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Project:SPARQL/starters: Difference between revisions
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(Created page with "== Place and Time == One way into the data is through the locations people lived in and when they lived there. This query does that for London in the the 1890s but could be adapted (on lines 17 and 30) to look for other places - or regions - and different dates. <sparql tryit="1"> # Query for women living in (greater) london in the 1890s # 1 row per person per address per date, could be reduced to 1 row per person if preferred. PREFIX bnwd: <https://beyond-notability.w...") |
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== Place and Time == | ==Place and Time== | ||
One way into the data is through the locations people lived in and when they lived there. This query does that for London in the the 1890s but could be adapted (on lines 17 and 30) to look for other places - or regions - and different dates. | One way into the data is through the locations people lived in and when they lived there. This query does that for London in the the 1890s but could be adapted (on lines 17 and 30) to look for other places - or regions - and different dates. | ||
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</sparql> | </sparql> | ||
== Organisational connections == | ==Organisational connections== | ||
This query returns organisations which had women as members, and the number of women in our dataset who were members of those organisations. As such it is a relatively straightforward query. The power of running this query across linked data, however, is in following the links to an organisation of interest (perhaps because they are ranked surprisingly high or low in our data) and then seeing who were members of that organisation by hitting the 'What Links Here' link on the organisation item page. | This query returns organisations which had women as members, and the number of women in our dataset who were members of those organisations. As such it is a relatively straightforward query. The power of running this query across linked data, however, is in following the links to an organisation of interest (perhaps because they are ranked surprisingly high or low in our data) and then seeing who were members of that organisation by hitting the 'What Links Here' link on the organisation item page. | ||
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</sparql> | </sparql> | ||
== Nodes in networks == | ==Nodes in networks== | ||
Faced with lots of data it can be hard to see the people that mattered, the apparent pockets of influence, the nodes in the network. This simple query makes a start at that, returning people who signed nominations for women to be elected as Fellows of the Society of Antiquaries of London based on their personal knowledge of the individual, their good standing, their expertise, etc. And whilst the results of the query need interpreting against other evidence, it provides points of entry, ways of thinking about who was doing the labour of getting women's work recognised at a national level. | Faced with lots of data it can be hard to see the people that mattered, the apparent pockets of influence, the nodes in the network. This simple query makes a start at that, returning people who signed nominations for women to be elected as Fellows of the Society of Antiquaries of London based on their personal knowledge of the individual, their good standing, their expertise, etc. And whilst the results of the query need interpreting against other evidence, it provides points of entry, ways of thinking about who was doing the labour of getting women's work recognised at a national level. | ||