1 semantic web mining presented by: chittampally vasanth raja 10it05f m.tech (information...
TRANSCRIPT
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Semantic Web Mining
Presented by: Chittampally Vasanth Raja 10IT05F
M.Tech (Information Technology)
www.vasanthexperiments.wordpress.com
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Outline
Stages of World Wide Web Web 1.0 Web 2.0 Web 3.0
Semantic Web Web Data Mining
Stages of WWW
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Web 3.0
Definitions vary greatly The most important features are the
Semantic Web and personalization Web 3.0 will allow the user to sit back and
let the Internet do all of the work for him
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Hard Work using the Syntactic Web…
Find images of Peter Patel-Schneider, Frank van Harmelen and Alan Rector…
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Rev. Alan M. Gates, Associate Rector of the Church of the Holy Spirit, Lake Forest, Illinois
Semantic Web
In the Semantic Web we will need: Machines talking to machines – semantics need
to be unambiguously declared Joined-up data – enabling complex tasks based
on information from various sources Wide scope – from, say, home to government to
commerce Trust – both in data and who is saying itThis is not going to be easily achieved
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XML Not Enough
XML describes the syntax Does not provide semantics (what does DC.Creator mean?) The meaning may be agreed & understood within DC
applications – but this does not allow for extensibility Similar applications may be described using different XML
DTDs: e.g. is <Creator> the same as <le-Créator> or <Доклады>
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<DC.Creator>Brian Kelly</DC.Creator><DC.Creator.email>[email protected]</DC.Creator.email>
Semantic Web Vision
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Resource Description Framework
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RDF: Resource Description Framework An XML application “Not just tags” – RDF makes use of a formal model Basis for “The Semantic Web” (SW)
RDF
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Resource Value PropertyType
Property
RDF Data Model
Brian written by
05-Mar-02
on
page.html Resource has property value Page.html written-by Brian
Known as triples or tuples
Ontologies
Ontologies provide a shared and common understanding of a domain a shared specification of a conceptualisation ‘concept map’ for WWW resources defined using RDF(S) or OWL
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Ontology Example
Taxonomy is a classification system where each node has only one parent – simple ontology
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Ontology Example
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Living Beings
Plants
InvertebratesVertebrates
Animals
OWL = Web Ontology Language
OWL is based on Description Logics knowledge representation formalism
OWL (DL) benefits from many years of DL research: Well defined semantics Formal properties well understood (complexity, decidability) Known reasoning algorithms Implemented systems (highly optimised)
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Semantic Web Mining
Semantic Web mining knowledge makes it easier to achieve and improve the effectiveness of Web mining.
semantic-based Web Mining we can be divided into
1) Semantic Web content and structure mining
2) Semantic Web structure mining
3) Semantic Web usage mining categories
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Frame work of Semantic Web Mining Model
Agents(Intelligent software entities) are used for accomplishing intelligent tasks
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First step: In the beginning, you need to build an initial ontology.
* we use clustering algorithm to obtain the document from the Web.
* One way to get concept hierarchy is ONTEX (ontology Exploration)
Second step:
* resource acquisition module collects task-related data sets according to received tasks instructions by ontology Agent from a Web mining
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Third step:
* RDF clustering module achieves ontology clustering learning to the data that resource acquisition modules have collected
Fourth step:
* Data stored in the RDF data repository are mined by Semantic Web Mining module and the mining results are provided to ontology Agent.
Fifth step:
* Ontology Agent completes semantic filtering and clustering of processing for results obtained by Semantic Web Mining module, to improve the relevance of return information
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References
[1] WANG Yong-gui1, JIA Zhen2, ‘Research on Semantic Web Mining’ Dept of Software Liaoning Technical University Huludao, Liaoning, China, 201O International Conference On Computer Design And Appliations (ICCDA 2010)
[2] Semantic Web Mining State of the Art and Future
Directions Gerd Stumme, Andreas Hotho, Bettina Berendt ECML/PKDD 2004 conference.
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Questions…..