Kno'e'sis Center: Overview

1
Kno.e.sis CenterOverview Accomplishments

• January 2008 to December 2008

2
Kno.e.sis Background

• Started LSDIS at University of Georgia (UGA) in
  1994 after a decade in industry
• One of the three largest (perhaps the largest)
  group in Semantic Web in the US
• Major influence in Services Computing
• 70 of funding in CS dept., 60 of GRAs (about
  20)
• Two successful startups
• Second hired 35 employees in Athens first
  Internet Software company with 7m payroll
  before being its third acquisition
• Highly successful students
• 2006 graduate Dr. Kunal Verma has 1000 citations
  (5 papers over 100 each), successfully competed
  with two Stanford PhDs
• 2007 graduate Dr. Kemafor Anyanwu 3 papers in
  WWW, faculty at NCSU, Raleigh

3
About myself

• Educator
• Philosophy for students learning how to learn
  successful students that have started making
  mark, new courses
• Researcher
• Philosophy for research lead through vision and
  build collaborations
• Areas information integration, workflow,
  semantic web applications to healthcare,
  biomedical research, financial services,
  intelligence
• 12000 citations, 250 publications, h-index 50,
  100 citations 22, 30 keynotes, 200 invited
  talks
• 10m high-quality research funds from NIH, NSF,
  DARPA, NIST, ARDA, and others
• EIC (2) International Journal of Semantic Web
  Info. Systems, Distributed and Parallel Databases
  (Springer) Editor of 2 Springer book series
• EB (5) IEEE Internet Computing, Applied
  Ontology, etc. Chaired 40 events member/chair
  of 125 program committees
• W3C standard, community standard
• Entrepreneur 2 companies based on technology
  developed at university, 5 major commercial
  products, many deployed applications advisory
  boards etc.

4
Kno.e.siss Mission

• Best in US in two new multidisciplinary research
  areas associated with the Next Generation of the
  Web and Distributed Computing Semantic Web and
  Services Science
• well recognized in other areas associated with
  Advanced Data Management Analysis with
  applications in Biomedicine, Health Informatics,
  Defense Intelligence, building on strengths in
  traditional computer science areas such as
  databases (including data mining), AI (including
  machine learning and NLP), distributed computing,
  and bioinformatics
• Some of the best and most progressive courses in
  our areas
• Graduates that successfully compete with those
  from the best universities
• Motto Learning how to learn
• Well rounded Publications with significant
  impact, Leadership, Networking, Communication,
  Teamwork
• Significant regional impact through technology
  development and transfer (partnership with
  daytaOhio), development of globally competitive
  workforce for Ohio

5
Kno.e.sis People

• 7 faculty (looking to add 1 more)
• 17 PhD students
• 10 moved from UGA with Sheth, one followed
  recently (WSU gained 30 person year GRA
  experience)
• Few MS students
• Increasing number of BS students

6
News Events

• 2007
• Keynotes 3
• Invited Talks 6
• Tutorials 3
• Conference/Workshop Organization
• 1 Steering Committee member 15 Program
  Committees members 3 Workshop Co-organizer 1
  Special Session organizer, 1 General Chair, 1
  Poster Chair
• Editorships
• Special Issues 1
• Book Series 2
• Journal Editorial Board 13
• Journal EIC 2

• 2008
• Keynotes 1
• Invited Talks 10
• Conference/Workshop Organization
• 3 Steering Committee member 1 Publicity Chair
  (student) 9 Program Committees members (4 are
  students) 2 Workshop co-organizer 1 Symposium
  co-organizer 1 Organizer Committee
• Editorships
• Special Issues 2
• Conference Proceedings 1
• Journal EIC 1

7
Kno.e.sis Center Labs (3rd Floor, Joshi)

• Amit Sheth
• Semantic Science Lab
• Semantic Web Lab
• Service Research Lab
• TK Prasad
• Metadata and Languages Lab
• Shaojun Wang
• Statistical Machine Learning

• Michael Raymer
• Bioinformatics Lab
• Guozhu Dong
• Data Mining Lab
• Keke Chen
• Data Intensive Analysis and Computing Lab

