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GEORDi: Supporting lightweight end-user authoring and exploration of Linked Data

GEORDi: Supporting lightweight end-user authoring and exploration of Linked Data
GEORDi: Supporting lightweight end-user authoring and exploration of Linked Data
The US and UK governments have recently made much of the data created by their various departments available as data sets (often as csv files) available on the web. Known as ”open data” while these are valuable assets, much of this data remains useless because it is effectively inaccessible for citizens to access for the following reasons: (1) it is often a tedious, many step process for citizens simply to find data relevant to a query. Once the data candidate is located, it often must be downloaded and opened in a separate application simply to see if the data that may satisfy the query is contained in it. (2) It is difficult to join related data sets to create richer integrated information (3) it is particularly difficult to query either a single data set, and even harder to query across related data sets. (4) To date, one has had to be well versed in semantic web protocols like SPARQL, RDF and URI formation to integrate and query such sources as reusable linked data. Our goal has been to develop tools that will let regular, non-programmer web citizens make use of this Web of Data. To this end, we present GEORDi, a set of integrated tools and services that lets citizen users identify, explore, query and represent these open data sources over the web via Linked Data mechanisms. In this paper we describe the GEORDi process of authoring new and translating existing open data in a linkable format, GEORDi’s lens mechanism for rendering rich, plain language descriptions and views of resources, and the GEORDI link-sliding paradigm for data exploration. With these tools we demonstrate that it is possible to make the Web of open (and linked) data accessible for ordinary web citizen users.
s.n.
Popov, Igor
517af6d0-e80b-45fd-89ef-9da71a09bd6f
Smith, Daniel Alexander
8d05522d-e91e-4aa7-8972-e362e73f005c
Van Kleek, Max
4d869656-cd47-4cdf-9a4f-697fa9ba4105
schraefel, monica
ac304659-1692-47f6-b892-15113b8c929f
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Popov, Igor
517af6d0-e80b-45fd-89ef-9da71a09bd6f
Smith, Daniel Alexander
8d05522d-e91e-4aa7-8972-e362e73f005c
Van Kleek, Max
4d869656-cd47-4cdf-9a4f-697fa9ba4105
schraefel, monica
ac304659-1692-47f6-b892-15113b8c929f
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Popov, Igor, Smith, Daniel Alexander, Van Kleek, Max, schraefel, monica, Correndo, Gianluca and Shadbolt, Nigel (2010) GEORDi: Supporting lightweight end-user authoring and exploration of Linked Data s.n. , (In Press)

Record type: Monograph (Project Report)

Abstract

The US and UK governments have recently made much of the data created by their various departments available as data sets (often as csv files) available on the web. Known as ”open data” while these are valuable assets, much of this data remains useless because it is effectively inaccessible for citizens to access for the following reasons: (1) it is often a tedious, many step process for citizens simply to find data relevant to a query. Once the data candidate is located, it often must be downloaded and opened in a separate application simply to see if the data that may satisfy the query is contained in it. (2) It is difficult to join related data sets to create richer integrated information (3) it is particularly difficult to query either a single data set, and even harder to query across related data sets. (4) To date, one has had to be well versed in semantic web protocols like SPARQL, RDF and URI formation to integrate and query such sources as reusable linked data. Our goal has been to develop tools that will let regular, non-programmer web citizens make use of this Web of Data. To this end, we present GEORDi, a set of integrated tools and services that lets citizen users identify, explore, query and represent these open data sources over the web via Linked Data mechanisms. In this paper we describe the GEORDi process of authoring new and translating existing open data in a linkable format, GEORDi’s lens mechanism for rendering rich, plain language descriptions and views of resources, and the GEORDI link-sliding paradigm for data exploration. With these tools we demonstrate that it is possible to make the Web of open (and linked) data accessible for ordinary web citizen users.

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More information

Accepted/In Press date: 29 October 2010
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 271968
URI: https://eprints.soton.ac.uk/id/eprint/271968
PURE UUID: c4071b03-7f2e-4a02-9858-bd6d31f8a668
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759

Catalogue record

Date deposited: 31 Jan 2011 13:34
Last modified: 06 Jun 2018 12:39

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Contributors

Author: Igor Popov
Author: Daniel Alexander Smith
Author: Max Van Kleek
Author: monica schraefel
Author: Gianluca Correndo ORCID iD
Author: Nigel Shadbolt

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