A Framework for Web Science

By W. Hall, J. Hendler, K. O’Hara, Nigel R. Shadbolt, D. Weitzner. Foundations and Trends® in Web Science, 2006

370 citations recorded by the source corpus.

This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development. These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P. Analytic approaches to discover the Web's topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/432e622a77bd1df36ac10fd490b5d1b366714007

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yolanda Gil
2. Yunchuan Sun
3. A. Jara
4. Donovan Artz
5. Houbing Song

In Computer Networks and Communications

1. Rongfang Bie
2. Yolanda Gil
3. Yunchuan Sun
4. A. Jara
5. Donovan Artz
6. Houbing Song

In Information Systems

1. Yolanda Gil
2. Yunchuan Sun
3. Donovan Artz
4. Houbing Song

Citations in the corpus

• A survey of trust in computer science and the Semantic Web (2007, background): “The Semantic Web stack [3] [4] has included all along a trust layer to assimilate the ontology, rules, logic, and proof layers .”
• Internet of Things and Big Data Analytics for Smart and Connected Communities (2016, background): “The main characteristic for these technologies is to represent all elements by adding some marked label to annotate corresponding meaning [30] to overcome the semantic-lacking limitation of traditional data models[31].”