Faculty Research Areas Labs/Centers Meetings

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Faculty Research AreasLabs/CentersMeetings
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Areas

• Artificial Intelligence
• Bio-Informatics
• Databases
• Graphics, Image Processing and Multimedia
• Networks
• Pervasive Computing
• Software Engineering
• Systems and Architecture
• Security

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Artificial Intelligence

• Manfred Huber
• Farhad Kamangar

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Manfred Huber

• Research Projects
• Personal Service Robots
• Hierarchical Skill Acquisition
• CONNECT - Information Technologies
• for the Disabled
• Contact
• huber_at_uta.edu (GACB114)

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Farhad Kamangar

• Research Projects
• Computer Vision
• Neural Networks
• Robotics
• CONNECT - Information Technologies
• for the Disabled
• Contact
• kamangar_at_uta.edu (GACB 112)

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Bio-Informatics
Dr. Jean Gao 338 Nedderman Hall Phone (817)
272-3628 E-mail gao_at_cse.uta.edu URL
http//crystal.uta.edu/gao

• Dr. Nikola Stojanovic
• 301 Nedderman Hall
• Phone [phone]
• E-mail nick_at_cse.uta.edu
• URL http//ranger.uta.edu/nick

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http//www.washbac.org/images/farside.gif
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What is BIOINFORMATICS?

• Have you ever thought that a cure for cancers
  could be developed by people working at their
  computers?

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What is BIOINFORMATICS?

• Have you ever thought that a cure for cancers
  could be developed by people working at their
  computers?

it will probably happen exactly that way
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What is BIOINFORMATICS?

• Have you ever thought that a cure for cancers
  could be developed by people working at their
  computers?
• Modern high-throughput technologies are
  generating tremendous volume of data - somebody
  needs to store and manipulate the data, generate
  reports and share them with the scientific
  community.

it will probably happen exactly that way
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What is BIOINFORMATICS?

• Have you ever thought that a cure for cancers
  could be developed by people working at their
  computers?
• Modern high-throughput technologies are
  generating tremendous volume of data - somebody
  needs to store and manipulate the data, generate
  reports and share them with the scientific
  community.

it will probably happen exactly that way
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What is BIOINFORMATICS?

• Have you ever thought that a cure for cancers
  could be developed by people working at their
  computers?
• Modern high-throughput technologies are
  generating tremendous volume of data - somebody
  needs to store and manipulate the data, generate
  reports and share them with the scientific
  community.
• Can we turn that data into information, and
  eventually knowledge?

it will probably happen exactly that way
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What is BIOINFORMATICS?

• Have you ever thought that a cure for cancers
  could be developed by people working at their
  computers?
• Modern high-throughput technologies are
  generating tremendous volume of data - somebody
  needs to store and manipulate the data, generate
  reports and share them with the scientific
  community.
• Can we turn that data into information, and
  eventually knowledge?

it will probably happen exactly that way
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http//bioinformatics.ubc.ca/about/what_is_bioinfo
rmatics/
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http//bioinformatics.ubc.ca/about/what_is_bioinfo
rmatics/
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http//bioinformatics.ubc.ca/about/what_is_bioinfo
rmatics/
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Biotechnology and pharmaceutical industry

• Biotechnology and pharmaceutical industry
  revenues are estimated at hundreds of billions of
  dollars annually.
• The industry's claim is that they spend 800
  million on research development for every new
  drug which receives FDA approval.
• Much of the RD efforts are pursued
  computationally these days.

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Biotechnology and pharmaceutical industry

• Biotechnology and pharmaceutical industry
  revenues are estimated at hundreds of billions of
  dollars annually.
• The industry's claim is that they spend 800
  million on research development for every new
  drug which receives FDA approval.
• Much of the RD efforts are pursued
  computationally these days.
• This is a large and growing industry - whether in
  RD or just software support, you may see
  yourself working for one of these companies in a
  few years.

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http//bioinformatics.uta.edu
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Bioinformatics lab projects

• Motif discovery in DNA sequences.
• Identification and characterization of mobile
  elements in DNA.
• Studying structure and conservation patterns in
  genomic sequences.
• Characterization of chromosomal recombination
  patterns.
• Studying human genetic variation and its relation
  to disease susceptibility.

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Bioinformatics lab projects

• Motif discovery in DNA sequences.
• Identification and characterization of mobile
  elements in DNA.
• Studying structure and conservation patterns in
  genomic sequences.
• Characterization of chromosomal recombination
  patterns.
• Studying human genetic variation and its relation
  to disease susceptibility.

