Making Software Agents Smarter Tim Finin University of Maryland, Baltimore County ICAART 2010, 22 January 2010

Slides:



Advertisements
Similar presentations
1 Technology in the Common Core State Standards Perri Applegate, Ph.D. Tulsa Public Schools
Advertisements

Opportunistic Reasoning for the Semantic Web: Adapting Reasoning to the Environment Carlos Pedrinaci Tim Smithers and Amaia Bernaras.
Perri Applegate, Ph.D. Tulsa Public Schools
Ontologies: Dynamic Networks of Formally Represented Meaning Dieter Fensel: Ontologies: Dynamic Networks of Formally Represented Meaning, 2001 SW Portal.
Linz, January 2006 European Schoolnet Wikies, what they are and how to use them in the classroom Núria de Salvador European Schoolnet.
Using the Semantic Web to Construct an Ontology- Based Repository for Software Patterns Scott Henninger Computer Science and Engineering University of.
The Web of data with meaning... By Michael Griffiths.
NetworkedPlanet Networked Information – Networked Knowledge Topic Maps & Web 3.0 © 2007 Networked Planet Limited. Web 3.0 Technology Platform to enable.
UMBC AN HONORS UNIVERSITY IN MARYLAND Future Research Challenges and Needed Resources for The Web, Semantics and Data Mining Tim Finin UMBC, Baltimore.
Ontologies and the Semantic Web by Ian Horrocks presented by Thomas Packer 1.
Dynamic Ontologies on the Web Jeff Heflin, James Hendler.
RDF: Building Block for the Semantic Web Jim Ellenberger UCCS CS5260 Spring 2011.
Knowledge-Based NLP and the Semantic Web Sergei Nirenburg Institute for Language and Information Technologies University of Maryland Baltimore County Workshop.
Department of Computer Science, University of Maryland, College Park 1 Sharath Srinivas - CMSC 818Z, Spring 2007 Semantic Web and Knowledge Representation.
Samad Paydar Web Technology Laboratory Computer Engineering Department Ferdowsi University of Mashhad 1389/11/20 An Introduction to the Semantic Web.
MUSCLE WP9 E-Team Integration of structural and semantic models for multimedia metadata management Aims: (Semi-)automatic MM metadata specification process.
Smart Learning Services Based on Smart Cloud Computing
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
Knowledge Mediation in the WWW based on Labelled DAGs with Attached Constraints Jutta Eusterbrock WebTechnology GmbH.
Semantics for Big Data (,) Security and Privacy Tim Finin and Anupam Joshi University of Maryland, Baltimore County Baltimore MD NSF Workshop on Big Data.
Some Thoughts to Consider 6 What is the difference between Artificial Intelligence and Computer Science? What is the difference between Artificial Intelligence.
Semantic Web outlook and trends May The Past 24 Odd Years 1984 Lenat’s Cyc vision 1989 TBL’s Web vision 1991 DARPA Knowledge Sharing Effort 1996.
Semantic Web author: Michał Dettlaff. Tim Berners-Lee director of W3C created the World Wide Web in 1990 proposed the idea of Semantic Web Tim Berners-Lee.
CSC 9010 Spring, Paula Matuszek, Lillian Cassel 1 CS 9010: Semantic Web Possible Topics for Discussion Paula Matuszek Spring, 2006.
Entity Recognition via Querying DBpedia ElShaimaa Ali.
Tables to Linked Data Zareen Syed, Tim Finin, Varish Mulwad and Anupam Joshi University of Maryland, Baltimore County
Web 2.0 Tools Used in the Finance/Investment Management Industry.
Tim Finin University of Maryland, Baltimore County 29 January 2013 Joint work with Anupam Joshi, Laura Zavala and our students SRI Social Media Workshop.
Populating A Knowledge Base From Text Clay Fink, Tim Finin, Christine Piatko and Jim Mayfield.
UMBC an Honors University in Maryland 1 Adding Semantics to Social Websites for Citizen Science Pranam Kolari University of Maryland, Baltimore County.
© Paul Buitelaar – November 2007, Busan, South-Korea Evaluating Ontology Search Towards Benchmarking in Ontology Search Paul Buitelaar, Thomas.
Introduction to the Semantic Web. Questions What is the Semantic Web? Why do we want it? How will we do it? Who will do it? When will it be done?
Semantics for Cybersecurity and Privacy Tim Finin, UMBC Joint work with Anupam Joshi, Karuna Joshi, Zareen Syed andmany UMBC graduate students
Future Learning Landscapes Yvan Peter – Université Lille 1 Serge Garlatti – Telecom Bretagne.
LOD for the Rest of Us Tim Finin, Anupam Joshi, Varish Mulwad and Lushan Han University of Maryland, Baltimore County 15 March 2012
You sexy beast. Ok, inappropriate. How about: Web of links to Web of Meaning Hello Semantic Web!
Understanding User’s Query Intent with Wikipedia G 여 승 후.
Introduction to Semantic Web Service Architecture ► The vision of the Semantic Web ► Ontologies as the basic building block ► Semantic Web Service Architecture.
©2003 Paula Matuszek CSC 9010: Text Mining Applications Dr. Paula Matuszek (610)
PHS / Department of General Practice Royal College of Surgeons in Ireland Coláiste Ríoga na Máinleá in Éirinn Knowledge representation in TRANSFoRm AMIA.
OWL Representing Information Using the Web Ontology Language.
UMBC an Honors University in Maryland 1 Information Integration and the Semantic Web Finding knowledge, data and answers Tim Finin 1, Anupam Joshi 1, Li.
Trustworthy Semantic Webs Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #4 Vision for Semantic Web.
Using linked data to interpret tables Varish Mulwad September 14,
Of 33 lecture 1: introduction. of 33 the semantic web vision today’s web (1) web content – for human consumption (no structural information) people search.
ICT-enabled Agricultural Science for Development Scenarios, Opportunities, Issues by ICTs transforming agricultural science, research & technology generation.
Creating and Exploiting a Web of Semantic Data Tim Finin, UMBC Earth and Space Science Informatics Workshop 05 August 2009
CSC 9010 Spring, Paula Matuszek, Lillian Cassel 1 CS 9010: Semantic Web Protégé Lab Paula Matuszek Spring, 2006.
Digital Storytelling Trends/Issues in Technology.
CityStateMayorPopulation BaltimoreMDS.C.Rawlings-Blake637,418 SeattleWAM.McGinn617,334 BostonMAT.Menino645,169 RaleighNCC.Meeker405,791 We are laying a.
Department of Computer Science Intelligent Information Systems Lab University of Niš 2 nd Workshop on Scripting for the Semantic Web, ESWC2006 The Semantics.
KAnOE: Research Centre for Knowledge Analytics and Ontological Engineering Managing Semantic Data NACLIN-2014, 10 Dec 2014 Dr. Kavi Mahesh Dean of Research,
Creating and Exploiting a Web of (Semantic) Data, Tim Finin Zareen Syed and Anupam Joshi University of Maryland, Baltimore County James Mayfield, Paul.
Semantic Web COMS 6135 Class Presentation Jian Pan Department of Computer Science Columbia University Web Enhanced Information Management.
A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.
Linked Data for the Rest of Us Tim Finin, Varish Mulwad and Lushan Han University of Maryland, Baltimore County 12 January 2012
© 1990—2006 Visual Knowledge Software® | Private and Confidential | 2 Semantic Agent Wikis For Engineering.
GoRelations: an Intuitive Query System for DBPedia Lushan Han and Tim Finin 15 November 2011
©2003 Paula Matuszek CSC 9010: AeroText, Ontologies, AeroDAML Dr. Paula Matuszek (610)
International Workshop 28 Jan – 2 Feb 2011 Phoenix, AZ, USA Modeling Standards Activity Team Model-based Systems Engineering (MBSE) Initiative Roger Burkhart.
 GEETHA P.  Originally coined by Tim O’Reilly Publishing Media  Second generation of services available on www.  Lets people collaborate and share.
Introduction to the Semantic Web. Questions What is the Semantic Web? Why do we want it? How will we do it? Who will do it? When will it be done?
Introduction to the Semantic Web. Questions What is the Semantic Web? Why do we want it? How will we do it? Who will do it? When will it be done?
Semantic Web Project Status
Multi-agent system for web services
Semantic Web: Commercial Opportunities and Prospects
Wikitology Wikipedia as an Ontology
Extracting Semantic Concept Relations
DBpedia 2014 Liang Zheng 9.22.
Visual recall of class information
Presentation transcript:

