Exploration in web science: Instruments for web observatories

Marie Joan Kristine Gloria; Deborah L. McGuinness; Joanne S. Luciano; Qingpeng Zhang

Exploration in web science: Instruments for web observatories

Marie Joan Kristine Gloria, Deborah L. McGuinness, Joanne S. Luciano, Qingpeng Zhang

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

The following contribution highlights selected work conducted by Rensselaer Polytechnic Institute's Web Science Research Center. (RPI WSRC). Specifically, it brings to light four different themed Web Observatories - Science Data, Health and Life Sciences, Open Government, and Social Spaces. Each of these observatories serves as a repository of data, tools, and methods that help answer complicated questions in each of these research areas. We present six case studies featuring tools and methods developed by RPI WSRC to aide in the exploration, discovery, and analysis of large data sets. These case studies along with our web observatory developments are aimed to increase our understanding of web science in general and to serve as test beds for our research.

Original language	English
Title of host publication	WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web
Pages	1325-1327
Publication status	Published - 2013
Externally published	Yes
Event	22nd International Conference on World Wide Web (WWW 2013) - Rio de Janeiro, Brazil Duration: 13 May 2013 → 17 May 2013

Conference

Conference	22nd International Conference on World Wide Web (WWW 2013)
Abbreviated title	WWW'13
Place	Brazil
City	Rio de Janeiro
Period	13/05/13 → 17/05/13

Research Keywords

Linked data
Methods
Semantic technologies
Web observatory

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{bad51767f031430e88078c71b20a4d8d,

title = "Exploration in web science: Instruments for web observatories",

abstract = "The following contribution highlights selected work conducted by Rensselaer Polytechnic Institute's Web Science Research Center. (RPI WSRC). Specifically, it brings to light four different themed Web Observatories - Science Data, Health and Life Sciences, Open Government, and Social Spaces. Each of these observatories serves as a repository of data, tools, and methods that help answer complicated questions in each of these research areas. We present six case studies featuring tools and methods developed by RPI WSRC to aide in the exploration, discovery, and analysis of large data sets. These case studies along with our web observatory developments are aimed to increase our understanding of web science in general and to serve as test beds for our research.",

keywords = "Linked data, Methods, Semantic technologies, Web observatory",

author = "Gloria, {Marie Joan Kristine} and McGuinness, {Deborah L.} and Luciano, {Joanne S.} and Qingpeng Zhang",

year = "2013",

language = "English",

isbn = "9781450320382",

pages = "1325--1327",

booktitle = "WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web",

note = "22nd International Conference on World Wide Web (WWW 2013), WWW'13 ; Conference date: 13-05-2013 Through 17-05-2013",

}

Exploration in web science: Instruments for web observatories. / Gloria, Marie Joan Kristine; McGuinness, Deborah L.; Luciano, Joanne S. et al.
WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web. 2013. p. 1325-1327.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Exploration in web science

T2 - 22nd International Conference on World Wide Web (WWW 2013)

AU - Gloria, Marie Joan Kristine

AU - McGuinness, Deborah L.

AU - Luciano, Joanne S.

AU - Zhang, Qingpeng

PY - 2013

Y1 - 2013

N2 - The following contribution highlights selected work conducted by Rensselaer Polytechnic Institute's Web Science Research Center. (RPI WSRC). Specifically, it brings to light four different themed Web Observatories - Science Data, Health and Life Sciences, Open Government, and Social Spaces. Each of these observatories serves as a repository of data, tools, and methods that help answer complicated questions in each of these research areas. We present six case studies featuring tools and methods developed by RPI WSRC to aide in the exploration, discovery, and analysis of large data sets. These case studies along with our web observatory developments are aimed to increase our understanding of web science in general and to serve as test beds for our research.

AB - The following contribution highlights selected work conducted by Rensselaer Polytechnic Institute's Web Science Research Center. (RPI WSRC). Specifically, it brings to light four different themed Web Observatories - Science Data, Health and Life Sciences, Open Government, and Social Spaces. Each of these observatories serves as a repository of data, tools, and methods that help answer complicated questions in each of these research areas. We present six case studies featuring tools and methods developed by RPI WSRC to aide in the exploration, discovery, and analysis of large data sets. These case studies along with our web observatory developments are aimed to increase our understanding of web science in general and to serve as test beds for our research.

KW - Linked data

KW - Methods

KW - Semantic technologies

KW - Web observatory

UR - http://www.scopus.com/inward/record.url?scp=84893147419&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84893147419&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781450320382

SP - 1325

EP - 1327

BT - WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web

Y2 - 13 May 2013 through 17 May 2013

ER -

Exploration in web science: Instruments for web observatories

Abstract

Conference

Research Keywords

UN SDGs

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this