Freebase extractor - Revision history

Akivela at 08:56, 6 August 2015

2015-08-06T08:56:29Z

Akivela at 08:56, 6 August 2015

2015-08-06T08:56:07Z

Akivela at 07:42, 25 September 2012

2012-09-25T07:42:21Z

Akivela at 07:40, 25 September 2012

2012-09-25T07:40:03Z

Eero at 10:49, 31 August 2012

2012-08-31T10:49:03Z

Eero at 10:48, 31 August 2012

2012-08-31T10:48:26Z

Eero at 10:41, 31 August 2012

2012-08-31T10:41:58Z

Eero at 10:40, 31 August 2012

2012-08-31T10:40:45Z

Eero: Created page with "Wandora's Freebase extractor makes an request to the http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all..."

2012-08-31T10:34:22Z

Created page with "Wandora's Freebase extractor makes an request to the http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all..."

New page

Wandora's Freebase extractor makes an request to the http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all other data in Wandora the extracted topics and associations may be modified, merged and visualized with the tools provided in Wandora.

The extractor is located in the '''event search''' tab of the dialog found in '''File > Extract > Topics > Freebase extractor...'''

Specifically the extractor uses the MQL Read Service of the API. A single extraction querys the API for a single Freebase topic and it's associated topics. The user can specify a one or more topics by their Freebase IDs or Freebase URLs in comma separated lists or by using the extractor's text search and selecting one or more topics matching the text query. The maximum amount of topics extracted and depth for a recursive query may also be specified. Note that the extractor may stop before the actual maximum amount of topics extracted is reached as extraction overlap in recursive queries may cause some topics to be counted multiple times.

== Example ==

Below an extraction is done by first creating a layer for the extraction and then searching for Freebase topics of Sibelius and picking the one representing the composer. The recursion depth is kept at 1 to extract only Sibelius' and it's immidiate associations' topics.

[[Image:freebase_extractor_01.png|center]]

[[Image:freebase_extractor_02.png|center]]

[[Image:freebase_extractor_03.png|center]]

The [[D3 Graph Visualization]] is used to visualize the extracted data. Written works, recordings and albums are shown to make up the bulk of data associated with Sibelius.

[[Image:freebase_extractor_04.png|center]]

Next recursion is used to extract data of the Explorer, Voyager, Apollo and shuttle programs to visualize their shared associations. The graph below displays the interconnectivity between the programs and the [[Layer visualization]] shows a ratio of 0.33 for merged topics out of all topics in the layer structure.

[[Image:freebase_extractor_05.png|center]]

[[Image:freebase_extractor_06.png|center]]

Finally recursion of depth 3 is used to extract information from Hergé's series Adventures of Tintin and it's associated topics. THe graph get's increasingly complex here and it mainly demonostrates large hub like topics that have large amount of topics associated with them and a distinct center of gravitation around which topics with many common associations are found.

[[Image:freebase_extractor_07.png|center]]

← Older revision		Revision as of 08:56, 6 August 2015
Line 1:		Line 1:
−	'''Freebase extractor has been retired in Wandora version 2015-08-06 ~~after~~ [https://developers.google.com/freebase/ Freebase API deprecation]'''.	+	'''Freebase extractor has been retired in Wandora version 2015-08-06 because of the [https://developers.google.com/freebase/ Freebase API deprecation]'''.

	Wandora's Freebase extractor makes an request to the [http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all other data in Wandora the extracted topics and associations may be modified, merged and visualized with the tools provided in Wandora.		Wandora's Freebase extractor makes an request to the [http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all other data in Wandora the extracted topics and associations may be modified, merged and visualized with the tools provided in Wandora.

← Older revision		Revision as of 08:56, 6 August 2015
Line 1:		Line 1:
		+	'''Freebase extractor has been retired in Wandora version 2015-08-06 after [https://developers.google.com/freebase/ Freebase API deprecation]'''.
		+
	Wandora's Freebase extractor makes an request to the [http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all other data in Wandora the extracted topics and associations may be modified, merged and visualized with the tools provided in Wandora.		Wandora's Freebase extractor makes an request to the [http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all other data in Wandora the extracted topics and associations may be modified, merged and visualized with the tools provided in Wandora.

@@ Line 3: / Line 3: @@
 The extractor is located in the dialog found in '''File > Extract > Topics > Freebase extractor...'''
-Specifically the extractor uses the MQL Read Service of the API. A single extraction querys the API for a single Freebase topic and it's associated topics. The user can specify a one or more topics by their Freebase IDs or Freebase URLs in comma separated lists or by using the extractor's text search and selecting one or more topics matching the text query. The maximum amount of topics extracted and depth for a recursive query may also be specified. Note that the extractor may stop before the actual maximum amount of topics extracted is reached as extraction overlap in recursive queries may cause some topics to be counted multiple times.
+Specifically the extractor uses the [http://wiki.freebase.com/wiki/MQL_Read_Service MQL Read Service] of the API. A single extraction querys the API for a single Freebase topic and it's associated topics. The user can specify a one or more topics by their Freebase IDs or Freebase URLs in comma separated lists or by using the extractor's text search and selecting one or more topics matching the text query. The maximum amount of topics extracted and depth for a recursive query may also be specified. Note that the extractor may stop before the actual maximum amount of topics extracted is reached as extraction overlap in recursive queries may cause some topics to be counted multiple times.
 == Example #1 ==
-Below an extraction is done by first creating a layer for the extraction and then searching for Freebase topics of Sibelius and picking the one representing the composer. The recursion depth is kept at 1 to extract only Sibelius' and it's immidiate associations' topics.
+Below an extraction is done by first creating a layer for the extraction and then searching for Freebase topics of Sibelius and picking the one representing the composer. The recursion depth is kept at 1 to extract only Sibelius' and it's immediate associations' topics.
@@ Line 36: / Line 36: @@
 == Example #3 ==
-Finally recursion of depth 3 is used to extract information from Hergé's series Adventures of Tintin and it's associated topics. THe graph get's increasingly complex here and it mainly demonostrates large hub like topics that have large amount of topics associated with them and a distinct center of gravitation around which topics with many common associations are found.
+Finally recursion of depth 3 is used to extract information from Hergé's series Adventures of Tintin and it's associated topics. The graph get's increasingly complex here and it mainly demonstrates large hub like topics that have large amount of topics associated with them and a distinct center of gravitation around which topics with many common associations are found.
 [[Image:freebase_extractor_07.png|center]]

