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About 10,000 papers for “Web intelligence”

Web intelligence

Zhong, Ning, Liu, Jiming, Yao, Yiyu · CERN Document Server (European Organization for Nuclear Research) · 2003

Cited by 0

Web intelligence

Nigel Shadbolt · ITNOW · 2005

With only a tiny percentage of users ‘trained’ in any way to use the world spanning human construct that is a truly disruptive technology – there are new opportunities to be gained from use of the World Wide Web.

Cited by 0

Web annotation for web intelligence

Ichsan Tamsir Putra · DR-NTU (Nanyang Technological University) · 2007

Internet, through the World Wide Web, has become a new source of information. Information can be searched and gathered with various ways, ranging from the most primitive one like copy and paste to sophisticated tool such as Web Annotation. The available web annotation tools are mostly designed for human communication and inference of automatic computer agents. These designs may not be appropriate in information gathering for intelligence reporting, or the so-called Web Intelligence. A Web Intelligence system provides a summary of the overall situation and can be used to answer questions relating to business intelligence. Web Annotation for Web Intelligence (WAWI) is designed with the requirements above as the basis. It is also a context-aware Web annotation system where the annotation schema can be seen as metadata and it provides the mechanism to relate the metadata and the content of web document.

Cited by 0

Web Intelligence and Artificial Intelligence

Yasufumi Takama · Journal of Advanced Computational Intelligence and Intelligent Informatics · 2017

This paper briefly summarizes the progress of artificial intelligence (AI) and web intelligence (WI) in the last two decades. The reason why we mention AI and WI together is because those have strong relationship with each other. This paper first summarizes the history of AI, and then gives brief description of supervised learning, which I think has played a major role in AI in the last two decades. As most history of WI is in the target decades, this paper first briefly describes major WI topics, and then gives more detailed description about information recommendation, which I think one of more successful and necessary technologies in practical use.

Cited by 0Open access

Scientific Web Intelligence

Mike Thelwall · IGI Global eBooks · 2009

Scientific Web Intelligence (SWI) is a research field that combines techniques from data mining, web intelligence and scientometrics to extract useful information from the links and text of academic-related web pages, using various clustering, visualization and counting techniques. Its origins lie in previous scientometric research into mining offline academic data sources such as journal citation databases, in contrast to Web Science, which focuses on engineering an effective Web (Berners-Lee et al., 2006). Typical scientometric objectives are either evaluative: assessing the impact of research; or relational: identifying patterns of communication within and between research fields. From scientometrics, SWI also inherits a need to validate its methods and results so that the methods can be justified to end-users and the causes of the results can be found and explained.

Cited by 0

Emergent Web Intelligence

Dominique Decouchant, Sonia Mendoza, Jorge Rodríguez · HAL (Le Centre pour la Communication Scientifique Directe) · 2009

Cited by 7

Computational Web Intelligence (CWI): synergy of computational intelligence and Web technology

Yanqing Zhang, Tzu-Yu Lin · 2003

With explosive growth of e-Business on the Internet, and wireless networks, users face more and more challenging network-based application problems in terms of intelligent e-Applications. To increase the QoI (Quality of Intelligence) of e-Business, we propose a new research area called Computational Web Intelligence (CWI) based on both computational intelligence (CI) and Web technology (WT). Generally, the intelligent e-brainware using CWI techniques plays an important role in smart e-Business. Fundamental concepts, basic methods, major applications and future trends of CWI are described to briefly show a general framework of CWI from different aspects.

Cited by 24

Intelligence on the Web?

Mia Stern, Beverly Park Woolf, James F. Kurose · 1997

. This paper describes a courseware system delivered over the World Wide Web for transforming existing video-taped courses. The on-line courses take advantage of the interactivity and the individualized instruction of intelligent tutoring systems. They use synchronized audio and HTML slides to present material to the student. An overlay student model records a student's ability on each topic in the system, determined by which slides the student has seen and quizzes he has taken. This model is then used to help guide the student through the material, to provide interactive and adaptive quizzes, and to prefetch course material before it is explicitly requested, reducing the delays seen by the student. The first goal is accomplished by using adaptive hypertext techniques including adaptive navigation support and adaptive presentation. The second goal is achieved by dynamically constructing quizzes at the correct level of difficulty for the student. The third goal is accomplishe...

Cited by 0

Advances in Web Intelligence

Janusz Kacprzyk, Piotr S. Szczepaniak, Adam Niewiadomski et al. · Lecture notes in computer science · 2005

Cited by 14