The University of Southampton
University of Southampton Institutional Repository

Observlets: empowering analytical observations on web observatory

Observlets: empowering analytical observations on web observatory
Observlets: empowering analytical observations on web observatory
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 fail to understand various transformations and consequences of complex data processing involved in a data analytic application. Therefore, there is a need to enable these users develop and re-use analytic applications on web observatory. In this study, we propose formal design patterns called "Observlets" for analytic applications to "observe" various web phenomena. The observlets provide abstract definitions for intermediate analysis required for a data analytic application. The users can share observlets across distributed web observatory nodes. The observlets are aimed to enhance end-users' awareness and engagement on web observatory and support programmers for innovating various data analytic applications
analytic applications, design patterns, infrastructure support, user-engagement, web observatory
775-780
Madaan, Aastha
3b5d5010-aa6c-4412-80a4-31d57a270776
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Srinivasa, Srinath
b4e35d32-beae-4c6e-a4f8-3ee56e75d648
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Madaan, Aastha
3b5d5010-aa6c-4412-80a4-31d57a270776
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Srinivasa, Srinath
b4e35d32-beae-4c6e-a4f8-3ee56e75d648
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c

(2016) Observlets: empowering analytical observations on web observatory. Proceedings of the 25th International Conference Companion on World Wide Web, Canada. 11 - 15 Apr 2016. pp. 775-780 . (doi:10.1145/2872518.2890593).

Record type: Conference or Workshop Item (Paper)

Abstract

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 fail to understand various transformations and consequences of complex data processing involved in a data analytic application. Therefore, there is a need to enable these users develop and re-use analytic applications on web observatory. In this study, we propose formal design patterns called "Observlets" for analytic applications to "observe" various web phenomena. The observlets provide abstract definitions for intermediate analysis required for a data analytic application. The users can share observlets across distributed web observatory nodes. The observlets are aimed to enhance end-users' awareness and engagement on web observatory and support programmers for innovating various data analytic applications

Other
p775-madaan.pdf_ip=152.78.1.65&id=2890593&acc=ACTIVE SERVICE&key=BF07A2EE685417C5.A13CBF7F1C3C7DF4.4D4702B0C3E38B35.4D4702B0C3E38B35&CFID=850808655&CFTOKEN=43031802&__acm__=1476185129_35e711004d6e85be8257bc460b73ae98 - Accepted Manuscript
Restricted to Registered users only
Download (423kB)
Request a copy

More information

Accepted/In Press date: 31 January 2016
Published date: 11 April 2016
Venue - Dates: Proceedings of the 25th International Conference Companion on World Wide Web, Canada, 2016-04-11 - 2016-04-15
Keywords: analytic applications, design patterns, infrastructure support, user-engagement, web observatory
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 401419
URI: http://eprints.soton.ac.uk/id/eprint/401419
PURE UUID: 0ba2a3db-76e5-46d9-ace6-2abb2e6953e6
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 13 Oct 2016 10:48
Last modified: 06 Jun 2018 13:20

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×