8
Funded Research
9
NSF-Funded Research

• Medium ITR SemDisSemDis Discovering Complex
  Relationships in Semantic Web
• Sheth PI/PM (sub UMBC, UGA) Oct 2005 - Dec 31,
  2008
• 1250K total Sheth led part 925K (317K moved
  to WSU)
• 30 publications, 10 keynotes, funded all or 75
  of PhD duration for 6 and many more for 50
  duration
• SGER Spatio-Temporal-Thematic Queries of Semantic
  Web Data A Study of Expressivity and Efficiency
• 146K
• A National Model for Engineering Mathematics
  Education
• 500K
• RI-Small Exploiting Syntactic, Semantic and
  Lexical Regularities in Statistical Language
  Modeling
• 102K

10
NIH-Funded Research

• National Heart, Lung, and Blood Institute,
  NIHSemantics Services enabled Problem Solving
  Environment for T.cruzi
• 1.5m total, 04/08-03/12
• WSU lead Project PI Prof. Amit Sheth
• Subcontract to UGA (Co-PI Prof. Rick Tarleton)
• Subcontract to NCBO, Stanford (Co-PI Prof. Mark
  Musen)
• NCRR/NIH (WSU subcontr. from UGA
  78K)Integrated Technology Resource for
  Biomedical GlycomicsJuly 2003-June 30, 2008.
• Part led by Sheth 709,401 of total 6m

11
Funded Research (Selected)

• daytaOhio/LexisNexis (90K28K)Metadata for
  Timelining Events, Jan 2006 - Aug 2007,
  Research Prasad PI Dong Co-PI
• AFRL (32K)Sensor Data Mgmt Architecture (part
  of larger SAVig project), Apr -Aug 2007
• Ohio/WSU (240K)Res. Challenge Award Advanced
  Data Mgmt Resource for Biomedical Research,
  Sheth PI N. Reo, M Raymer Co-PIs
• OBR (235K)Ohio University Bioinformatics Choose
  Ohio First Scholarship, Prof. Raymer (WSU PI)
  235K in scholarships for Wright State students
• OBR (235K) Ohio Consortium for Bioinformatics
• OBR (20K) Research Challenge Enhancement and
  Commercialization of Comparative Web Search Tech

12
Funded Research (Selected)

• N/A (126K) Trusted Sensor Web PI Sheth with
  Wang and Prasad
• Henry Jackson Foundation (100K) Human
  Performance Ontology
• Ohio/WSU (20K)Res. Challenge Enhancement and
  Commercialization of Comparative Web Search
  Technologies, Prof Dong (PI)
• AFRL/DAGSI (121K)Architecture for Secure
  Semantic Sensor Network Ohio
  Student-Faculty Research Fellowships to two
  Kno.e.sis teams Cory Henson with
  Prof. Amit Sheth and Josh Pschorr with Prof. T.K.
  Prasad

13
Proposals in Progress

• SAIC Assuring Trust in Semantic Sensor
  Networks Gap Analysis (31K)
• NSF UIMA-based Collarboration Research A
  Computational Environment for Comparative
  Analyses of Prokaryotic Genomes (404K) NSF
• NSF Computing for Billions (1,378K)
• WSU Research Challenge Comparative Analysis and
  Exploration of Collections of Data Clusterings
  (25K)
• NSF CDI-Type II The Open Metabolomics
  Workspace An inquiry-driven environment for
  metabolomics research and training (569K)
• NSF Collaborative Research CDI-Type II
  Computationally-Enabled Modeling, Inference and
  Prediction of Synergistic Effectors of Biological
  Systems (569K)

14
Proposals in Progress

• NSF A Computational Environment for Comparative
  Analyses of Prokaryotic Genomes (404K)
• NSF Comparative Analysis and Exploration of
  Collections of Data Clusterings (400K)
• NSF IIISmall - Integrating Sensor Networks
  using Collective Intelligence (400K)
• NIH TBD (NIDA Secondary Drug Abuse)
• NIH TBD (Knowledge discovery - multidrug
  treatment)
• NIH TBD (Metabolomics)

15
Industry Support

• IBM UIMA Innovation Award (23K Gift) 11/2007
  Sheth
• UIMA-based Infrastructure for Summarizing
  Casual, Unstructured Text
• Microsoft Research Award (60K Gift) 02/2008
  Sheth
• Chatter, Intent, Good Karma, and Contextual
  Advertisements in Social Networks
• HP Research (50K) 03/2008 - Sheth
• for research in unstructured text extraction
  01/2008 (25K, 25K to come)
• Google Research Award (50K) Shaojun Wang
• for his proposal "Syntactic, Semantic and Lexical
  Language Models for Machine Translation"

