Lab: Semantic Lifting - XML - Revision history

Tkr048 at 12:10, 17 March 2022

2022-03-17T12:10:50Z

← Older revision		Revision as of 12:10, 17 March 2022
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	==Topics==		==Topics==
	The first task for today will be finishing of [https://wiki.uib.no/info216/index.php/Lab:_Semantic_Lifting_-_CSV ~~last weeks~~ lab]. Both finishing parsing and lifting the file, and implementing DBpedia Spotlight on at least one of the columns.		The first task for today will be finishing of [https://wiki.uib.no/info216/index.php/Lab:_Semantic_Lifting_-_CSV the CSV lab]. Both finishing parsing and lifting the file, and implementing DBpedia Spotlight on at least one of the columns.

	If you have completed that you can start working with lifting XML data in the task below.		If you have completed that you can start working with lifting XML data in the task below.

Sas020 at 13:46, 23 March 2021

2021-03-23T13:46:22Z

← Older revision		Revision as of 13:46, 23 March 2021
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	=Lab 10: Semantic Lifting - XML=		=Lab 9: Semantic Lifting - XML=

	==Topics==		==Topics==

Sas020 at 16:05, 21 March 2021

2021-03-21T16:05:24Z

← Older revision		Revision as of 16:05, 21 March 2021
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	==Topics==		==Topics==
	~~Today's topic involves~~ lifting data in ~~XML format into RDF~~.		The first task for today will be finishing of [https://wiki.uib.no/info216/index.php/Lab:_Semantic_Lifting_-_CSV last weeks lab]. Both finishing parsing and lifting the file, and implementing DBpedia Spotlight on at least one of the columns.
	XML stands for Extensible Markup Language and is used ~~to commonly~~ for data storage/transfer, especially for websites.
			If you have completed that you can start working with lifting XML data in the task below.
			XML stands for Extensible Markup Language and is still widely used for data storage/transfer, especially for websites.

	XML has a tree structure similar to HTML, consisting of a root element, children and parent elements, attributes and so on.		XML has a tree structure similar to HTML, consisting of a root element, children and parent elements, attributes and so on.
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	import xml.etree.ElementTree as ET		import xml.etree.ElementTree as ET

			* ET.ElementTree()
	* ET.parse('xmlfile.xml')		* ET.parse('xmlfile.xml')
			* ET.fromstring("XML_data_as_string")

	All parts of the XML tree are considered '''Elements'''.		All parts of the XML tree are considered '''Elements'''.
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	resp = requests.get(url)		resp = requests.get(url)

	# ~~Saving~~ the xml data to a .xml file		# Creating an ElementTree from the response content
			tree = ET.ElementTree(ET.fromstring(resp.content))

			# Or saving the xml data to a .xml file and creating a tree from this
	with open('news.xml', 'wb') as f:		with open('news.xml', 'wb') as f:
	f.write(resp.content)		f.write(resp.content)

Sas020 at 13:28, 16 March 2021

2021-03-16T13:28:01Z

← Older revision		Revision as of 13:28, 16 March 2021
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	=Lab 10: Semantic Lifting - XML=		=Lab 10: Semantic Lifting - XML=

	~~==Link to Discord server==~~
	~~https://discord.gg/t5dgPrK~~

	==Topics==		==Topics==

Say004 at 14:37, 25 March 2020

2020-03-25T14:37:17Z

← Older revision		Revision as of 14:37, 25 March 2020
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	</journalist>		</journalist>
	</news_publisher>		</news_publisher>
	</data		</data>
	</syntaxhighlight>		</syntaxhighlight>

Say004 at 13:24, 25 March 2020

2020-03-25T13:24:54Z

← Older revision		Revision as of 13:24, 25 March 2020
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	# Saving the xml data to a .xml file		# Saving the xml data to a .xml file
	with open('~~test~~.xml', 'wb') as f:		with open('news.xml', 'wb') as f:
	f.write(resp.content)		f.write(resp.content)

Say004 at 09:43, 25 March 2020

2020-03-25T09:43:08Z

← Older revision		Revision as of 09:43, 25 March 2020
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	prov = Namespace("http://www.w3.org/ns/prov#")		prov = Namespace("http://www.w3.org/ns/prov#")
	g.bind("ex", ex)		g.bind("ex", ex)
	g.bind("ex", prov)		g.bind("prov", prov)

Say004 at 11:11, 20 March 2020

2020-03-20T11:11:29Z

← Older revision		Revision as of 11:11, 20 March 2020
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	==If You have more Time==		==If You have more Time==
	Extend the graph using the PROV vocabulary to say that ~~our~~ articles ~~are attributedTo BBC_News.~~		Extend the graph using the PROV vocabulary to describe Agents and Entities.
			For instance, we want to say that the news articles originates from BBC,
	~~Also use~~ the ~~prov.Entity and prov.Agent class where it is relevant~~.		and that the journalists acts on behalf of BBC.

Say004 at 11:08, 20 March 2020

2020-03-20T11:08:55Z

← Older revision		Revision as of 11:08, 20 March 2020
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	# ~~url~~ of ~~rss feed~~		# URL of xml data
	url = 'http://feeds.bbci.co.uk/news/rss.xml'		url = 'http://feeds.bbci.co.uk/news/rss.xml'

	# ~~creating HTTP response object~~ from ~~given~~ url		# Retrieve the xml data from the web-url.
	resp = requests.get(url)		resp = requests.get(url)

	# ~~saving~~ the xml file		# Saving the xml data to a .xml file
	with open('test.xml', 'wb') as f:		with open('test.xml', 'wb') as f:
	f.write(resp.content)		f.write(resp.content)

Say004 at 09:15, 20 March 2020

2020-03-20T09:15:59Z

← Older revision		Revision as of 09:15, 20 March 2020
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	* [https://www.geeksforgeeks.org/xml-parsing-python/ XML-parsing-python by geeksforgeeks.org]		* [https://www.geeksforgeeks.org/xml-parsing-python/ XML-parsing-python by geeksforgeeks.org]
	* [https://www.w3schools.com/xml/xml_whatis.asp XML information by w3schools.com]		* [https://www.w3schools.com/xml/xml_whatis.asp XML information by w3schools.com]
			* [https://www.w3.org/TR/prov-o/#description PROV vocabulary]