Extract it!
You want to identify only the relevant parts of a complete document.
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The vast resources of the internet are such that it is not feasible to manually search for and retrieve, leave alone read, all relevant resources on a given topic.
Web pages written in HTML contain unstructured data, with no computer understandable “meaning.”
XML (extensible Markup Language) and ontology provide an opportunity to allow structure and (indirectly) “meaning” to be into the content of the resource itself (Bostock, 2002, p.3).
You miss relevant resources because of information overload.
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Therefore, extract only relevant parts of a document using XML.
You locate relevant information even though you sort through less information.
Extracted information is often decontextualized, leaving the task of situating the information entirely up to you. This strategy is limited by the degree of integrations among various data standards, ontology definitions, and knowledge management and agent technologies.
Authors rarely represent knowledge and present information in a structured and meaningful way.
Each community of learners must work to develop acceptable and workable standards on representing document content and the corresponding knowledge much more effectively (Bostock, 2002).
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PubSub.com is a matching service that extracts information based on the search query you submit. I am trying out a PubSub extraction for ‘(“lifelong learning” OR “self directed” OR “networked learning”) AND technology’; the results are in the left column of this blog under resources.
Lifelong Learning design pattern map. Click to enlarge.
The “extract it!” pattern was originally published April 25th, 2005 on The Common Loon.
25 Apr 2005
