Web Observatory Insights

Author:

Aljohani Naif Radi1,Abbasi Rabeeh Ayaz2,Bawakid Fahad Mohammed3,Saleem Farrukh1ORCID,Ullah Zahid1,Daud Ali4,Aslam Muhammad Ahtisham1,Alowibdi Jalal S.5,Hassan Saeed-Ul6

Affiliation:

1. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

2. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia & Department of Computer Sciences, Quaid-i-Azam University, Islamabad, Pakistan

3. Electronics and Computer Science, University of Southampton, UK

4. Department of Computer Science and Software Engineering, IIU, Islamabad, Pakistan

5. Faculty of Computing and Information Technology, University of Jeddah, Jeddah, Saudi Arabia

6. Information Technology University, Pakistan

Abstract

In the present era of Big Data, with continuously increasing amounts of user-generated content, it is becoming a challenge to understand the relation between the content that is available on the Web and the users who are generating that content. Researchers have come up with many ways to understand today's Web better. One of the recently introduced concepts is a Web observatory (WO). This article provides a deep understanding about web observatories. It discusses the status of existing WO systems. The article investigates and gathers the common practices of WOs. This research has implications for researchers and communities in the adoption of the WO concept. The article highlights the challenges of WOs, such as data crawling, privacy and security. It also provides future research and development directions. The article provides a comparative analysis of existing WOs. It discusses the architecture of WOs. It presents components of a WO in a coherent manner and finally provides insights into challenges and limitations of WOs.

Publisher

IGI Global

Subject

Computer Networks and Communications,Information Systems

Reference33 articles.

1. Saving lives using social media: Analysis of the role of twitter for personal blood donation requests and dissemination

2. A framework for portal implementation: A case for Saudi organizations

3. A Generic Framework for Adding Semantics to Digital Libraries;M. A.Aslam;On the Move to Meaningful Internet Systems: OTM 2016 Workshops. OTM 2016,2016

4. The economics of data

5. From search to observation

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