16
Collaborations
17
Collaborations

• AFRL Distributed Collaborative Sensors System
  Technology Branch of Sensor Directorate and SAIC
  - Semantic Sensor Web and Trusted in Distributed
  Sensor Networks
• AFRL Human Effectiveness Directorate Human
  Performance Ontology and Semantic Search of
  Biomedical Literature
• CCHMC work in semantic metadata extraction and
  knowledge discovery over biomedical literature.
• Center for Healthy Communities (CHC), Boonshoft
  School of Medicine semantic Web applications to
  health care informatics enhancing the HIEx
  system
• Complex Carbohydrate Research Center, University
  of Georgia (glycomics)
• daytaOhio  a trusted partner connecting
  innovators, entrepreneurs, and investors.
• eBiquity Group,University of Maryland, Baltimore
  County (Profs. Finin and Joshi), and LSDIS at
  the UGA (Profs. Arpinar, Kochit and Miller) are
  research partners in our NSF-funded Medium ITR
  SemDis project (PI Prof. Amit Sheth).
• HP Labs Palo Alto  we collaborate in automatic
  ontology creation applications HP funds our
  research in statistical attribute and
  relationship extraction. Our collaboration has
  resulted in HP commercial offering.

18
Collaborations

• IBM Almaden Services Research Group Services
  Science (Dr. Michael Maximilien)
• IBM UIMA Innovation Award to our proposal
  UIMA-based Infrastructure for Summarizing
  Casual, Unstructured Text based on Meena
  Nagarajan's summer internship at IBM Almaden in
  2007 and continuing collaborations.
• Yahoo! Search Relevance Labs Dr. Chen
  collaborates with Yahoo! Labs on developing novel
  web search ranking functions, cross-domain
  ranking, and clickthrough log data mining.
• Lister Hill National Center for Biomedical
  Communications, National Library of Medicine
  (NIH) National Institute on Drug Abuse (NIH)
• Tarleton Research Group at University of Georgia
  (Prof. Rick Tarleton) and the National Center for
  Biomedical Ontology at Stanford University (Prof.
  Mark Musen) partner in our National Heart, Lung,
  and Blood Institute, NIH-funded R01 project
  Semantics and Services enabled Problem Solving
  Environment for Tcruzi (PI Prof. Amit Sheth).
• W3C  WSUniversity is an official member and
  Prof. Sheth is Advisory Committee member of the
  W3C. Kno.e.sis contributions to W3C activities
  include Semantic Web for Health Care Life
  Sciences (HCLS), Semantic Web Service Testbed
  Incubator (SWS Testbed XG), and the RDB2RDF
  Incubator Group. Prof. Sheth co-chairs SWS
  Testbed XG. Karthik Gomadam and AjithRanabahu
  actively participate in SWS Testbed XG Satya
  Sahoo actively participates in RDB2RDF XG, and
  Amit Sheth participates in HCLS.
• GRIDs Lab University of Melbourne. We are
  jointly developing an open source software
  combining their SWE middleware with our SSW.
• Also Accenture lab, National Library of Medicine,
  UC- Berkeley, DERI-Ireland, etc.

19
Our Latest Projects
20
Machine Learning and Natural Language Processing

• Research Area Machine learning and its
  applications to language, speech, image and
  biological signal processing. Research
  projects
• Exploiting syntactic, semantic and lexical
  regularities in language modeling
• Syntactic, semantic and lexical language models
  for machine translation
• Semi-supervised discriminative learning and
  structured prediction

21
Statistical Machine Translation
24 hours!
22
Noisy Channel ModelChinese as Garbled English
The urgent response to
E
Given input C,software chooses Ethat
maximizes p(EnglishE)
xp(ChineseC EnglishE)
StatisticalModel
C
23
What are the models?

• Source model p(E) language model
• Guarantees semi-fluent English
• Channel model p(CE) translation model
• Stochastically translates each word allows a
  little random rearrangement with high prob,
  words stay more or less put
• Maximizing p(CE) would give really lousy Chinese
  translation of English
• Random word translation is stupid need word
  sense from context
• Random word rearrangement is stupid phrases
  rearrange!
• This channel has no idea what fluent Chinese
  looks like
• But maximizing p(E)p(CE) gives a better English
  translation of Chinese because p(E) knows what
  English should look like.
• Currently trying to make these models less stupid.

