law and order research

1. PROJECT PROPOSAL
Law and Order

2. Supervisor
Dr.Samantha Thelijjagoda
Co - supervisor
Mr.Anupiya Nugaliyadde
Group Members
Dharmasiri G.D.N.P – IT13120412
P.D.B.L Gunathilake – IT13249212
I.U.I Pathirana – IT13115012
Senevirathne S.M – IT13042820
Nayana Dharmasiri

3. Table of Content
Introduction
Background
Research Problem
Literature Review
Solution
Technologies
Non Functional Requirements
Business Model
Significance
Nayana Dharmasiri

4. Introduction
Law of Sri Lanka.
Law literacy in the country.
The detailed scope.
Nayana Dharmasiri

5. Background
Serve the people in need of knowing more
about law.
Search engine consist of irrelevant data
regarding law.
Providing a way to get the law information.
Nayana Dharmasiri

6. Research Problem
Complexity of law
Unawareness of law
Difficulty in finding law Cases and law Reports
Nayana Dharmasiri

7. Literature Review
Research and Development of Search Engines
• First search engine was Archie created by Alan Emtage.
• Web crawler was introduced in 1994.
• Then Lycas became first search engine.
• Later on Google became the first in the market.
Research and Development of Natural Language Processing
• Field concerned with interaction between computer and human
languages.
• Alan Turing published computing machinery and intelligence article.
• Georgetown experiment in 1954 on translating Russian sentences into
English.
• Late research on unsupervised and semi managed learning calculation.
Umavi Pathirana
Nayana Dharmasiri

8. Comparison through Literature Review
System
Function Google Search
Engine
Yahoo Search Engine Law and Order Search
Engine
Information With Simple
Words. X X
Details of particular lawyers
for existing law areas. X X
Consist of all cases
categorized according to
particular law areas.
X X
Consist of all law reports
categorized according to
particular law areas.
X X
Umavi Pathirana

9. Solution
Providing a unique search engine specially for law
Providing all law cases, law report and law conventions
Providing law conventions in simple English
Providing steps to handle particular situations
User Friendly Search Results
Providing convenient data taken from the Law Commission
Committee
Umavi Pathirana

10. System High level Diagram
Original Document
Documents with Simple form
of data
Search Engine
Information Extraction
Information
Retrieval
Searching
User
Result
Umavi Pathirana

11. Functioning of the System
Umavi Pathirana

12. Components
• Information Extraction
• Information Retrieval
• Question Analzysis
• Answer Generalition
Sajani Senevirathne

13. Information Extraction
• Information Extraction Methods
Utilize Artificial Intelligence Strategies.
Machine Learning Calculations.
• Information Extraction Techniques
Syntactic rules.
Fundamental natural language processing
techniques.
Sajani Senevirathne

14. Sentence
segmentation
Tokenization
Part of speech tagging
Entity detection
Relation detection
Raw text
(string)
Sentences
(list of string)
Tokenized sentences
(list of lists of string)
POS-tagged sentences
(list of lists of tuples)
Chunked sentences
(list of trees)
Relations
(list of tuples)
Information Extraction
Sajani Senevirathne

15. Information Retrieval
• Retrieve Information
• Full text Indexing
 Numeric scoring
• Obtaining information from file system
Sajani Senevirathne

16. Methods used for Information Retrieval
• Topic based smoothing.
• Relevance models.
• Translation based models.
Sajani Senevirathne

17. Index
Top-k retrievalIndexer
User query
Documents
Results Page
Ranking
model
Learning
algorithm
Training
data
Information Retrieval
Sajani Senevirathne

18. Question Analysis
• Question Processing
• Answer type detection
• Query Formulation
• Passage Retrieval
Sajani Senevirathne

19. Question Analysis
Sajani Senevirathne

20. Answer Generation
• Answer Processing
• Knowledge based question answering
 Rule – based methods (For relations that are very
frequent)
 Supervised methods (For questions paired with their
correct logical form)
 Semi – supervised methods (Dealing other variations)
• Implement Web UI
Bashitha Guanthilake

21. Answer Generation
Bashitha Guanthilake

22. Technologies
• Natural Language Processing
• Natural Language understanding
• Python
• Natural Language Tool Kit
• HTML 5 / CSS
Bashitha Guanthilake

23. Non Functional Requirements
• Availability
• Reliability
• Integrity
• Consistency
• Usability
Bashitha Guanthilake

24. Business Model
Key Activities Value Propositions Customer Segments
Key Resources
Cost Structure
Managing law
information
Providing
information in
simple form
Conventions
Law reports
Law cases
File server cost
Web search
OS and
platforms
Android, iOS
Internet Users
Lawyers
Law Students
Bashitha Guanthilake

25. Significance
This study will be mainly beneficial to the lawyers and
law students
Lawyers and law students can be assured of a
significant advantage.
Significant aspire in making it easy to search anything
about the law for the citizens.
serve as a future reference for researchers on the
subject of producing a search engine.
Bashitha Guanthilake

26. Thank You