This paper presents a review of altmetrics or alternative metrics. This concept is defined as the creation and study of new indicators for analysing scientific and academic research activity based onWeb 2.0. The underlying premise is that variables such as mentions in blogs, numberof tweets or saves ofan articleby researchersin reference management systems, may be a valid measure of the use and impactof scientific publications. In this respect,these measuresare becoming particularly relevant, being at the centre of debate within the bibliometric community. Firstly,an explanation is given of the main platforms and indicators for this type of measurement. Subsequently,a study is undertaken of a selection of papers from the field of communication, comparing the number of citations received withtheir 2.0 indicators.The results show that the most cited articles within recent years also have significantly higher altmetric indicators. Next follows a review of the principal empirical studies undertaken, centering on the correlations between bibliometric and alternative indicators. To conclude, the main limitations of altmetrics are highlighted,alongside a reflective consideration of the role altmetrics may play in capturing the impactof research in Web 2.0 platforms.
Our model and set of associated hypotheses focuses on understanding an employee's internal Web 2.0 content behaviors based on non-work, personal use behaviors.
The type-aware and schema-aware features of XSLT 2.0 can greatly assist you when you debug a stylesheet, and improve stylesheet quality and robustness in handling all input data. Learn how to use type-aware and schema-aware XSLT 2.0 during the debugging and testing process to avoid common issues with invalid paths, incorrect assumptions about data types, and cardinalities. Also, find examples of XSLT stylesheets that contain errors that would not be caught if schema-aware features were not in use, and discover how explicitly specifying types results in useful error messages.
An organization dedicated to supporting human liberty and rights of dissident bloggers and Internet activists in the Middle East, highlighting their writings and activities in order to defend their freedom of expression.
Arun Murthy, Release-Manager für Apache Hadoop 2.0, hat eine erste Alphaversion der kommenden Hadoop-Generation veröffentlicht, die unter anderem Hochverfügbarkeit für HDFS bietet und den
AQUA - Automatic Quality Assessment and Feedback in eLearning 2.0
The current development of Web 2.0 makes the distinction between author and reader fading away. Users now produce huge amounts of data which sometimes is of questionable quality. This leads to the problem of information overload: how to make the most of this information without overwhelming the users? One key challenge to solve this issue is to assess the quality of the user generated content.
In AQUA, we seek to develop algorithms to assess the quality of content automatically. We focus on two sources for this assessment: (1) user generated content; (2) feedback by users of the content. To do so, we investigate techniques from the fields of natural language processing (NLP), information retrieval, and machine learning.
So, in a nutshell, AQUA will answer the following questions:
What is quality of information? How does it matter in information search?
How to model the quality of user generated content?
How far can you go with automatic methods in assessing quality?
How to give feedback to users regarding quality?
The AQUA project is associated with the project "Mining Lexical-Semantic Knowledge from Dynamic and Linguistic Sources and Integration into Question Answering for Discourse-Based Knowledge Acquisition in e-learning (QA-EL)".
A video by xardesvives - Aplicaciones educativas de la llamada Web 2.0 o Web Social. Documento elaborado por el Area del Portal Educastur y Servicios Educativos en Línea, de la Consejería de Educación del Principado de Asturias.
A. Brack, A. Hoppe, P. Buschermöhle, and R. Ewerth. JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20 - 24, 2022, page 34. ACM, (2022)
B. Berendt, N. Glance, and A. Hotho (Eds.) Workshop at 18th Europ. Conf. on Machine Learning (ECML'08) / 11th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'08), (2008)