@@ Line 1: / Line 1: @@
 Wandora's Freebase extractor makes an request to the [http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all other data in Wandora the extracted topics and associations may be modified, merged and visualized with the tools provided in Wandora.
-The extractor is located in the '''event search''' tab of the dialog found in '''File > Extract > Topics > Freebase extractor...'''
+The extractor is located in the dialog found in '''File > Extract > Topics > Freebase extractor...'''
 Specifically the extractor uses the MQL Read Service of the API. A single extraction querys the API for a single Freebase topic and it's associated topics. The user can specify a one or more topics by their Freebase IDs or Freebase URLs in comma separated lists or by using the extractor's text search and selecting one or more topics matching the text query. The maximum amount of topics extracted and depth for a recursive query may also be specified. Note that the extractor may stop before the actual maximum amount of topics extracted is reached as extraction overlap in recursive queries may cause some topics to be counted multiple times.

← Older revision		Revision as of 10:49, 31 August 2012
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−	The [[D3 Graph Visualization]] is used to visualize the extracted data. Written works, recordings and albums are shown to make up the bulk of data associated with Sibelius.	+	The [[D3 graph service module\|D3 Graph Visualization]] is used to visualize the extracted data. Written works, recordings and albums are shown to make up the bulk of data associated with Sibelius.

← Older revision		Revision as of 10:48, 31 August 2012
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	== Example #2 ==		== Example #2 ==

−	Next recursion is used to extract data of the Explorer, Voyager, Apollo and shuttle programs to visualize their shared associations. The graph below displays the interconnectivity between the programs and the [[Layer visualization]] shows a ratio of 0.33 for merged topics out of all topics in the layer structure.	+	Next recursion is used to extract data of the Explorer, Voyager, Apollo and shuttle programs to visualize their shared associations. The graph below displays the interconnectivity between the programs and the [[D3 layer visualization\|Layer visualization]] shows a ratio of 0.33 for merged topics out of all topics in the layer structure.

@@ Line 5: / Line 5: @@
 Specifically the extractor uses the MQL Read Service of the API. A single extraction querys the API for a single Freebase topic and it's associated topics. The user can specify a one or more topics by their Freebase IDs or Freebase URLs in comma separated lists or by using the extractor's text search and selecting one or more topics matching the text query. The maximum amount of topics extracted and depth for a recursive query may also be specified. Note that the extractor may stop before the actual maximum amount of topics extracted is reached as extraction overlap in recursive queries may cause some topics to be counted multiple times.
-== Example ==
+== Example #1 ==
 Below an extraction is done by first creating a layer for the extraction and then searching for Freebase topics of Sibelius and picking the one representing the composer. The recursion depth is kept at 1 to extract only Sibelius' and it's immidiate associations' topics.
@@ Line 24: / Line 24: @@
 [[Image:freebase_extractor_04.png|center]]
 Next recursion is used to extract data of the Explorer, Voyager, Apollo and shuttle programs to visualize their shared associations. The graph below displays the interconnectivity between the programs and the [[Layer visualization]] shows a ratio of 0.33 for merged topics out of all topics in the layer structure.
@@ Line 33: / Line 34: @@
 [[Image:freebase_extractor_06.png|center]]
 Finally recursion of depth 3 is used to extract information from Hergé's series Adventures of Tintin and it's associated topics. THe graph get's increasingly complex here and it mainly demonostrates large hub like topics that have large amount of topics associated with them and a distinct center of gravitation around which topics with many common associations are found.

← Older revision		Revision as of 10:40, 31 August 2012
Line 1:		Line 1:
−	Wandora's Freebase extractor makes an request to the http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all other data in Wandora the extracted topics and associations may be modified, merged and visualized with the tools provided in Wandora.	+	Wandora's Freebase extractor makes an request to the [http://wiki.freebase.com/wiki/Freebase_API Freebase API] and converts the response to topics and associations. As with all other data in Wandora the extracted topics and associations may be modified, merged and visualized with the tools provided in Wandora.

	The extractor is located in the '''event search''' tab of the dialog found in '''File > Extract > Topics > Freebase extractor...'''		The extractor is located in the '''event search''' tab of the dialog found in '''File > Extract > Topics > Freebase extractor...'''