Research funded by the National Institutes of
Health, and preformed in collaboration with UTA
Biology Department and the University of Texas
Southwestern Medical Center in Dallas.
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UT Arlington, October 17-18, 2008
http//www.biotconf.org
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Databases

• Sharma Chakravarthy
• Ramez Elmasri
• Leonidas Fegaras
• Gautham Das
• Chengkai Li

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Information Technology LaboratoryProf. Sharma
ChakravarthyEmail sharma_at_cse.uta.edu, URL
http//itlab.uta.edu/sharma
Funding Sources NSF, Spawar, Rome Lab, ONR,
DARPA, TI, MCC

• Select Projects
• InfoMosaic (information integration from
  heterogeneous sources)
• MavEStream (Event and Stream Processing)
• Active Technology (Push Paradigm, pub/sub,
  event-driven architectures)
• WebVigiL (General Purpose Change Monitoring for
  the web)
• Mining Graph, Text, Assoc Rules
• Prediction of Event Patterns
• Information Search, Filtering, and
  classification
• Information Security
• Mobile Caching

• Select Publications
• 1. R. Adaikkalavan and S. Chakravarthy, Event
  Specification and Processing for Advanced
  Applications Generalization and Formalization,
  DEXA Sep 2007
• A. Telang, R. Mishra, and S. Chakravarthy,
  Ranking Issues for Information Integration,
  DBrank workshop (ICDE 2007), Turkey, 2007.
• S. Savla and S. Chakravarthy, Efficient Main
  Memory Algorithms for Significant Episode
  Discovery, To appear in the Intl Journal of Data
  warehousing and Mining, 2006.
• R. Balachandran, S. Padmanabhan, S. Chakravarthy
  Enhanced DB-Subdue Supporting Subtle Aspects of
  Graph Mining Using a Relational approach in
  PAKDD, 2006
• A. Srinivasan, D. Bhatia, and S. Chakravarthy,
  Discovery of Interesting episodes in Sequence
  Data, in 21st ACM SAC, Data Mining Track, 2006.
• M. Aery, S. Chakravarthy eMailSift Email
  Classification Based on Structure and Content in
  IEEE ICDM 2005
• H. Kona, S. Chakravarthy, and A. Arora, SQL-Based
  Approach to Incremental Association Rule Mining,
  in ADBIS Workshop on DMKD, 2005.
• Q. Jiang, R. Adaikkalavan and S. Chakravarthy,
  NFMi An Inter-domain Network Fault Management
  System. IEEE ICDE, 2005.
• R. Adaikkalavan, and S. Chakravarthy Active
  Authorization Rules for Enforcing Role-Based
  Access Control and its Extensions, PDM Workshop,
  IEEE ICDE, 2005.
• L. Elkhalifa, R. Adaikkalavan, and S.
  Chakravarthy, InfoFilter A System for Expressive
  Pattern Specification and Detection Over Text
  Streams, ACM SAC, 2005.
• .

People PhD Students Mr. Aditya Telang
(Adi) Ms. Roochi Mishra Masters Students Mr.
Mayur Motgi Mr. Supreet Chakravarthy Mr. Aamir
Syed Group Meeting 1 Pm to 2 Pm on
Fridays in NH 232
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Ramez Elmasri

• Professor
• Databases
• Distributed XML Querying and Caching
• Object-Oriented Databases
• Keyword-based XML Query Processing
• Sensor Networks
• Energy-Efficient Querying of Sensor Networks
• Combining RFID and Sensor Networks
• Indexing of Sensor Networks Data
• Bioinformatics
• Modelling Complex Bioinformatics and Biomedical
  Data
• Mediators for Accessing Heterogeneous Data Sources

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Leonidas Fegaras

• Associate Professor
• (PhD UMass 1993)
• Areas of interest
• Databases
• Web Databases and XML
• Object-Oriented Databases
• Query Processing and Optimization
• Data Management on Peer-to-Peer Systems
• Programming Languages
• Functional Programming
• Program Optimization

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Research Review Gautam Das

• Database Exploration
• Web/Information Retrieval searching techniques in
  databases
• OLAP, Data Warehouse, Approximate Query
  Processing
• Data Mining
• Clustering, Classification, Similarity models,
  Time-Series Analysis
• Algorithms
• Graph Algorithms, Computational Geometry
• More information available at
• http//ranger.uta.edu/gdas/website/research.htm

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Graphics Image Proc., Multimedia

• Ishfaq Ahmad
• Multimedia Authoring, Compression, Communication
• Video Processing,
• Next Generation TV
• Network Security
• Parallel Algorithms
• Dr. Gutemberg Guerra-Filho
• Computer Vision, Animation, and Humanoid Robotics
  

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Prof. Ishfaq Ahmad

• Dr. Ahmad works closely with federal agencies,
  Arlington police and multimedia industry.
• Several projects in power-aware video
  compression, multimedia systems, next generation
  TV are being pursued in his lab.

