Major ppt

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RSS READER SUBMITTED BY: Mahak Sachdeva (10103404) Harshita Maheshwari 10103419)

Transcript of Major ppt

RSS READER

SUBMITTED BY:

Mahak Sachdeva (10103404)

Harshita Maheshwari 10103419)

WHAT IS RSS

RSS is a defined standard for syndicating headlines and other content.

RSS is created using XML or eXtensible Markup Language, which is a markup language

similar to HTML. All fields are defined. Tags are used to denote the field’s classification.

Like HTML, proper construction requires that tags are both opened and closed.

Example: <title> Title of Item in Feed </title>

RSS has been around for more than a decade, but only recently the standard has been

embraced by bloggers, webmasters and large news portals as a means of distributing

Information, in a standardized format.

WHAT IS RSS READER

APPLICATIONS

◦ classification of news items in RSS feeds

◦ extraction of geolocation data

◦ web service which delivers categorized and

location-based news

◦ android application

◦ Recommendation to the user

BENEFITS:

Help in constant update

Ease of Operation

User can collect information from multiple sources into a single data stream

Recommendation to the user on his past preference

PROBLEM STATEMENT

The extremely large volume of online news has created an urgent need for tools that let users effectively and efficiently browse topics, detect temporal trends, and search news of interest.

For this we are preparing a RSS FEEDER to extract valuable information from large online news collections

ARCHITECTURE :

SBC: Search by Category

SBL: Search by Location

ACTIVITY DIAGRAM:

METHODS IN USE:

REVERSE GEOCODING

Ontology based text categorization

CONCEPT BASED PARSING

CONCEPT BASED ALGORITHM

Reverse Geo Coding:

Reverse geocoding is the process of

back (reverse) coding of a point location

(latitude, longitude) to a readable

address

or place name. This permits the

identification of nearby street

addresses,

places, and/or areal subdivisions such

as

neighbourhoods, county, state, or

country

Ontology based text categorization

For text classification, it is necessary

to extract features from the given

dataset and produce a knowledge

model which can be used for training

and prediction of text classification. In

addition to that, feature reduction is

also important and necessary when

dealing with a large volume of data

IMPLEMENTATIONSEARCH BY CATEGORY:

SEARCH BY LOACTION:

TEST PLAN

The purpose of testing is quality assurance, verification and

validation, or reliability estimation.

Unit Testing

Component testing

Integration testing

Validation Testing

System Testing

REFERENCES

[I] Ching Hsu .Taiwan, National Formosa University,2011.

[2] I.Jntema, F.Frasincar, F.Goossen and F.Hogenboom, Erasmus University Rotterdam, 2010

[3] M.Shea and M.Levene, University of London, UK, 2011

[4] Z.Rui-juan , Z. Yang-sen, 9th International Conference,2012

[5] S.Saha, A. Sajjanhar, S. Gao, R.Dew and Y. Zhao,0 IEEE 10th International Conference,2010

[6] Sajjanhar, A. Ying Zhao, ChinaGrid Annual Conference (ChinaGrid), 2012

[7] S. Sarumathi , (PRIME)International Conference,2012

[8] F.Goossen, W.IJntema, F.Frasincar, F.Hogenboom, U.Kaymak, Erasmus University Rotterdam.2011

THANK YOU