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Wikipedia is a website is used to obtain the
knowledge.
Searching knowledge of objects using wikipedia is
one of the important topics in the field of
knowledge search.
Explicit relationship:
This is a Relationship is represented by a single click
between the two pages.

Implicit Relationship:
This is a relationship represented by a link structure
containing the two web pages.
Existing
In
Existing
several
semantic
search
engines
have
been
used
for
searching
relationships between
two objects, using a
semantic
knowledge
base extracted from
web or Wikipedia.
Problem In Existing System:

Analyzing implicit relation ship
previously proposed methods use only one or two of the
three representative concepts for measuring a relationship:
distance, connectivity, and cocitation, although all the
concepts are important factors for implicit relationships.
Calculating Implicit Relationship:
The fallowing CFEC Method is used for calculating weight of path.
Proposed System:

A generalized maximum flow-based method which reflects all
the three concepts and does not underestimates popular
objects, in order to measure relationships on Wikipedia
appropriately is proposed.
METHOD FOR MEASURING RELATIONSHIPS
USING GENERALIZED FLOW:

1.Category Grouping
2.Gain Function:
I express gain function for edge e depending on d(e)
with two parameters α and β as

and the reverse gain function is represented with λ
parameter as
MODULE DESCRIPTION:

After careful analysis the system has been identified to
have the following modules.

1.Link Analysis Module.
2.Generalized Flow Based Module.
3.Wikipedia Mining Module.
4.Relationship on Wikipedia Module.
1. Link Analysis Module:
Two kinds of relationships between two objects exist: in
Wikipedia, an explicit relationship is represented by a single link
between the two pages for the objects, and an implicit relationship
is represented by a link structure containing the two pages.
2. Generalized Flow Based Module:

The three concepts, distance, connectivity, and cocitation, are
important concepts for measuring relationships; cohesion-based
methods underestimate popular objects, although popular objects
might be important for relationships in Wikipedia.
3.Wikipedia Mining Module:
Searching webpage's containing a keyword has grown
in this decade, while knowledge search has recently
been researched to obtain knowledge of a single object
and relationships between multiple objects, such as
humans, places or events.

4. Relationship On Wikipedia Module:
I propose a new method for measuring a relationship on
Wikipedia by reflecting all the three concepts: distance,
connectivity, and cocitation. I propose a new method for
measuring the strength of a relationship using the
generalized maximum flow.
System Requirements:

SOFTWARE REQUIREMENTS:
Operating System
Technology
Web Technologies
IDE
Web Server
Tool kit
Database
Java Version

: Windows
: Java and J2EE
: Html, JavaScript, CSS
: My Eclipse
: Tomcat
: Android Phone
: My SQL
: J2SDK1.5
HARDWARE REQUIREMENTS:

Hardware
Speed
RAM
Hard Disk
Floppy Drive
Key Board
Mouse
Monitor

:
:
:
:
:
:
:
:

Pentium
1.1 GHz
1GB
20 GB
1.44 MB
Standard Windows Keyboard
Two or Three Button Mouse
SVGA
A generalized flow based method for analysis of implicit
A generalized flow based method for analysis of implicit

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A generalized flow based method for analysis of implicit

  • 1.
  • 2.   Wikipedia is a website is used to obtain the knowledge. Searching knowledge of objects using wikipedia is one of the important topics in the field of knowledge search.
  • 3. Explicit relationship: This is a Relationship is represented by a single click between the two pages. Implicit Relationship: This is a relationship represented by a link structure containing the two web pages.
  • 5. Problem In Existing System: Analyzing implicit relation ship previously proposed methods use only one or two of the three representative concepts for measuring a relationship: distance, connectivity, and cocitation, although all the concepts are important factors for implicit relationships.
  • 6. Calculating Implicit Relationship: The fallowing CFEC Method is used for calculating weight of path.
  • 7. Proposed System: A generalized maximum flow-based method which reflects all the three concepts and does not underestimates popular objects, in order to measure relationships on Wikipedia appropriately is proposed.
  • 8. METHOD FOR MEASURING RELATIONSHIPS USING GENERALIZED FLOW: 1.Category Grouping
  • 9. 2.Gain Function: I express gain function for edge e depending on d(e) with two parameters α and β as and the reverse gain function is represented with λ parameter as
  • 10. MODULE DESCRIPTION: After careful analysis the system has been identified to have the following modules. 1.Link Analysis Module. 2.Generalized Flow Based Module. 3.Wikipedia Mining Module. 4.Relationship on Wikipedia Module.
  • 11. 1. Link Analysis Module: Two kinds of relationships between two objects exist: in Wikipedia, an explicit relationship is represented by a single link between the two pages for the objects, and an implicit relationship is represented by a link structure containing the two pages. 2. Generalized Flow Based Module: The three concepts, distance, connectivity, and cocitation, are important concepts for measuring relationships; cohesion-based methods underestimate popular objects, although popular objects might be important for relationships in Wikipedia.
  • 12. 3.Wikipedia Mining Module: Searching webpage's containing a keyword has grown in this decade, while knowledge search has recently been researched to obtain knowledge of a single object and relationships between multiple objects, such as humans, places or events. 4. Relationship On Wikipedia Module: I propose a new method for measuring a relationship on Wikipedia by reflecting all the three concepts: distance, connectivity, and cocitation. I propose a new method for measuring the strength of a relationship using the generalized maximum flow.
  • 13. System Requirements: SOFTWARE REQUIREMENTS: Operating System Technology Web Technologies IDE Web Server Tool kit Database Java Version : Windows : Java and J2EE : Html, JavaScript, CSS : My Eclipse : Tomcat : Android Phone : My SQL : J2SDK1.5
  • 14. HARDWARE REQUIREMENTS: Hardware Speed RAM Hard Disk Floppy Drive Key Board Mouse Monitor : : : : : : : : Pentium 1.1 GHz 1GB 20 GB 1.44 MB Standard Windows Keyboard Two or Three Button Mouse SVGA