A MultiLanguage Information Searching Tool

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A Multi-Language Information Searching Tool

• Presentation for Master Thesis Defense
• Siritorn Srisodsai
• Supervisor Dr.Samira Sadaoui

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Outline

• Problem Statement
• Proposed Solution
• Background
• Multi-Language Information Searching (MLIS)
• Functional Requirements
• Architecture and Design
• Conclusions
• Future Work

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1. Problem Statement

• Information Retrieval
• Language Obstructions
• Documents found in unknown languages to users
• Search services confound the concept of the
  Internet
• Not a Meaning-Oriented Search
• No consideration of keywords meaning
• Enormous amount of documents
• No support of documents categorization

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2. Proposed Solution

• Objectives
• To develop a novel tool, namely Multi-Language
  Information Searching (MLIS).
• To support a meaning-oriented search.
• To categorize enormous documents based on
  documents languages.
• To display information understandable by users.

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3. Background 3.1 Agents 3.2 Web Services 3.3
Jadex
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3.1 Agents Types Characteristics
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3.2 Web Services

• Web-based applications or services that provide
  remote assistance to users
• Examples
• Search services
• Translation services of keyword and web pages

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3.3 Jadex Framework

• Features
• Java-based system
• FIPA-compliant
• Goal-orientation
• Jadex Control Center (JCC)

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3.3 Jadex Framework

• Agents with the Jadex framework
• Multi-Agent System (MAS)
• Belief-Desire-Intention (BDI) model
• Parallelism Concept

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4. Multi-Language Information Searching Tool
(MLIS)
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4.1 MLIS Specification
Keyword Translation
Search Service
ltltincludegtgt
ltltincludegtgt
Retrieve Information
ltltincludegtgt
Web Page Translation
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4.2 MLIS Architecture
The Internet

MLIS Agent
-
based System
(MLIS)

requests
creates

Keyword

services

uses

accesses

Translation

Translator

Translation

Manager
Agent

Agents

Service
s


uses

Web
Server

GUI

Translation

accesses

Service
s


uses

accesses

Search

Search

Search

Services

requests
Manager
Agent

Agents

creates

services

Interface agent
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4.4 Parallel Processes in MLIS
Keywords

• Running in parallel
• Hidden from users
• Support meaning-orientated search

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4.4 Example of Interaction in MLIS
GUI
SM
TM
NOTE TM Translation Manager SM Search
Manager SAi Search Agent i
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4.5 A Comparison
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4.5 A Comparison (Cont.)
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4.6 Benefits

• Flexibility
• Generic design
• Addition and removal agents
• A maintainable architecture
• Service-independent allowing employment of
  different service providers
• Performance
• Integration and enhancement of existing search
  engines

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4.6 Benefits (Cont.)

• User friendliness
• Hidden complicated processes
• Categorization of documents based on languages
• Accessibility of the right documents
• Approach of multiple web pages
• Portability
• Platform-independent
• Web Application

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5. Conclusions

• Integrate and enhance the performance of existing
  search engines
• Implement simultaneous services for searching and
  translating
• Provide searching tool with platform- and
  service-independent
• Include meaning-orientation

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6. Future Work

• Improve services for language translation
• Develop a parser tool for document transformation
• Improve meaning-orientation with keywords
  definitions

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Questions?