Designing Buildings Wiki natural language programming - Revision history

Designing Buildings at 07:22, 19 February 2021

2021-02-19T07:22:09Z

← Older revision		Revision as of 07:22, 19 February 2021
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	“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows you to see subjects with a fresh mind, identifying things that have not been explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”		“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows you to see subjects with a fresh mind, identifying things that have not been explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”

−	[[Category:~~Do_not_autolink~~]] [[Category:~~Research_/_Innovation~~]] [[Category:DCN_Research,_Development_and_Innovation]] [[Category:News]] [[Category:~~DCN_News~~]]	+	[[Category:DCN_Commentary]] [[Category:DCN_News]] [[Category:DCN_Research,_Development_and_Innovation]] [[Category:DCN_Software]] [[Category:Do_not_autolink]] [[Category:News]] [[Category:Research_/_Innovation]]

Designing Buildings at 11:45, 13 February 2019

2019-02-13T11:45:17Z

← Older revision		Revision as of 11:45, 13 February 2019
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	The software can also analyse lists of keywords and identify phrases that are commonly associated with those keywords. This can help broaden out subjects and find connections with other areas of construction knowledge.		The software can also analyse lists of keywords and identify phrases that are commonly associated with those keywords. This can help broaden out subjects and find connections with other areas of construction knowledge.

−	In testing, subjects identified by the software were more popular than subjects Designing Buildings Wiki editors came up with themselves. In a four month period between October 2018 and February 2019, 73 articles were written based on the reccommendations of the software and 164 based on ideas the editors came up with. The articles written based on the software reccommendations recieved 35% more ~~traddic~~.	+	In testing, subjects identified by the software were more popular than subjects Designing Buildings Wiki editors came up with themselves. In a four month period between October 2018 and February 2019, 73 articles were written based on the reccommendations of the software and 164 based on ideas the editors came up with. The articles written based on the software reccommendations recieved 35% more views.

	Designing Buildings Wiki Director, Dr Gregor Harvie said:		Designing Buildings Wiki Director, Dr Gregor Harvie said:
Line 17:		Line 17:
	“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows you to see subjects with a fresh mind, identifying things that have not been explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”		“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows you to see subjects with a fresh mind, identifying things that have not been explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”

−	[[Category:Do_not_autolink]] [[Category:Research_/_Innovation]] [[Category:News]]	+	[[Category:Do_not_autolink]] [[Category:Research_/_Innovation]] [[Category:DCN_Research,_Development_and_Innovation]] [[Category:News]] [[Category:DCN_News]]

Designing Buildings at 11:44, 13 February 2019

2019-02-13T11:44:38Z

← Older revision		Revision as of 11:44, 13 February 2019
Line 9:		Line 9:
	The software can also analyse lists of keywords and identify phrases that are commonly associated with those keywords. This can help broaden out subjects and find connections with other areas of construction knowledge.		The software can also analyse lists of keywords and identify phrases that are commonly associated with those keywords. This can help broaden out subjects and find connections with other areas of construction knowledge.

−	In testing, subjects identified by the software were more popular than subjects Designing Buildings Wiki editors ~~have come~~ up with themselves.	+	In testing, subjects identified by the software were more popular than subjects Designing Buildings Wiki editors came up with themselves. In a four month period between October 2018 and February 2019, 73 articles were written based on the reccommendations of the software and 164 based on ideas the editors came up with. The articles written based on the software reccommendations recieved 35% more traddic.

	Designing Buildings Wiki Director, Dr Gregor Harvie said:		Designing Buildings Wiki Director, Dr Gregor Harvie said:

Designing Buildings at 07:37, 2 January 2019

2019-01-02T07:37:04Z

← Older revision		Revision as of 07:37, 2 January 2019
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	The first time the software was run it identified 250,000 unexplained concepts. Since then it has been taught to ignore certain words or phrases, so that it focusses only on industry-specific concepts. It has also been developed so that particular subject areas, or text from third parties can be analysed. This is particularly useful for helping our partners target new content creation.		The first time the software was run it identified 250,000 unexplained concepts. Since then it has been taught to ignore certain words or phrases, so that it focusses only on industry-specific concepts. It has also been developed so that particular subject areas, or text from third parties can be analysed. This is particularly useful for helping our partners target new content creation.

−	The software can also analyse lists of keywords and identify phrases ~~in specific text~~ that are commonly associated with those keywords. This can help broaden out subjects and ~~identify~~ connections with other areas of construction knowledge.	+	The software can also analyse lists of keywords and identify phrases that are commonly associated with those keywords. This can help broaden out subjects and find connections with other areas of construction knowledge.

