Transcript Providing Intelligent Content by Using Semantic Web and

Providing Intelligent Content by
Using Semantic Web and Web
Mining
Pinar SENKUL
METU
Computer Eng. Dept.
17/07/2015
Providing Intelligent Content Pinar SENKUL - METU CENG
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Intelligent Content
What is content?
Anything published in the web.
Context management systems deal
with handling organizing and
presenting the content.
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Intelligent Content
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How about intelligent content?
Adaptable content according to the
needs and habits of the user.
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Semantic Web
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to create a universal medium for
information exchange by putting
documents with computer-processable
semantics on the World Wide Web.
It is a vision of web pages that are
understandable by computers, so that
they can do searching and calling web
services automatically in a standardized
way.
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Semantic Web
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Related standards
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XML (the basic platform of the semantic web)
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RDF (Resource Description Language – gives power to
build web in a machine-processable manner)
OWL (Ontology Web Language – provides a language
for defining structured, Web-based ontologies which
delivers richer integration and interoperability of data
among descriptive communities)
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Web Mining
web mining is to discover interesting patterns
from the web data by using data mining
techniques.
web documents data
●web structure data
●web log data
●user profiles data.
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Web Mining
Web Content Mining (Web content mining is the
extraction of useful information from the content of the
web documents.)
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Web Usage Mining (Web usage mining is application of
data mining techniques to discover user access patterns
from web data.)
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Web Structure Mining (Web structure mining can be
described as discovering web structure and link topology
information from web.)
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Web Usage Mining
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automatic discovery of user access
patterns from one or more Web servers
can help to determine
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to determine the life time value of
customers,
cross marketing strategies across
products,
and effectiveness of promotional
campaigns
how to better structure a Web site in
order to create a more effective
Intelligent
Content presenceProviding
for
the
organization.
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Web Usage Mining
Smart-SRA:
 a new approach for session
construction
 a reactive session reconstruction
algorithm. Time and navigation
oriented heuristics are used with the
site topology.
 improvement on the quality on the
constructed session
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“A New Approach for Reactive Web Usage Data Processing", by M. A. Bayir et.
al., ICDE-WIRI, April
2006. Intelligent Content Providing
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Web Usage Mining
Enhancement with Semantic Information
 consider the semantic information of
the visited sites in site construction and
finding associations
 New and semantically correct
associations and profiles can be
extracted
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Multi-relational Data Mining
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Finding associative rules over multiple
relations (tables)
Integrating data from multiple tables into
a single table can cause loss of semantics
and information
New techniques for multiple relations.
Inductive Logic Programming (ILP) is a
frequently used approach.
Used in semantic web mining for ontoloy
extraction
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Multi-relational Data Mining
ILP – based approach:
 Given:
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a set of examples, E
background knowledge, BK
produce a set of relations (clauses)
using BK that describe E.
Strong language bias : precise
syntactical description of acceptable
clauses
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Multi-relational Data Mining
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A new ILP-based association rule
discovery system
 No negative examples
 Purely relational
 Rules generated under less
language bias and user-defined
declarations
“A hybrid technique for multi-relational rule mining”, Seda Daglar-Toprak et.al,
Technical Report, 2005
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Multi-relational Data Mining
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Can be used for
extracting/generating the
semantics of the personalized
content
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Providing Intelligent Content
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A framework for intelligent content
generation that makes use of
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Semantically extended session
generation and web mining approach
ILP-based multi-relational association
rule mining for generating/extending the
semantics of the content
Applicable to various domains
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