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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>B.Kelly@ukoln.ac.uk</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…..