	In testing, subjects identified by the software were more popular than subjects Designing Buildings Wiki editors have come up with themselves.		In testing, subjects identified by the software were more popular than subjects Designing Buildings Wiki editors have come up with themselves.

Designing Buildings at 07:34, 2 January 2019

2019-01-02T07:34:26Z

← Older revision		Revision as of 07:34, 2 January 2019
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	“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows you to see subjects with a fresh mind, identifying things that have not been explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”		“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows you to see subjects with a fresh mind, identifying things that have not been explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”

−	~~= Related articles on Designing Buildings Wiki =~~	+	[[Category:Do_not_autolink]] [[Category:Research_/_Innovation]] [[Category:News]]
−		+
−	* Application Programming Interfaces (APIs).	+
−	* Big data.	+
−	* Building Information Modelling.	+
−	* Construction Knowledge Task Group.	+
−	* Digital Built Britain.	+
−	* Artificial intelligence and civil engineering.	+
−	* Artificial intelligence and surveying.	+
−	* The impact of artificial intelligence on built environment.	+
−	* Fit for purpose - Big data reveals the construction knowledge gap.	+
−		+
−	[[Category:Research_/_Innovation]] [[Category:News]]	+

Designing Buildings at 11:16, 19 December 2018

2018-12-19T11:16:17Z

Designing Buildings at 11:11, 19 December 2018

2018-12-19T11:11:48Z

← Older revision		Revision as of 11:11, 19 December 2018
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	* Construction Knowledge Task Group.		* Construction Knowledge Task Group.
	* Digital Built Britain.		* Digital Built Britain.
−	* Artificial intelligence and civil engineering	+	* Artificial intelligence and civil engineering.
−	* Artificial intelligence and surveying	+	* Artificial intelligence and surveying.
−	* The impact of artificial intelligence on built environment	+	* The impact of artificial intelligence on built environment.
		+	* Fit for purpose - Big data reveals the construction knowledge gap

	[[Category:Research_/_Innovation]] [[Category:News]]		[[Category:Research_/_Innovation]] [[Category:News]]

Designing Buildings at 11:10, 19 December 2018

2018-12-19T11:10:59Z

← Older revision		Revision as of 11:10, 19 December 2018
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−	[[File:Online-~~3286010 640~~.jpg]]	+	[[File:Online-3286010_640.jpg\|link=File:Online-3286010_640.jpg]]

	During 2018, the Knowledge Media Institute (KMI) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitioners are likely to want to know about.		During 2018, the Knowledge Media Institute (KMI) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitioners are likely to want to know about.
Line 20:		Line 20:

	* Application Programming Interfaces (APIs).		* Application Programming Interfaces (APIs).
−	* Artificial intelligence.
	* Big data.		* Big data.
	* Building Information Modelling.		* Building Information Modelling.
	* Construction Knowledge Task Group.		* Construction Knowledge Task Group.
	* Digital Built Britain.		* Digital Built Britain.
		+	* Artificial intelligence and civil engineering
		+	* Artificial intelligence and surveying
		+	* The impact of artificial intelligence on built environment

	[[Category:Research_/_Innovation]] [[Category:News]]		[[Category:Research_/_Innovation]] [[Category:News]]

Designing Buildings at 11:09, 19 December 2018

2018-12-19T11:09:29Z

← Older revision		Revision as of 11:09, 19 December 2018
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		+	[[File:Online-3286010 640.jpg]]
		+
	During 2018, the Knowledge Media Institute (KMI) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitioners are likely to want to know about.		During 2018, the Knowledge Media Institute (KMI) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitioners are likely to want to know about.

Designing Buildings: Created page with "During 2018, the Knowledge Media Institute (KMI) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitio..."

2018-12-19T11:08:21Z

Created page with "During 2018, the Knowledge Media Institute (KMI) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitio..."

New page

During 2018, the Knowledge Media Institute (KMI) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitioners are likely to want to know about.

The software uses natural language programming, artificial intelligence and machine learning to analyse large quantities of text and identify common concepts that have not been explained on Designing Buildings Wiki. This generates a prioritised list of articles that can be written which are likely to be popular with our users.

The first time the software ran, it identified 250,000 unexplained concepts. Since then, it has been taught to ignore certain words or phrases, so that it focusses on industry-specific concepts. It has also been developed so that particular subject areas, or text from third parties can be analysed. This is particularly useful for helping our partners target new content creation.

The software can also analyse lists of keywords and identify phrases in specific text that are commonly associated with those keywords. This can help broaden out subjects and identify connections with other areas of construction knowledge.