24
Mining Data from Social Content

• Wealth of information available from blogs,
  social networks, chats etc.
• Free medium of self-expression makes mass
  opinions / interests available
• Polling for popular culture opinions is easier
• Social Production undeniably affects markets
• Results of analysis more effectively tailored to
  specific audience geo-specific retail ads,
  demographic interests in music

• Challenges
• Mining content generated in social software is a
  different problem compared to the well-behaved
  text we are used to seeing
• Atypical sentence constructions
• Demographic slangs, webisms to express opinions
• You are so baadd is no longer a bad opinion
• Try this! Jus heard da album n I was lyk woooman

25
Things we work on

• Mining popular music artists from chatter on
  MySpace
• Sentiment extraction, Entity Identification
• Ambiguous entities smile, it, music,
  yesterday
• Entity Identification using domain knowledge and
  statistical NLP
• Sentiment expressions
• identifying expressions, computing polarities
• they killed the song is a compliment!
• Implemented on SoundIndex (BBC IBM)

26
Things we work on

• Understanding how people write guides what
  analytics we perform on the data
• Multivariate factor analysis to observe gender
  differences in language usage by men and women in
  their Online Profiles
• Joint work with UCB

27
Things we work on

• Eliminating Off-topic noise and Targeted Content
  delivery on social media
• Example, enabling extremely targeted ads on
  social networks

28
Our Collaborations
1. IBM Semantic SuperComputing Group
Almaden Supporting our free text analysis through
the UIMA Innovation grant 2. Microsoft
AdLabs Supporting our research on targeted advs
in social networks through the Search and
Beyond award 3. Prof. Dr. Marti Hearst, School
of Information, UC Berkeley Joint investigations
on social network profiles
29
Three Dimensions of Information
Thematic Dimension What
Temporal Dimension When
North Korea detonates nuclear device on October
9, 2006 near Kilchu, North Korea
Spatial Dimension Where
30
Using named relationships to connect thematic
entities with spatial locations in a variety of
meaningful ways (different contexts)
E2Soldier
E4Address
lives_at
located_at
located_at
E6Address
lives_at
Georeferenced Coordinate Space (Spatial Regions)
E1Soldier
E1Soldier
occurred_at
E7Battle
assigned_to
participates_in
E8Military_Unit
E8Military_Unit
participates_in
assigned_to
E5Battle
occurred_at
Residency
E3Soldier
Battle Participation
Dynamic Entities
Spatial Occurrents
Named Places
31
Spatio Temporal Thematic Query Processing
Find dams in state of Ohio
Information of Ohio
Dams in Ohio
Dams in counties of Ohio
Query Processing Engine
KB
No information
Alum Creek,Wills Creek,Hoover Dam,
componentscounties,cities,.
Resolve state into components
Ohio counties-dams
Partonomy Resolution Engine
32
Semantic Sensor Web
High-level Sensor
Low-level Sensor

• How do we determine if the three images depict
  
• the same time and same place?
• same entity?
• a serious threat?

33
Semantic Sensor Observation Service Architecture
SemSOS Semantic Sensor Observation Service
Interface/Access
SOS Query
52North
SPARQL Query Engine
SML-S/ OM-S
Knowledge Base
Ontologies
Data Collection
Analysis and Reasoning
SML-S/ OM-S
RDF
34
Query What is the weather in region R at time T?
Abduction-based explanation of observations

• Answer
• winter weather
• possible snow storm
• possible blizzard
• Trust Report
• Conflict between sensor 2 4
• If sensor 2 trusted
• snow storm, possible blizzard
• If sensor 4 trusted
• winter weather

precipitation (2)
temp (1)
windspeed (3)
visibility (4)
35
Description of Semantic Sensor Web
All subscribe to a shared formally defined world
view
Prototype Demo
http//www.opengeospatial.org/projects/groups/sens
orweb
36
Next Generation Mobile Services
?
Tell what you think! Find what you want! Mix em
up..Smashem up Run em anywhere
User/ Developer
AIR
Current State of Web API Search
37
I need a mapping service, a product review
service and a local serach service for
Apihut Beakon Air Speed Dial your Mobile
Apps
38
Timelining News Events

• Index, search, and visualize News documents
  datasets (150GB) using variety of metadata-based
  Timelines

39
Mining Data from Social Content

• THINGS WE WORK ON
• Mining popularity from chatter on MySpace
• Most talked about artist / product of the week by
  19 yr olds in New York?
• Sentiment Analysis ( slang ) in casual text
• Spotting subjective expressions in light of
  language productivity
• Separating junk from informative content the
  problem of digressing
• Enabling extremely targeted ads on social networks