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High-Performance

• Ishfaq Ahmad
• Resources Management in Parallel and Distributed
  Systems
• Power Management in Data Center and Distributed
  Systems

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http//www.iris.uta.edu/
Institute for Research in Security (IRIS)
Ishfaq Ahmad
A Multi-disciplinary center focusing on
infrastructure, people, and environmental security
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Networks

• Sajal Das
• Mohan Kumar
• Gergley Zaruba
• Hao Che
• Yonghe Liu

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Sajal K. Das
Center for Research in Wireless Mobility and
Networking (CReWMaN) Sajal K. Das, Mohan
Kumar Yonghe Liu, Hao Che das_at_cse.uta.edu URL
http//crewman.uta.edu Woolf Hall 411,413, Tel
2-7409 Networking, Mobile Computing and Parallel
Computing Research Group
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Mohan Kumar Pervasive and Mobile
Computing Sensor Systems

• Pervasive Computing
• Middleware
• Service creation, composition and deployment
• Prototype development
• Sensor networks and smart environments
• Information Fusion in pervasive/sensor
  environments
• Uniform Information Access in
• Distributed, mobile and pervasive systems
• Caching, prefetching, and broadcasting
• Data management
• Peer-to-Peer (P2P) Systems
• Information and service sharing
• Efficient communication and collaboration
• Security and privacy
• Active and Overlay Networking
• Novel protocols
• Role in mobile, pervasive and P2P computing

Recommended courses before starting thesis work
CSE5311, CSE5346,CSE5306 and CSE5347/5355 Directe
d Study
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Gergely Zaruba

• Research Projects
• Personal Area Networks
• Heterogeneous Wireless Networks
• Architecture, Admission Control and Handoff
• Optical Networks
• Optical Burst Switching, Routing, QoS
  Provisioning
• Traffic Modelling
• Contact Zaruba_at_uta.edu (GACB 112)

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Hao Che

• Embedded hardware/software design for NG network
  processors
• Traffic engineering
• Implementation issues and software development
• MPLS path protection and fast rerouting
• Routing redundancy
• Traffic modeling for wireless networks
• Contact http//crystal.uta.edu/hche/
• hche_at_uta.edu

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Yonghe Liu

• Sensor network and security
• Prototyping and experimental study
• Theoretic design and analysis
• Cross layer optimization
• Channel dependent performance
• Software security
• Design and analysis
• In need of
• Strong mathematic skill (probability/signal
  processing/number theory/etc), or
• Strong programming skill (hardware/software)
• Contact http//ranger.uta.edu/yonghe/

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Software Engineering

• David Kung
• Yu Lei
• Dr. Christoph Csallner
• Arthur Reyes
• David Levine

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David Kung

• Agent-Oriented Software Engineering
• Testing Object-Oriented Software
• Expert System for Design Patterns
• Formal Methods for Quality Assurance
• Fault Tolerance and Automatic Recovery Using
  Dynamic Class Diversity

Contact http//ranger.uta.edu/kung/kung.html
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Yu Lei

• Concurrent and real-time software systems
• Race analysis, Deterministic Execution
  Environment, Reachability Testing, State
  Exploration-Based Verification
• Automated software testing
• Object-Oriented Testing, Component-Based Testing,
  Combinatorial Testing

Contact http//ranger.uta.edu/ylei
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Arthur Alexander Reyes, Ph.D.

• Autonomous Vehicles Laboratory
• Faculty Advisor, along with MAE, IE faculty
• AUVSI Student UAV Competition
• 2004 team didnt place
• 2005 team won 1st Place Overall
• 2006 team won 3rd Place Overall
• Teaches
• CSE 4310/5323 Software Eng. Processes
• CSE 4321 Software Testing
• CSE 4392 Game Development (new)
• http//ranger.uta.edu/reyes/

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David Levine High Throughput Computational
Science Clusters and Grids

• David Levine, CSE_at_UTA
• Projects (Computers applied to)
• High Energy Physics, Bioinformatics,
• Medical Informatics, People with
• Disabilities, Streaming Processing, other..

