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1
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2
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- It is a vast distributed pool of semi-structured information.
- Explosive growth in the amount of data has led us:
- Manage large volume of data to present in a structured and in an orderly
way.
- Intelligently find information resources.
- Analyze/Track Usage patterns.
- Answer/Solution: Web-Mining.
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3
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4
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- The key objective is to develop “more” intelligent tools for information
retrieval to help the user in finding, extracting, filtering &
evaluating the desired information and resources.
- Development of algorithms.
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5
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- Started in the early 90’s to observe user behavior (viewing,
book-marking, browsing history)
- Some people were interested in understanding the web-content
(Textual-information)
- There is a powerful philosophy-that if we understand the ontology of the
web-site we will be able to generate a KB or DB that reflect this
ontology. (I am not sure how we will do it, but I guess it can be
done!.)
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6
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- It involves 3 kinds of data:
- Data on the web (Web-Content).
- Web log data regarding the users who browsed the page.
- Web-structure data.
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7
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- We can broadly make it as:
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8
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9
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- Information Retrieval Approach
- - To assist or improve the
information finding to the users based on either inferred or solicited
user profiles.
- Database Approach
- - To model the data on the web
and to integrate them.
- - The philosophy being that more
sophisticated queries other than the keywords could be performed.
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10
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- Absent of machine learning or data mining techniques in the process.
- Its approach is illustrated below:
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Notes