• Wealth of information available from blogs,
  social networks, chats etc.
• Free medium of self-expression makes mass
  opinions / interests available
• Polling for popular culture opinions is easier
• Social Production undeniably affects markets
• Results of analysis more effectively tailored to
  specific audience geo-specific retail ads,
  demographic interests in music

• CHALLENGES
• Mining content generated in social software is a
  different problem compared to the well-behaved
  text we are used to seeing
• Atypical sentence constructions
• Demographic slangs, webisms to express opinions
• You are so baadd is no longer a bad opinion
• Try this! Jus heard da album n I was lyk
  woooman

Our Collaborations 1. IBM Semantic
SuperComputing Group Almaden Supporting our
free text analysis through the UIMA Innovation
grant 2. Microsoft AdLabs Supporting our
research on targeted advs in social networks
through the Search and Beyond award 3. Prof.
Dr. Marti Hearst, School of Information, UC
Berkeley Joint investigations on social network
profiles
40
Semantic Analytics
UNDISCOVERED PUBLIC KNOWLEDGE
Discovering connections hidden in text
41
Application in Biology
42

Understanding the Genetic-Basis of Nicotine
Dependence Collaborators Gene-Pathway Data
Integration- Complex Carbohydrate Research
Center, University of Georgia

• Objectives
• Understand the role of genes in nicotine
  addiction
• Treatment of drug addiction based on genetic
  factors
• Identify important genes and use for
  pharmaceutical productions
• Data Sources
• Two NCBI gene databases Three biological
  pathway databases

Reference S.S. Sahoo, O. Bodenreider, J.L.
Rutter, K.J. Skinner, A.P. Sheth, An
ontology-driven semantic mash-up of gene and
biological pathway information Application to
the domain of nicotine dependence, J. Biomedical
Informatics (in press)
43
Semantic Provenance Annotation for Data in
protEomics (SPADE)
Collaborators Complex Carbohydrate Research
Center, University of Georgia

• Objectives
• Help biologists with automated workflow to
  conduct experiments
• Automated provenance creation for experimental
  data

• Resources
• Web based scientific workflow deployed and in
  use
• Two large ontologies listed at Open Biomedical
  Ontologies at Stanford University
• Stanford University and University of Georgia
  partners in recently funded NIH RO1 grant

Reference S.S. Sahoo, C. Thomas, A. Sheth, W.S.
York and S. Tartir Knowledge Modeling and Its
Application in Life Sciences A Tale of Two
Ontologies, 15th Intl WWW2006 Conf., May 2006
44
Extracting from Social Knowledge

• in Sydney, New South Wales, Australia
• Sydney is the most populous city in Australia
• Canberra, the Australian capital city
• Canberra is the capital city of the Commonwealth
  of Australia
• Canberra, the Australian capital

• in Sydney, New South Wales, Australia
• Sydney is the most populous city in Australia
• Canberra, the Australian capital city
• Canberra is the capital city of the Commonwealth
  of Australia
• Canberra, the Australian capital

We know that countries have capitals. Which one
is Australias?
45
Privacy-Preserving Data Publishing and Mining
Multiparty Collaborative Computing
Single-Party Data Publishing
Data perturbation Cryptographic protocols
Perturbed data
Data Service
G(X) RXTD
Return classifiers
Data Miner Training classifiers
?
G1
Optimal G

G2
Perturbed dataset
Original dataset
Perturbation optimization
G3

• Classifiers that can use
• geometric perturbation
• Kernel methods
• linear classifiers
• SVM classifiers

Attacks Attack Analysis
1. Criteria for good perturbation 2. Analysis of
attacks 3. Randomized algorithm
46
Multidimensional Cluster Visualization
47
Data Mining Research Lab

• Directed by Professor Guozhu Dong
• Currently has 2 PhD students graduated 3 PhD
  students since 2007
• Representative areas of interest
• Contrast data mining
• Data mining on sequence data and microarray gene
  expression data
• Data warehousing and OLAP
• Document collection analysis and management
• Clustering collection analysis and management
• Comparative and summarative web search
• Research has been funded by NSF, AFRL, Ohio
  Agencies, Lexis-Nexis and other private companies

48
Doozer
Building Domain Hierarchies and Connecting
Concepts with Named Relationships
49
Collecting Instances
50
Creating a Hierarchy
51
Creating a Hierarchy
52
Hierarchy Creation - summary
53
MEtaData and Languages Laboratory