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Software EngineeringResearch Center
Check out the lab NH 246

• Faculty members
• Dr. Christoph Csallner
• Dr. Dave Kung
• Dr. Jeff Lei

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Software Engineering

• Software has become pervasive in modern society
• Directly contributes to quality of life
• Malfunctions cost billions of dollars every year,
  and have severe consequences in a safe-critical
  environment
• All about building quality software, especially
  for large-scale development
• Requirements, design, coding, testing,
  maintenance, configuration, documentation,
  deployment, and etc.

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THE Best Job in America
What is the 2nd best job?
Go for a PhD in Software Engineering!!
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Great Impact
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Quotes from Dr. Parnas
Extracted from his ACM Fellow Profile http//www.s
igsoft.org/SEN/parnas.html
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Current Research Projects

• Object-Oriented Software Analysis and Testing
  (Dr. Kung)
• Software Security Analysis and Testing (with Drs.
  Kung and Liu)
• Pervasive Context-Aware Computing (with Dr.
  Kumar)
• Formal Testing and Verification of Concurrent
  Software Systems (with GMU)
• Automated Combinatorial Testing for Software
  (with National Institute of Standards and
  Technology)
• Interaction Testing of Web Applications (with
  UMBC)

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Current Research Projects

• Hybrid static-dynamic program analyses
• Automatic test case generators
• JCrasher, Check n Crash, DSD-Crasher
• New Testing of database-centric applications
• OrmCheck with
• ToDo Support complex languages like UML
• New Dynamic symbolic invariant detector
• Pex/DySy with
• ToDo Scale analysis to large applications
• ToDo Add static knowledge to dynamic inference

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If you want to improve..
..come talk to us
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Embedded Systems Roger Walker

• Embedded Systems for Transportation Applications
• Real-time Multi-core Systems for Embedded
  Applications
• Stochastic Modeling From Sensor Measurements
• Development of Special Measurement Systems for
  Transportation Related Applications

Contact http//ranger.uta.edu/walker/
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Information Security
Donggang Liu Matt Wright
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One aspect of security

• Operational Security
• Classified material can be leaked based on how
  its used or through side effects
• Dominos Pizza Anyone?
• Last Wednesday, he adds, "we got a lot of
  orders, starting around midnight. We figured
  something was up." This time the news arrived
  quickly Iraq's surprise invasion of Kuwait.
• "And Bomb the Anchovies", Time, p. 13, 8/13/90

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Wireless and System Security Donggang Liu

• Security in wireless sensor networks
• key management, security of services such as
  localization, routing, clustering etc.
• Integrity of wireless embedded devices
• Code integrity, tamper-resistant techniques
• Software and system security
• Security testing, detection of malicious code
• Contact http//ranger.uta.edu/dliu

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Network Security and Privacy Matthew Wright

• Anonymous Communications
• timing analysis, performance, new defenses
• Stepping-Stone Detection
• Interplay between attack and defense
• Incentives in Security and Privacy
• Trust in complex, ad-hoc environments
• Contact http//ranger.uta.edu/mwright

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Computer Science and Engineering DepartmentThe
University of Texas at Arlington
Assist Laboratory
F. Kamangar, M. Huber, D. Levine, G. Zaruba
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Information Technologies for Persons with
Disabilities and Health Care

• Assistance for Persons with Disabilities
• Communication devices and technologies
• Intelligent assistive devices
• IT for improved care
• Information Technologies for Healthcare and
  Aging
• Automatic health monitoring
• Intelligent environments
• IT to improve uniform communication needs

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Connect - Intelligent Communication Technologies
for Disability Health Care

• Intelligent communication services connect
  individuals with care providers and with
  important information
• Seamlessly connected devices
• Adaptive interfaces
• Universal underlying
• software architecture
• Intelligent information
• analysis and interpretation
• Seamless, omnipresent
• access to information

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Assistive Technologies

• Computer Technologies Can Enhance Assistive
  Devices
• Ayuda Intelligent wheelchair
• Autonomous navigation capabilities
• Environment sensing
• Integration of computer control and user
  instructions
• Force feedback technologies to enhance
  interaction capabilities for persons with
  physical disabilities

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Health Monitoring and Intelligent Environments
for Aging in Place

• Wirelessly Connected Sensors Provide Health
  Information and can Improve Quality of Life
• Health sensors can monitor conditions and detect
  problems
• Wireless communications permit continuous
  monitoring
• Prediction and modeling technologies facilitate
  automatic analysis of the data
• Communication technologies allow connectivity to
  physician
• Sensors in the environment allow automation of
  important functions and assistance
• Monitoring and assistance for Aging in Place