Making Software Agents Smarter Tim Finin University of Maryland, Baltimore County ICAART 2010, 22 January

Motivation The web has made people smarter and more capable

Motivation It provides easy access to most of the world's knowledge and services

Motivation Web standards, protocols & technology work better than earlier distributed infor- mation system technologies

But what about our agents? tell register Agents still have a very minimal under- standing of text, images and video

MotivationSwoogle Swoogle Swoogle Swoogle Swoogle Swoogle Swoogle Swoogle SwoogleSwoogle Swoogle Swoogle Swoogle Swoogle Swoogle tell register Software agents need better access to a Web of knowledge to amplify their intelligence and knowledge

MotivationDBpedia DBpedia DBpedia DBpedia DBpedia DBpedia DBpedia DBpedia DBpediaDBpedia DBpedia DBpedia DBpedia DBpedia DBpedia tell register Key technologies: Semantic Web, linked data, text information extraction, Wikipedia derived KBs, etc.

ACLs Agents and knowledge has been a focus of agent communication languages (ACLs) Much of the ACL work has focused on primitives, protocols and infrastructure Less attention has been applied to finding, sharing and integrating ontologies, common background data, and populating KBs from the Web

Linked data and Wikipedia Wikipedia as a source of knowledge –Wikis are an effective tool for building know- ledge resources: consensus driven, dynamic, high quality and free Wikipedia as an ontology –Every Wikipedia page is a concept or object Wikipedia as RDF data –Map this ontology into RDF DBpedia as the lynchpin for Linked Data –Exploit its breadth of coverage to integrate information

Linked Data on the Web, 3/09 ~5 billion integrated facts published on the Web as RDF Linked Data

Wikipedia is the new Cyc There’s a history of using ency- clopedias to develop KBs Cyc’s original goal (c. 1984) was to encode the knowledge in a desktop encyclopedia And use it as an integrating ontology Wikipedia is comparable to Cyc’s original desktop encyclopedia But it’s machine accessible and malleable

Populating Freebase KB

Underlying Powerset’s KB

Driving AskWiki’s answers

With sometimes surprising results

Mined by TrueKnowledge

Source of Faviki tags

Conclusion, for now The web has made people smarter and more capable, providing easy access to the world's knowledge and services Software agents need better access to a Web of knowledge to amplify whatever intelligence they have Some key technologies are ready to exploit: Semantic Web, linked data, DBpedia, Wikitology, etc.