• Semantic Web and Information Retrieval
• Develop models, query languages and techniques,
  to represent , retrieve, and reason with Web
  Documents and Semantic Web Data
• Trusted Semantic Sensor Web and Services
• Apply semantic web technology and abductive
  reasoning techniques for abstracting,
  understanding, diagonising, standardizing, and
  enhancing trust in sensor data
• Navigation and Visualization of Large Datasets
• Develop novel techniques and tools for indexing,
  searching, and browsing metadata enriched, large
  (News) datasets
• Programming Languages Design and
  Implementation
• Develop novel constructs and algorithms for
  enhancing reliability and efficiency of
  programming languages

54
MEtaData and Languages Laboratory

• Recent Graduates
• Ph.D. Graduate Trivikram Immaneni
• Employed at Technorati.com
• Dissertation Title A Hybrid Approach to
  Retrieving Web Documents and Semantic Web Data
• M.S. Graduate Mastan Shaik
• Employed as Consultant
• Thesis Title "Design and Implementation of
  Timeline Application for News Documents".

55
Teaching and Education
56
Courses

• Dr. Sheth
• Semantic Web
• Service Science
• Web Information Systems
• Dr. Raymer
• Bioinformatics
• Comparative Languages
• Dr. Dong
• Data Mining
• Formal Languages

• Dr. S Wang
• Natural Language Processing
• Machine learning
• Artificial Intelligence
• Dr. Prasad
• Information Retrieval
• Compiler Design Construction
• Comparative Languages
• Programming Languages
• Dr. Chen
• Privacy-Aware Computing
• Cloud Computing
• Data structures and Algorithms

57
Kno.e.sis Students
58
Two Example of Successful PhD students

• Kunal Verma PhD 2006
• 1000 citations
• beat 2 Stanford PhDs for
• the position he took

• Kemafor Anyanwu PhD 2007
• 3 papers in WWW
• 3 offers from 4 interviews at Research
  Universities
• Faculty at North Carolina State University,
  Raleigh

59
Student Achievement Overview
60
Meena Nagarajan

• Internships and Collaborations
• HP Labs Systems and Storage Team
• IBM Almaden Research Semantic SuperComputing
  group School of Information, UC Berkeley
• Professional Achievements (including funding)
• WSDL-S W3C submission (co-author)
• IBM UIMA Innovation Award 2007 Primary
  contributor to UIMA-Based Infrastructure for
  Summarizing Casual, Unstructured Text
• Microsoft's Beyond Search - Semantic Computing
  and Internet Economics Award 2008 Primary
  contributor to Chatter, Intent and Good Karma
  for Targeted Advertising in Social Networks
• Project Page
• Analysis of Social Media Content
• Accurate Entity Identification
• Sentiment Analysis
• Content Monetization

• Program Committee Member
• CIKM 2007, IEEE ICSC 2008, Ontology Matching
  Workshop (ISWC 2007)

http//knoesis.wright.edu/research/semweb/projects
/socialmedia/
61
Karthik Gomadam

• Collaborations
• Almaden, Accenture and UGA on device-independent
  computing applications using SaRest-based search
  (Beakon, Air, and apihut)
• Summer Internships
• 2007 IBM India Research Labs
• 2006IBM TJ Watson Research Center, Advanced
  Delivery Platforms Group
• 2004 IBM TJ Watson Research Center, Component
  Systems Group
• Recent Publications
• ICWS, ICSC, Web Intelligence, IEEE Internet
  Computing
• Program Committee Membership
• Semantics4WS (06,07,08) WSCA 2008 IEEE 23rd
  Advanced Information Networking Applications
  (2009) SOCASE 2007, 2008, SOLI 2008

• Patents
• Pending distributed error management
• IBM Innovation Achievement Award for pending
  patent on error management

62
Prateek Jain

• Research Interest
• Spatial Temporal Thematic Analysis of Data
• Collaborators
• Accenture Technology Labs
• Summer Internships
• 2008-Accenture Technology Labs, San Jose,
  CA-Requirements Analysis Tool (RAT)
• Publications
• W3C Video on the web workshop(2007)
• Geospatial Semantics (2007)
• Ontology-supported Business Intelligence (2008)
• India Software Engineering Conference (2009)

