Dr. Mukesh Mohania
Title: Data Analytics, Integration and Business Intelligence
Synopsis
The growth of
organizations invariably leads to creation of multiple isolated
data sources which are totally disconnected from each other.
This leads to reduced efficiency and lack of complete knowledge
of the enterprise and its customers while making critical
business decisions. This is the classical Information
integration problem which has become the biggest pain point for
enterprises today. Information Integration has received
considerable attention from researchers in academia as well as
industry in the recent past. Information integration refers to
the category of middleware which lets applications access data
as though there were in a single database.
The popularity of information integration has lead to it being
used in diverse domains. Each domain has its peculiar
requirements; like in some domains it is not feasible to know
the schema of all the data sources whereas in some domains the
information integration has to be aware of the users access
rights. Such requirements lead to new approaches for doing
information integration. In this talk, we will discuss new
trends and techniques for integrating information that provide
organizations the ability to generate insights that would not be
normally obtained by analyzing either type of information source
(structured or unstructured) independently. We further show that
this new way of integrating information has several applications
in the area of active data warehousing, semantic search, and
business intelligence for providing real-time and personalized
analytics in the CRM domain.
Brief Biography
Mukesh Mohania received his Ph.D. in Computer Science &
Engineering from Indian Institute of Technology, Bombay, India
in 1995. He was a faculty member in University of South
Australia and Western Michigan University from 1995-2001. He was
also associated with Kyoto University and Purdue University as
Senior Research Fellow from 1996-2001. Currently, he is a senior
manager in IBM India Research Lab, and leading information and
interaction team. He has worked extensively in the areas of
distributed databases, data warehousing, data integration, and
autonomic computing, and has published more than 100 papers in
these and related areas. He also holds more than 20 patents on
his name. He was awarded Technical Achievement Award in the area
of Web Database Management and Data Warehousing by Association
of Database and Expert Systems Applications in Greenwich, U.K.,
2000. He received the best paper award for his XML and data
integration work in CIKM 2004 and CIKM 2005, respectively. He
was also a recipient of the "Excellence in People Management"
award in IBM India in 2007. He received the “Outstanding
Innovation Award” from IBM Corporation in 2008 for his
Context-Oriented Information Integration work. He is an IEEE
Distinguished Speaker.
|
Dr. Liana Rahmerita
Title:
User Modelling and Semantic-Enhanced Information systems
Synopsis/Abstract
The
design of advanced information systems is a continuous
challenge for modern organizations. Information systems
featuring intelligence have recently implemented as complex
applications with modular architecture relying on web
services, integrating user modeling, machine learning
approaches, semantic web technology and/or agent-based
technology. This talk will discuss some of the challenges
and opportunities opened by semantic web technology and user
modeling for a next generation of information systems.
Personalization tends to become one of the most important
features given the fact that we are overloaded with data and
information. In order to support personalized interaction
with the users, information systems need to construct or
access and maintain a user model. Furthermore apart
personalization, user modeling is a
key component for providing enhanced features like:
expertise discovery, networking, collaboration and learning
(Rahmerita, 2007).
Within this session we will discuss methodological,
technical and application aspects of user modeling and
semantic web technology for semantic-enhanced information
systems. In particular we will discuss some of the lessons
learned within the effort to build a semantic-enhanced
information system, evaluation results and problems left to
be addressed. Within this talk I will address and try to
answer a number of opened questions such as:
·What is the role of semantics for users and information
systems?
·What are the actual main limitations and issues to be
overcome in the next years?
.What
will be the new capabilities of a future generation of
semantic-enhanced information systems?
Brief Biography
Liana Rahmerita is Assistant
Professor at Copenhagen Business School, Centre of Applied
Information and Communication Technologies. She
holds a PhD in computer science from
University Paul Sabatier, Toulouse, France. She has worked
extensively on international and European funded research
projects conducting research on the role of user/student
modeling, ontology-based representation, web services,
Social and Semantic Web within the areas of information
systems design and implementation, Knowledge Management,
e-Learning and e-Government. She has served as program
committee member in several international conferences and
workshops. She has published more than 40 refereed papers
including journal articles, book chapters and conference
papers in domains such as: Knowledge Management, User
Modeling, e-Learning and e-Government.
|