifically tailored to the need of sourcing data about scientific publications and researchers from the Web, aggregating them, computing metrics (also complex and ad-hoc ones), and visualizing them. ResEval Mash is a hosted mashup platform with a clientside editor and runtime engine, both running inside a common web browser. It supports the processing of also large amounts of data, a feature that is achieved via the sensible distribution of the respective computation steps over client and server. Our preliminary user study shows that ResEval Mash indeed has the power to enable domain experts to develop own mashups (research evaluation metrics); other mashup platforms rather support skilled developers. The reason for this success is ResEval Mash's domain-specificity. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Язык оригиналаАнглийский
Название основной публикацииWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
Страницы361-364
Число страниц4
DOI
СостояниеОпубликовано - 2012
Опубликовано для внешнего пользованияДа
Событие21st Annual Conference on World Wide Web, WWW'12 - Lyon, Франция
Продолжительность: 16 апр 201220 апр 2012

Конференция

Конференция21st Annual Conference on World Wide Web, WWW'12
СтранаФранция
ГородLyon
Период16.4.1220.4.12

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Цитировать

    Imran, M., Kling, F., Soi, S., Daniel, F., Casati, F., & Marchese, M. (2012). ResEval Mash: A mashup tool for advanced research evaluation. В WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion (стр. 361-364) https://doi.org/10.1145/2187980.2188049