In testing, subjects identified by the software are more popular than subjects Designing Buildings Wiki editors have come up with themselves.

Designing Buildings Wiki Director, Dr Gregor Harvie said:

“The use of artificial intelligence is allowing us to streamline our activities, focussing resources on the subjects our users most want to know about. It has also revealed some gaping holes in our knowledge base. The first time we ran the software we discovered we had not explained what a building is, or what designing is – both of these words appear in our own name.”

“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows us to see subjects with a fresh mind, identifying things we have not explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”

= Related articles on Designing Buildings Wiki =

* Application Programming Interfaces (APIs).
* Artificial intelligence.
* Big data.
* Building Information Modelling.
* Construction Knowledge Task Group.
* Digital Built Britain.

[[Category:Research_/_Innovation]] [[Category:News]]

← Older revision		Revision as of 11:16, 19 December 2018
Line 1:		Line 1:
	[[File:Online-3286010_640.jpg\|link=File:Online-3286010_640.jpg]]		[[File:Online-3286010_640.jpg\|link=File:Online-3286010_640.jpg]]

−	During 2018, the Knowledge Media Institute (~~KMI~~) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitioners are likely to want to know about.	+	During 2018, the Knowledge Media Institute (KMi) at the Open University collaborated with Designing Buildings Wiki to develop software that helps identify subjects that practitioners are likely to want to know about.

−	The software uses natural language programming, artificial intelligence and machine learning to analyse large quantities of text and identify common concepts that have not been explained ~~on Designing Buildings Wiki~~. This generates a prioritised list of articles that can be written which are likely to be popular with our users.	+	The software uses natural language programming, artificial intelligence and machine learning to analyse large quantities of text and identify common concepts that have not been explained. This generates a prioritised list of articles that can be written which are likely to be popular with our users.

−	The first time the software ~~ran,~~ it identified 250,000 unexplained concepts. Since then, it has been taught to ignore certain words or phrases, so that it focusses on industry-specific concepts. It has also been developed so that particular subject areas, or text from third parties can be analysed. This is particularly useful for helping our partners target new content creation.	+	The first time the software was run it identified 250,000 unexplained concepts. Since then it has been taught to ignore certain words or phrases, so that it focusses only on industry-specific concepts. It has also been developed so that particular subject areas, or text from third parties can be analysed. This is particularly useful for helping our partners target new content creation.

	The software can also analyse lists of keywords and identify phrases in specific text that are commonly associated with those keywords. This can help broaden out subjects and identify connections with other areas of construction knowledge.		The software can also analyse lists of keywords and identify phrases in specific text that are commonly associated with those keywords. This can help broaden out subjects and identify connections with other areas of construction knowledge.

−	In testing, subjects identified by the software ~~are~~ more popular than subjects Designing Buildings Wiki editors have come up with themselves.	+	In testing, subjects identified by the software were more popular than subjects Designing Buildings Wiki editors have come up with themselves.

	Designing Buildings Wiki Director, Dr Gregor Harvie said:		Designing Buildings Wiki Director, Dr Gregor Harvie said:
Line 15:		Line 15:
	“The use of artificial intelligence is allowing us to streamline our activities, focussing resources on the subjects our users most want to know about. It has also revealed some gaping holes in our knowledge base. The first time we ran the software we discovered we had not explained what a building is, or what designing is – both of these words appear in our own name.”		“The use of artificial intelligence is allowing us to streamline our activities, focussing resources on the subjects our users most want to know about. It has also revealed some gaping holes in our knowledge base. The first time we ran the software we discovered we had not explained what a building is, or what designing is – both of these words appear in our own name.”

−	“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows us to see subjects with a fresh mind, identifying things we have not explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”	+	“It is particularly useful in helping specialists explain complex areas of the industry to non-specialists. It can be difficult to put yourself into the mind of someone that does not know what you know. This software allows you to see subjects with a fresh mind, identifying things that have not been explained. Sometimes these are technical terms, but more often they are concepts that are so obvious they have been overlooked.”

	= Related articles on Designing Buildings Wiki =		= Related articles on Designing Buildings Wiki =
Line 27:		Line 27:
	* Artificial intelligence and surveying.		* Artificial intelligence and surveying.
	* The impact of artificial intelligence on built environment.		* The impact of artificial intelligence on built environment.
−	* Fit for purpose - Big data reveals the construction knowledge gap	+	* Fit for purpose - Big data reveals the construction knowledge gap.

	[[Category:Research_/_Innovation]] [[Category:News]]		[[Category:Research_/_Innovation]] [[Category:News]]