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Introduction to Tetherless World Constellation @ RPI
by Jie [email protected]
Slides will be available from: http://tw.rpi.edu/wiki/Presentation
May 4, 2009, Oracle, Nashua, NH 1
• 1998-2003: machine learning, data mining• 2003-now: semantic web– Ph.D. Iowa State University, 2007.
• Dissertation on distributed reasoning with description logics / modeling modular ontologies
• Some work on semantic data integration– Joined TW@RPI in Feb 2008
• Mainly worked on OWL 2 and semantic wikis since then• Some work on scalable reasoning
http://www.cs.rpi.edu/~baojie
Some personal history
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Rensselaer Polytechnic Institute (RPI)
• Established in 1824, • The oldest technological university in the English-speaking world
Troy, NY
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Jim Hendler Deborah McGuinness
Peter Fox
http://tw.rpi.edu/launch/5
Tetherless World Constellation• 3 professors• 6 researchers• 11 full-time graduate students • 4 affiliated graduate students• 2 undergraduate students • 5 alumni
Peop
le
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TW and Oracle
• Collaboration within the OWL 2 Working Group, e.g., OWL 2 RL
• Zhe and Vladimir visited TW on June 2008• Medha Atre, 2008 summer intern• Ankesh Khandelwal , 2009 summer intern
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Research Themes“Everything about Web Science”
as of 20099
Web 3.0
From James Hendler, Ora Lassila. Semantic Web @ 5, March 2006
“Hendler Hypothesis”
vs
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Web 3.0
From James Hendler, Ora Lassila. Semantic Web @ 5, March 2006
Lighter, Faster, Easier! (http://www.cs.rpi.edu/~hendler/presentations/WWW2009-DevDay.pdf )
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Web 3.0 @ RPIAs of 2009• Semantic Wikis
(Biased in this talk)• TW Wine Agent
In progress• Semantic Search
Event: AAAI 2009 Spring Symposium on Social Semantic Web http://tw.rpi.edu/sss09
Web 3.0 <= web 2.0 + a little bit semantics + linked data
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Semantic Wikis
http://tw.rpi.edu/wiki/Semantic_Portal_WikiPeople: Li Ding, Jie Bao, Jin Guang Zheng, Rui Huang, Zhenning Shangguan, Yongmei Shi
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Why should I Care? Data Propagation
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Why should I Care? Smart Data Propagation
• Why smart?– Retrieve instances from
subcategories. E.g. every “Sponsed Project” is a “Project”
– Retrieve instances linked by equality relation. e.g. “James A. Hendler” is the same as “Jim Hendler”
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Semantic Wikis
Semantic Wiki
Applications
Best Practices: Extensions and Templates
Theory: Formal Semantics and Models
Education: Applications and Tutorials
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Sem Wiki App: RPI Maphttp://map.rpi.edu
Contributors: Jin Guang Zheng, Rui Huang, Jie Bao and Li DingRPI shuttle data is from shuttles.rpi.edu and RPI event data is from events.rpi.edu
Mash up data using Semantic MediaWiki
Data rendering using semantic query and
Google Map API
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Sem Wiki App: Ontology Editor
Technical Highlights Template-based meta model for OWL representation on semantic wiki Semantic form based editing Several controlled natural language interfaces (Rabbit, ACE, Yayan) Limited rule inference (on going work)
http://tw.rpi.edu/proj/cnl
Contributors: Jie Bao & Zhenning Shangguan
Sem Wiki Theory: Modeling
• Semantics of SMW– Modeling Language: a variation of RDF semantics– Query Language: by translating to logic programs
• Concept Modeling– Rule modeling (e.g., RDFS entailment & LP)– SMW-based web application model.
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TW Wine Agent
http://tw.rpi.edu/wiki/TW_Wine_AgentContributors: Evan W Patton James R. Michaelis, Li Ding
Semantic wiki based recommendation base
With “wine” and “food” ontologies
Recommendations for wine
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Semantic Search(ongoing work)
• Li Ding– swoogle was his work back at UMBC
• Search – Semantic wiki search– Ranking RDF graph (Alvaro Graves)– Web search (Zhenning Shangguan)
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Research Themes
Semantics in domain knowledge
Event: AAAI 2008 Spring Symposium on Semantic Scientific Knowledge Integration http://www.ksl.stanford.edu/people/dlm/sss08/
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TW People: Deborah L. McGuinness, Cynthia Chang , Li Ding , James Michaelis, Jiao Tao , Alyssa Glass , Honglei Zeng
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WWW Toolkit
Proof Markup Language (PML)CWM
JTP
SPARK
UIMA
IW Explainer/Abstractor
IWBase
IWBrowser
IWSearch
Trust
Justification
Provenance
N3
KIF
SPARK-L
Text Analytics
IWTrust
provenanceregistration
search enginebased publishing
Expert friendlyVisualization
End-user friendly visualization
Trust computationOWL-S/BPELSDS
Trace of web service discovery
Trace of rule application
Trace of task execution
Trace of information extraction
Trace of theorem prover
Inference Web Explanation Infrastructure
• Semantic Web based infrastructure• PML is an explanation interlingua (who, where, when…)• Inference Web provides a toolkit for data management and visualization
http://inference-web.org
VSTO (astronomy)
VSTO = Virtual Solar-Terrestrial Observatory
Image courtesy of Peter Fox
Goal
http://tw.rpi.edu/wiki/SPCDIS_(Project)
TW People: Deborah L. McGuinness, Peter Fox, Patrick West, Stephan Zednik 24
Other Applications
• Sensor Network• Marine Biology• Atmospheric science• Law (TAMI = Transparent Accountable Datamining Initiative, Ankesh
Khandelwal)
Service• OWL instance evaluation (Jiao Tao)
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Research Themes
The pursuit of constant-time computation
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Web-scale Computing
Well, still far from there yet. But there are some promising starting points:
• Medha Atre: – BitMat: A Main Memory RDF Triple Store (started
from an Oracle internship)
• Gregory Todd Williams – “Supporting Identity Reasoning in SPARQL Using
Bloom Filters”
Needs: Scalable algorithm + scalable infrastructure
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Web-scale Computing
• Jie Bao – Distributed reasoner for modular ALC ontologies– Speed up EL reasoning using modularization.
• Jesse Weaver– (ongoing work) Currently investigates parallel
inference (might using a cluster ) over very large RDF datasets.
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Summaryhttp://tw.rpi.edu “Everything about Web Science”
as of 2009
actually a lot!29
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Questions?