63
Matthew Perry
Publications 11 highlights Conference paper M.
Perry, A. Sheth, F. Hakimpour, P. Jain,
"Supporting Complex Thematic, Spatial and
Temporal Queries over Semantic Web Data," 2d
Intl Conf.ce on Geospatial Semantics (GEOS '07)

• Book chapters
• M. Perry, A. Sheth, I.B. Arpinar. "Geospatial
  and Temporal Semantic Analytics, Encylopedia of
  Geoinformatics, 2008, forthcoming.
• F. Hakimpour, B.Aleman-Meza, M.Perry, A. Sheth.
  "Spatiotemporal-Thematic Data Processing in
  Semantic Web," The Geospatial Web,
  Springer-Verlag, 2007
• Program Committee Memberships
• ODBASE 2008 ESWC 2008 Workshop on Semantic
  Metadata Management GEOS 2007 ISWC 2006
  Workshop TerraCognita Directions to Geospatial
  Semantic Web
• Internships
• 2006 Oracle Semantic Technologies Group

• Collaborations
• Preparing collaborative paper for VLDB 2008
  Funding
• Significant contribution to NSF Small Proposal
  "Spatial, Temporal and Thematic Analysis of
  Semantic Web Data"

64
Cory Henson

• Recent Research Collaborations
• AFRL and SAIC Trusted Semantic Sensor Web
• DaytaOhio Sensor Aided Vigilance, Survey on
  Sensor Data Management
• Internships/Fellowships
• 2009 University of Melbourne, and CSIRO
• Australian Commonwealth Scientific and
  Industrial Research Organization)
• 2008/2009 AFRL/DAGSI
• Architectures for Secure Semantic Sensor
  Networks for Multi-Layered Sensing
• Presentations
• Semantic Technology Conference, 2008 Semantic
  Sensor Web
• Sensor Standards Harmonization WG Meeting, NIST,
  2008 Semantic Sensor Web
• Program Committee Memberships
• International Symposium on Collaborative
  Technologies and Systems (CTS2009)
• Workshop on Sensor Web Enablement 2009 (SWE2009)
• Recent Publications on Semantic Sensor Web
• SemSOS Semantic Sensor Observation Service,
  International Symposium on Collaborative
  Technologies and Systems (CTS2009), Workshop on
  Sensor Web Enablement (SWE2009), 2009.
  (Submitted)
• Situation Awareness via Abductive Reasoning from
  Semantic Sensor Data A Preliminary Report,
  International Symposium on Collaborative
  Technologies and Systems (CTS2009), Workshop on
  Collaborative Trusted Sensing, 2009. (Submitted).
• Semantic Sensor Web, IEEE Internet Computing,
  2008.
• Video on the Semantic Sensor Web, W3C Video on
  the Web Workshop, 2007.

65
Pablo Mendes

• Collaborations/Funding
• NIH R01 T.cruzi Problem Solving Environment, with
  UGA and Stanford
• Expert-stipulated knowledge extraction, with
  CCHMC at Cincinnati
• Microbial Genome Analysis System, with IOB at UGA
• Semi-supervised CRFs with Shaojun Wang
  (applications in protein folding and text mining)
• Recent Publication
• Dávila, AMR Mendes, PN et al., ProtozoaDB
  dynamic visualization and exploration of
  protozoan genomes, Nucl. Acids Res., 2007
• Awards
• Training Innovations in Parasitological Studies
  (TIPS) Fellowship awarded by the Ellison Medical
  Foundation and Center for Tropical and Emerging
  Global Diseases, UGA

• Research projects 2007
• Semantic Web application to bioinformatics and
  online communities
• Automation of data analysis workflows
• Creation of genome databases (Java, Oracle)

66
Cartic Ramakrishnan

• Summer Internships
• 2006 IBM Almaden relationship extraction to
  create ontology for cardiology
• 2002, 2004 NLM semi-automated development of
  large-scale ontologies
• Patents
• Automatically Generated Ontology by combining
  structured and semi-structured knowledge
  sources, by Tanveer Syeda-Mahmood, Cartic
  Ramakrishnan, US patent filed, Docket No.
  ARC920070046US1
• Journal Articles
• Blazing Semantic Trails between Web Resources,''
  with A. Sheth, IEEE Internet Computing (2007)
• Book Chapters
• Semantics for the Semantic Web The Implicit,
  the Formal, and the Powerful, with A. Sheth C.
  Thomas, chap. 28 in Online and Distance
  Learning, IGI, 2008
• Geospatial Ontology Development and Semantic
  Analytics, with B. Arpinar, A. Sheth, L. Usery,
  M. Azami M. Kwan, in Handbook of Geographic
  Information Science.

