The University of Southampton
University of Southampton Institutional Repository

Data Picking Linked Data: Enabling Users to create Faceted Browsers

Data Picking Linked Data: Enabling Users to create Faceted Browsers
Data Picking Linked Data: Enabling Users to create Faceted Browsers
Despite the massive amount of data on the Web in Linked Data format it remains, however, difficult to explore, aggregate and consume this data. The access barrier is particularly higher for users with little or no technical experience. End users, with a vested interest in data but little technical expertise, typically rely on simple tools, such as spreadsheets, to store and analyze data. On the other side, publishers can’t always model or republish their data to appeal to every particular user group. In this paper we report on our attempt to lower this barrier. We suggest that both parties, publishers and users, can benefit from tools which allow them to quickly exchange data by (1) allowing the publisher to quickly mash up slices of different sources of data centered around a Despite the massive amount of data on the Web in Linked Data format it remains, however, difficult to explore, aggregate and consume this data. The access barrier is particularly higher for users with little or no technical experience. End users, with a vested interest in data but little technical expertise, typically rely on simple tools, such as spreadsheets, to store and analyze data. On the other side, publishers can’t always model or republish their data to appeal to every particular user group. In this paper we report on our attempt to lower this barrier. We suggest that both parties, publishers and users, can benefit from tools which allow them to quickly exchange data by (1) allowing the publisher to quickly mash up slices of different sources of data centered around a particular topic of user interest and (2) allow the user to manipulate facets of this data and export it in a familiar format. To facilitate this we employ the Data Picker, a tool for the mSpace faceted browser that allows publishers of Linked Data to quickly set up a faceted explorer from multiple data sources, which employ a SPARQL endpoint. One of main advantages of this approach is that it is easy to assemble a spreadsheet from several different sources thus utilizing the integrative properties of Linked Data while outputting it in a format familiar to the end user. Once the faceted browser is set up around a particular subject, the user is free to manipulate the fields by selecting the facets and subsequently generate the spreadsheet, allowing the user to carry on additional tasks. We tested the tool on our dataset of UK Public Sector Information (PSI) Linked Data using a number of test scenarios, which we set up as interesting questions requiring multiple sources of data to answer.
User Interfaces, Linked Data, Semantic Web, Faceted Browsing, Web Science
Smith, Daniel Alexander
8d05522d-e91e-4aa7-8972-e362e73f005c
Popov, Igor
517af6d0-e80b-45fd-89ef-9da71a09bd6f
schraefel, mc
ac304659-1692-47f6-b892-15113b8c929f
Smith, Daniel Alexander
8d05522d-e91e-4aa7-8972-e362e73f005c
Popov, Igor
517af6d0-e80b-45fd-89ef-9da71a09bd6f
schraefel, mc
ac304659-1692-47f6-b892-15113b8c929f

Smith, Daniel Alexander, Popov, Igor and schraefel, mc (2010) Data Picking Linked Data: Enabling Users to create Faceted Browsers At Web Science Conference 2010, United States. 26 - 27 Apr 2010.

Record type: Conference or Workshop Item (Poster)

Abstract

Despite the massive amount of data on the Web in Linked Data format it remains, however, difficult to explore, aggregate and consume this data. The access barrier is particularly higher for users with little or no technical experience. End users, with a vested interest in data but little technical expertise, typically rely on simple tools, such as spreadsheets, to store and analyze data. On the other side, publishers can’t always model or republish their data to appeal to every particular user group. In this paper we report on our attempt to lower this barrier. We suggest that both parties, publishers and users, can benefit from tools which allow them to quickly exchange data by (1) allowing the publisher to quickly mash up slices of different sources of data centered around a Despite the massive amount of data on the Web in Linked Data format it remains, however, difficult to explore, aggregate and consume this data. The access barrier is particularly higher for users with little or no technical experience. End users, with a vested interest in data but little technical expertise, typically rely on simple tools, such as spreadsheets, to store and analyze data. On the other side, publishers can’t always model or republish their data to appeal to every particular user group. In this paper we report on our attempt to lower this barrier. We suggest that both parties, publishers and users, can benefit from tools which allow them to quickly exchange data by (1) allowing the publisher to quickly mash up slices of different sources of data centered around a particular topic of user interest and (2) allow the user to manipulate facets of this data and export it in a familiar format. To facilitate this we employ the Data Picker, a tool for the mSpace faceted browser that allows publishers of Linked Data to quickly set up a faceted explorer from multiple data sources, which employ a SPARQL endpoint. One of main advantages of this approach is that it is easy to assemble a spreadsheet from several different sources thus utilizing the integrative properties of Linked Data while outputting it in a format familiar to the end user. Once the faceted browser is set up around a particular subject, the user is free to manipulate the fields by selecting the facets and subsequently generate the spreadsheet, allowing the user to carry on additional tasks. We tested the tool on our dataset of UK Public Sector Information (PSI) Linked Data using a number of test scenarios, which we set up as interesting questions requiring multiple sources of data to answer.

PDF DataPicker.pdf - Accepted Manuscript
Download (1MB)

More information

Published date: 29 March 2010
Additional Information: Event Dates: 26-27 April, 2010
Venue - Dates: Web Science Conference 2010, United States, 2010-04-26 - 2010-04-27
Keywords: User Interfaces, Linked Data, Semantic Web, Faceted Browsing, Web Science
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 270804
URI: http://eprints.soton.ac.uk/id/eprint/270804
PURE UUID: 151e2e96-0915-43c3-9d3f-1a712da12ea2

Catalogue record

Date deposited: 04 Apr 2010 08:37
Last modified: 18 Jul 2017 06:51

Export record

Contributors

Author: Daniel Alexander Smith
Author: Igor Popov
Author: mc schraefel

University divisions

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.

×