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Computer Science and Engineering DepartmentThe
University of Texas at Arlington
AI and Robotics Laboratory
M. Huber, F. Kamangar
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Adaptation and Learning in Robots and Computer
Systems

• Personal Service Robots
• Service robots have to interact with people
• Programmability by unskilled users
• Robustness in real world situations
• Variable Autonomy
• Robots have to be easy to program
• Robots should understand any kind of user
  command
• Cognitive Development
• Computer systems have to learn how to act and
  reason in the world

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Robot Imitation Programming by Demonstration

• Learning to Sense
• Imitating robots have to be able to interpret
  their observations
• Learning to Relate Human Demonstrations to
  Robot Actions
• Learning to extract the important aspects of
  human actions
• Translating human actions into corresponding
  robot controls
• Learning to Interpret Task Requirements
• Robots have to be able to learn to ignore
  dangerous commands

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Hierarchical Skill Learning / Cognitive
Development

• Learning Behavioral Strategies
• Adaptation to unknown conditions
• Automatic extraction of subtasks
• Hierarchical Learning
• Learning with abstract actions
• Learning using state abstractions
• Facilitation of incrementally more complex
  behavior

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Robot Activities and Platforms

• Robot Soccer (RoboCup)
• Autonomous robotic soccer with robot dogs
• Student team
• Computer Game Trials
• UCT Urban Combat Testbed

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HERACLEIA
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Participating Faculty
Professor Fillia Makedon Bioinformatics Mobile
and Pervasive Computing
Professor Heng Huang Bioinformatics Multimedia
and Video Processing
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HERACLEIA Security Projects

• Open Collaboration System
• How can we enable any entity to join a
  collaboration group in a P2P environment?
• Entities can log on to system with any names they
  want.
• Collaborative groups can be created by any entity
  and share files in a P2P fashion.
• Our OC System supports operations on groups,
  roles and shared files.

• Certified Authority Project
• Short-lived certificates(SLC) are used to prevent
  unofficial information propagation which can take
  place due to various causes
• We use forward secure signatures in SLCs and cut
  off the cost for the revocation.

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HERACLEIA Sensor Localization Projects

• Geographical Distributed Localization (GDL)
• Localization is a fundamental Problem in Wireless
  Sensor Networks.
• Our GDL protocols support both static and mobile
  node localization
• We use a novel computational model for
  localization.

• Wormhole Detection Project
• How can we protect Wireless Sensor Networks in
  hostile environments?
• We have developed a distributed wormhole
  detection algorithm based on static GDL to detect
  as well as locate wormholes inside the network.

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HERACLEIA Location Privacy Projects

• Location privacy in sensor networks
• How can we protect the location privacy of the
  sources of messages in a sensor network?
• We create routing traps to confuse the attackers.

• Sensor network anonymity project
• Location sensors can be attached to peoples cell
  phone and medical sensors can be attached to
  human body to monitor vital signs.
• In such sensor networks, anonymity of
  participants needs to be protected.
• We use one-way hash chains to refresh IDs of
  sensor nodes.

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HERACLEIA Negotiation Projects

• SCENS Project
• SCENS (Secure Content Exchange Negotiation
  System) is a meta-data based negotiation system
  for agreeing data sharing conditions among
  parties who do not know each other. It can be
  accessed at
• http//heracleia.uta.edu/scens

• Sensor Test Bed
• Using programmable motes as sensors in a wireless
  network.
• To run experiments in assisted living
• To test algorithms on a sensor net

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Research at the Vision-Learning-Mining Lab

• Vassilis Athitsos
• University of Texas at Arlington

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American Sign Language

• 0.5-2 million users in the US.
• Complete and independent language.
• Not a signed version of English.

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Looking Up a Sign

• It is easy to go from an English word to ASL.

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Looking Up a Sign

• It is easy to go from an English word to ASL.
• It is hard to look up the meaning of a sign.

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Looking Up a Sign

• Our goal automated sign lookup.
• Input video of a sign.
• The user performs the sign in front of a camera.
• Output best matches in a database of 3000 signs.

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Research Directions

• Challenging problems in vision, learning,
  database indexing.
• Large-scale motion-based video retrieval.
• Need for developing novel atabase indexing
  methods
• Efficient large-scale multiclass recognition.
• How can a computer learn to recognize 3000 signs?
• Learning complex patterns from few examples.