• Program Committee Member
• ICSC 2008 2d IEEE Intl Conf. on Semantic
  Computing CIKM 2007 ACM 16th Conf. on
  Information and Knowledge Management CIA 2007
  11th Intl Workshop on Cooperative Information
  Agents
• External Reviewer
• KDD 2007 13th ACM SIGKDD Intl Conf. on Knowledge
  Discovery and Data Mining

67
Ajith Ranabahu

• Research Interests
• Lightweight services, situational Web
  applications, services for mobile computing,
  cloud computing
• Recent Publications
• ICWS (2008),  A Faceted Classification Based
  Approach to Search and Rank Web APIs
• ICSC (2008),Estimating User Effort to Mediate
  Between Two XML Schemas
• IEEE Internet Computing (2008), An Online
  Platform for Web APIs and Service Mashups
• Internship
• 2007 IBM Almaden Research Group
• Collaborators
• Dr Michael Maximilien (IBM Almaden)domain-specifi
  c languages for situational Web?, cloud
  unification
• Patent filed with IBM

• Professional Activities
• Member of the Apache Software Foundation
• Successful publication of two IBM Alphaworks
  projects (http//services.alphaworks.com)
• Senior Software Engineer at WSO2 (before joining
  PhD)?

68
Satya Sahoo

• Research Projects
• 2008-09NIH Semantics and Services enabled
  Problem Solving Environment for Trypanosoma cruzi
• 2008-09 Provenance Management Framework (in
  collaboration with Microsoft Research)
• 2007NCRR/NIH Biomedical Glycomics
• Summer Internships
• 2008 Microsoft Research, Technical Computing
  Group (eScience), Redmond
• 2006, 2007 Lister Hill National Center, NLM/NIH
• Program Committee Memberships
• WDPP 2009, SEMAPRO 2009, SAINT 2008, 7th Intl
  Conf. ODBASE 2008 4th Intl Workshop SWSP 07
  Doctoral Consortium, 9th ICEIS07 Symposium on
  Applications Internet (SAINT2007)

• Contributions to Standards
• Glycan Data Exchange (GLYDE) standard XML-based
  standard for representation of complex glycan
  structures. Accepted by research institutions
  such as Kyoto Encyclopedia for Genes and Genomes
  (Japan), German Cancer Research (Heidelberg),
  Consortium for Functional Glycomics (MIT)
• Representing WSU in W3C incubator group for
  Relational Database to Resource Description
  Framework (RDB2RDF)

69
Christopher Thomas

• Projects
• Ontology-building in glycobiology information
  extraction from community-generated knowledge
  analysis of community generated knowledge
  extracting relationships from community generated
  content
• Recent Publications
• C. Thomas and A. Sheth, Semantic Convergence of
  Wikipedia Articles, WI 2007
• Summer Internship and Ongoing Collaboration
• 2007 Hewlett-Packard
• Program Committee Member
• COMBEK 2008, Workshop on Community-Based
  Evolution of Knowledge-intensive Systems
• WISM 2008, 5th Intl Workshop on Web Information
  Systems Modeling

• Grants Funding
• HP Labs Funding
• "Growing Dense Fields of Interest" 50,000

70
Facilities, Support, and Challenges
71
Facilities and Support

• 3rd floor of Joshi Center
• Newly furnished, good space with room for two new
  faculty members and their lab
• Rack of servers adequate for present but will
  need to grow/improve infrastructure before we can
  add more servers Dean has already supported -
  thanks
• Access to daytaOhio
• Support for Ms. Davis thanks

72
Good News
73
Good News

• 2/5/2008
• From Kevin Haas (Mentor of Meena Nagarajan at IBM
  Almaden Research, now at Yahoo!)
• BTW, Meena is an absolute find.  If all of your
  other students are as talented, you are very
  lucky.  I definitely will do what I can to see
  Meena with a postdoc from either IBM or Yahoo (or
  anything else I can help her with).  Id
  definitely like to work with more interns of her
  caliber, so Ill happily endorse them for Yahoo
  internships.  If you havent reached out to Dan
  Gruhl yet, he should be able to get them into the
  IBM pipeline as well.
  

74
Discussion

• Feedback?
• Any thoughts on bringing even more value?
• Your continuing involvement is vital to
  realizing and leveraging the full potential of
  Kno.e.sis!