Joint International Doctoral (Ph.D) degree in Law, Science and Technology

ENIAFE FESTUS AYETIRAN Doctoral candidate of Joint International Doctorate in Law, Science and Technology Contact details: e-mail.: eniafe.ayetiran2@unibo.it. Phone: +34651599932

AN INTELLIGENT HYBRID APPROACH FOR IMPROVING RECALL IN E-DISCOVERY

Conclusion METHODOLOGY CONT….

INTRODUCTION E-discovery - the discovery and production of electronically stored information (ESI) sought by an opposing party during litigation for the purpose of evidence to support a legal argument, is an important area that poses difficulties for lawyers, litigants and the entire court all alike. Discovering and producing required document(s) among huge volume of d a t a c r e a t e d a n d s t o r e d electronically in various formats, in repositories is a big challenge which needs to be addressed. Poor recall a n d p r e c i s i o n o f p ro d u c t i o n documents can have adverse effect on litigations. We aim to develop a system to address these issues with the overall goal of improving recall of responsive documents while also maintaining a high degree of precision.

PROBLEM STATEMENT Query Query expansion Figure 1: Illustration of the E-dicovery System

RESEARCH AIM & OBJECTIVES

The problem statements have been formulated in the following research questions as follow: ! How can we improve recall with a single query irrespective of the terminologies used? ! How can we produce accurate query result while avoiding several queries by users in the name of relevance feedback? ! How do we produce a scalable system to handle several documents usually involved in E-discovery. ! How we handle the heterogeneous nature of document formats within the document collection for appropriate classification?

The aim of this research to develop a scalable E-discovery tool that will achieve the following objectives: ! Increase the recall of responsive documents ! Retr ieve responsive documents irrespective of the format ! Captures the semantic of the user query and retrieve accordingly without relevance feedback

METHODOLOGY

www.last-jd.eu

User Interface

WSD System

Indexing &Search System

Document Collection

Responsive Documents

! Development of a technique for word sense disambiguation of query based on semantic relationship among query terms using a knowledge-based approach. ! Query expansion using the result of word sense disambiguation for constructing term dictionary for indexing and classification. ! Development of a independent document-format platform for reading and indexing documents of varying formats. ! Document classification using vector space classification. This involves a lot of processes which includes document-term dictionary development, indexing, dictionary compression etc

It is believed that this approach wi l l g reat l y enhance the ultimate goal of recall in during E-discovery task as most classical challenges have been identified for solution