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Object Detection
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Object Detection
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Parsing Satellite Images

• Research goals
• Accuracy.
• Efficiency.

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IDIR (Innovative Database and Information Systems
Research) group

• Chengkai Li
• http//ranger.uta.edu/cli
• Sept. 5, 2008

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My Lab

• IDIR (Innovative Database and Information
  Systems Research)
• Students
• 2 PhD students
• several master students
• 1 master student recently graduated
• Collaboration
• University of Illinois at Urbana-Champaign
• University of Waterloo
• IBM Almaden Research Center
• Yahoo! Research
• Gautam Das, Sharma Charkravarthy

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• the Database
• and
• the Web

Query
Search
Two Sides to the Story
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Search the Database and Query the Web

• Our Goal
• Search the Database (flexibly) use databases
  like the Web
• Query the Web (expressively) use the Web like a
  database
• We study the following aspects
• Core of Data Management Systems
• storage engine and indexing methods
• query processing algorithms and query
  optimization
• Applications
• new interfaces and queries for retrieving and
  exploring data
• data management in new domains semantic Web,
  social networks, medical information

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Projects

• RankSQL Ranking and Top-k Queries in Databases
• Set Query A New Type of Queries in Data
  Warehousing
• WebEQ Querying, Retrieval and Exploration of
  Structured Information on the Web
• DataMasher Information Aggregation,
  Summarization, and Analysis on the Web
• RDFM RDF Data Management Systems
• RECOMM Large-Scale Recommendation Engine for
  Social Networks

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1. RankSQLExample What Boolean queries provide

• SELECT
• FROM Houses H
• WHERE 200Kltpricelt400K AND bedroom 4

query semantics results organization
Boolean query hard constraints (True or False) a flat table too many (few) answers

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1. RankSQLExample What may be desirable

• lt 500K is more acceptable
• but willing to pay more for big house
• close to the lake is a plus
• avoid locations near airport

query semantics results organization
Boolean query hard constraints (True or False) a flat table too many (few) answers
fuzzy retrieval soft constraints (preference,similarity,relevance,) a ranked list a grouping of results etc.
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1. RankSQLRetrieval of Databases by Ranking and
Other Mechanisms
Ranking
Clustering
Navigation Map
Facets
Categorization

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2. Set QueriesA New Type of Queries in Data
Warehousing

• Example
• SELECT dept
• FROM Students
• GROUP BY dept
• HAVING set(city) CONTAINS Dallas,
  Arlington, Fort Worth

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3. WebEQQuerying, Retrieval and Exploration of
Structured Information on the Web

• The Web is a huge database of structured
  information
• Enable expressive and efficient access to the Web
  of data, by providing querying, retrieval, and
  exploration facilities.
• Start with Wikipedia, then extend to general Web

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Topic 1 Faceted Wikipedia
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Topic 1 Faceted Wikipedia
Texas university

• Population
• Undergraduate
• lt10000
• 10000-20000
• 20000
• Graduate
• People
• Alumni
• Astronaut
• Actress
• Faculty
• Fraternities and Sororities
• Alpha Epsilon Pi

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Topic 2 Shallow Semantic Queries

• Which Silicon Valley based companies were funded
  by Stanford alumni?

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Topic 2 Shallow Semantic Queries

• SELECT P.name, C.name
• FROM People P, Company C
• Where co-occur(P, "graduated", "Stanford")
• AND co-occur(C, "based", "Silicon
  Valley")
• AND co-occur(P, "funded", C)

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4. DataMasherInformation Aggregation,
Summarization, and Analysis on the Web
user (graduate school applicants)
The Mashed-up Web
DataMasher

• mash-up browser
• summarization of research publications
• researchers in same area
• professors taught the same courses
• schools with similar programs
• head-to-head comparisons

The Web
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5. RDFM RDF Data Management Systems

• RDF de facto data model for semantic Web.
• RDBMS is not appropriate for managing RDF data.
• B-store for RDF (bitmap-index based)
• Optimization of RDF queries
• Ranking in RDF queries

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6. RECOMM Large-Scale Recommendation Engine for
Social Networks

• A lot of Websites provide objects
• Youtube (videos), Flickr (photos), blogger
  (blogs)
• Current recommendation systems
• Not tailored for individual interest
• Collaborative filtering algorithms
• Not scalable
• Imagine a better recommendation engine
• personalized
• continuous

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• Looking for students
• http//ranger.uta.edu/cli
• cli_at_uta.edu