AID for news press in semantic web applications

FINAL PAPER

SUBMITTED TO PHD. ESSAM FAKHARANI

BY MOATAZ MAHMOUD

2

Agenda

Introduction Motivations Problem Definition Objectives - Project Goals

Proposed Model Frame Work Model Description Problem Solving

Conclusion New Technology

3

Introduction - Motivation

End-user viewing and analyzing news from various news sources, faces some problems as:

They have to subscribe to various RSS feeds Aggregators has in general categories Categories can contain out of scope news as Mrs. “Monica

Lewinsky” news when viewing the politics category. Aggregators search results are based on keywords rather

than concepts, thus not all the top news are revealed. Search engines allow limited number of keywords. (e.g.

Google’s input string is limited to 2048 bytes and 10 individual words) By Eric Tholomé, Director, Developer Products *

* http://googlecode.blogspot.com/2009/08/well-earned-retirement-for-soap-search.html

4

Introduction - Problem Definition

Raise RSS feed Security Issues Viruses & JavaScript's can be in the enclosure of the feed.

RSS feed Retrieval RSS feeds has different versions News element can be included in more than RSS feed Two different news topics may refer to similar concept

The need to search semantically Searching with keywords is done linguistic toward keywords, plus

some other ranking algorithms - by Joseph Novak, Alberto Canas *

End-users may not be able to describe their interest with few keywords – by Joseph Novak, Alberto Canas *

* http://www.stanford.edu/dept/SUSE/projects/ireport/articles/concept_maps/The Theory Underlying Concept Maps.pdf

5

Introduction – Objectives

Collect news from various desired RSS feeds News represented from submitted keywords Retrieval is based on the concept of keywords Eliminate duplicates linguistically & semantically Retrieval by partial match of meaning rather than exact match of

keywords

Retrieve from any RSS Feed

Retrieve and representby the semantics of keywords

Eliminate linguisticallyAnd semantically duplicates

Retrieval by partialmeaning rather thanKeywords match

6

Concept map

User Keywords

RDF

File

Proposed Model – Frame Work

RSS FeedsOWL ontology generator layer

   RSS OWL Ontology

MAIN Concept OWL Ontology

   

Fuzzy Sensing Layer

Feature vectors transformation

Semantic matching by correlation computation

WriteMatchRDF

JenaStoreAPI

Jena’s querySPARQL API

7

Concept map constriction Well constructed concept map characteristics by Joseph Novak *

Convert concept map to XML

Owl ontology generatorFuzzy sensing layerRepresentation layer

Proposed Model – Description

* http://www.stanford.edu/dept/SUSE/projects/ireport/articles/concept_maps/The Theory Underlying Concept Maps.pdf

8

Description

Describe the project in non-technical termsUse following slides for discussing status,

schedules, budget, etc.

-for more info…List location or contact for specification (or other related documents)

9

Competitive Analysis

Competitors You may want to allocate one slide per competitor

Strengths Your strengths relative to competitors

Weaknesses Your weaknesses relative to competitors

10

Competitive Analysis, Cont.

Competitors Strengths Weaknesses

-for more info…List location or contact for competitive analysis (or other related documents)

11

Technology

New technology being used Benefits

Standards being adopted Benefits

Standards specifically being ignored Drawbacks & benefits

DYA: define your acronyms!

12

Team Resources

State assumptions about resources allocated to this project People Equipment Locations Support & outside services Manufacturing Sales

13

Procedures

Highlight any procedural differences from usual projects of this type

Discuss requirements, benefits, and issues of using new procedures

-for more info…List location or contact for procedures document (or other related documents)

14

Schedule

Review high-level schedule

-for more info…List location or contact for detailed schedule (or other related documents)

15

Current Status

High-level overview of progress against schedule On-track in what areas Behind in what areas Ahead in what areas

Unexpected delays or issues

16

Related Documents

Marketing plan Location or contact name/phone

Budget Location or contact name/phone

Post-mortem Location or contact name/phone

Submit questions Location or contact name/phone