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Our understanding of the web has been evolving from a large database of information to a Socio - Cognitive Space, where humans are not just using the web but participating in the web. World wide web has evolved into the largest source of information in ...

With large number of datasets now available through the Web, data-sharing ecosystems such as the Web Observatory have emerged. The Web Observatory provides an active decentralised ecosystem for datasets and applications based on a number Web Observatory ...

In this position paper we wish to propose and discuss several open research questions associated with the IoT. In particular, we wish to consider how crowdsourcing can be used as a scalable, reliable, and sustainable approach to support various ...

Data is the new capital of the global economy and data analysis can increase efficiency and reduce costs for innovation. Finding and accessing both public and private data is essential to exploiting this data capital. In this paper we describe a ...

In this paper, we consider the ethical and legal context and challenges for the further development of Web Observatories (WOs). First the need for and importance of a transparent and robust legal and ethical framework that can be adopted by WOs is ...

Online/offline community (O/OC), the integrated performance of community in a blend of online/offline activities is increasingly prevalent as online systems organise, mediate and broadcast forms of communal engagement. O/OCs are social machines where ...

The Web observatory is proposed as a global catalogue for sharing data-sets and analytic applications to support researchers from a variety of disciplines for analysing huge amount of research data for Web Science research. However, often these users ...

Human-generated content on the Web has increased over the last decade. In part, this situation has been powered by the proliferation of social networking services and mobile computing. In the context of citizen safety, everyday people share information ...

Over the past years, streaming Web services have become popular, with many of the top Web platforms now offering near real-time streams of user and machine activity. In light of this, Web Observatories now are faced with the challenge of being able to ...

General human intelligence is needed in order to process Linked Open Data (LOD). On the Semantic Web (SW), content is intended to be machine-processable as well. But the extent to which a machine is able to navigate, access, and process the SW has not ...

This paper outlines some challenges for the Web Observatory vision with reference to field notes from a student exchange and research collaboration in December 2013 between the University of Southampton, Tsinghua University and KAIST. These field notes ...

This paper discusses the challenges and opportunities for using archival Internet data in order to observe a host of social science phenomena. Specifically, this paper introduces HistoryTracker, a new tool for accessing and extracting archived data from ...

In this paper, we propose an initial structure to support a taxonomy for Web Observatories (WO). The work is based on a small sample of cases drawn from the work of the Web Science Trust and the Web Science Institute and reflects aspects of academic, ...

Web Observatories use innovative analytic processes to gather insights from observed data and use the Web as a platform for publishing interactive data visualisations. Recordable events associated with interactivity on the Web provide an opportunity to ...

This paper explores the impact of health information technologies, including the Web, on society and advocates for the development of a Health Web Observatory (HWO) to collect, store and analyze new sources of health information. The paper begins with a ...

The multi-disciplinary nature of Web Science and the large size and diversity of data collected and studied by its practitioners has inspired a new type of Web resource known as the Web Observatory. Web observatories are platforms that enable ...

Web Observatories must address fundamental societal challenges using enormous volumes of data being created due to the significant progress in technology. The proliferation of heterogeneous data streams generated by social media, sensor networks, ...

The broad adoption of online social networking platforms has made it possible to study communication networks at an unprecedented scale. With social media and micro-blogging platforms such as Twitter, we can observe high-volume data streams of online ...

We present the Koblenz Network Collection (KONECT), a project to collect network datasets in the areas of web science, network science and related areas, as well as provide tools for their analysis. In the cited areas, a surprisingly large number of very ...

A microblogging service like Twitter continues to surge in importance as a means of sharing information in social networks. In the medical domain, several works have shown the potential of detecting public health events (i.e., infectious disease ...