Creating a spatio-temporal “Data Feed” API for a large and diverse library of historical statistics for areas within Britain

Humphrey Richard Southall; Michael John Stoner

Creating a spatio-temporal “Data Feed” API for a large and diverse library of historical statistics for areas within Britain

Humphrey Richard Southall, Michael John Stoner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

The GB Historical GIS holds 14m. diverse statistical data values in a uniform structure linked to a geospatial ontology of reporting units and a domain ontology of statistical concepts. This paper describes the addition of a Linked Data API enabling programmatic access to this “big data” structure and discusses topical and spatial sub-setting.

Original language	English
Title of host publication	GIS Research UK 2015 (GISRUK2015)
Number of pages	4
Publication status	Published - 7 Jun 2015
Event	GISRUK - University of Durham, Durham Duration: 1 Jan 2009 → …

Conference

Conference	GISRUK
City	University of Durham, Durham
Period	1/01/09 → …

Keywords

Social statistics
Open Linked Data
Datacube Vocabulary
Historical GIS
RCUK
AHRC
AH/L01002X/1

Access to Document

GISRUK_2015_API_Paper_June_2015Accepted author manuscript (Post-print), 475 KBLicence: CC BY

1 Finished
1 Active

VoB: A Vision of Britain through Time
Southall, H. (PI) & Aucott, P. (CoI)
Joint Information Systems Committee (JISC)
1/10/01 → …
Project: Research

File
Frameworks and tools for statistical big data in the humanities
Southall, H. (PI), Aucott, P. (CoI), Stoner, M. (CoI) & Westwood, J. (CoI)
1/01/14 → 31/03/15
Project: Research

Cite this

@inproceedings{bb8280ec1f7e432a9ec3729bfebcc53e,

title = "Creating a spatio-temporal “Data Feed” API for a large and diverse library of historical statistics for areas within Britain",

abstract = "The GB Historical GIS holds 14m. diverse statistical data values in a uniform structure linked to a geospatial ontology of reporting units and a domain ontology of statistical concepts. This paper describes the addition of a Linked Data API enabling programmatic access to this “big data” structure and discusses topical and spatial sub-setting.",

keywords = "Social statistics, Open Linked Data, Datacube Vocabulary, Historical GIS, RCUK, AHRC, AH/L01002X/1",

author = "Southall, {Humphrey Richard} and Stoner, {Michael John}",

year = "2015",

month = jun,

day = "7",

language = "English",

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note = "GISRUK ; Conference date: 01-01-2009",

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AU - Stoner, Michael John

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N2 - The GB Historical GIS holds 14m. diverse statistical data values in a uniform structure linked to a geospatial ontology of reporting units and a domain ontology of statistical concepts. This paper describes the addition of a Linked Data API enabling programmatic access to this “big data” structure and discusses topical and spatial sub-setting.

AB - The GB Historical GIS holds 14m. diverse statistical data values in a uniform structure linked to a geospatial ontology of reporting units and a domain ontology of statistical concepts. This paper describes the addition of a Linked Data API enabling programmatic access to this “big data” structure and discusses topical and spatial sub-setting.

KW - Social statistics

KW - Open Linked Data

KW - Datacube Vocabulary

KW - Historical GIS

KW - RCUK

KW - AHRC

KW - AH/L01002X/1

M3 - Conference contribution

BT - GIS Research UK 2015 (GISRUK2015)

T2 - GISRUK

Y2 - 1 January 2009

ER -

Creating a spatio-temporal “Data Feed” API for a large and diverse library of historical statistics for areas within Britain

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

VoB: A Vision of Britain through Time

Frameworks and tools for statistical big data in the humanities

Cite this