I2RP Meeting26 Oct 2005 Temporal Aspects of Intelligent Multimedia Retrieval and Presentation Zhisheng Huang, Jacco van Ossenbruggen, and Lynda Hardman.

Slides:



Advertisements
Similar presentations
Intelligent Technologies Module: Ontologies and their use in Information Systems Revision lecture Alex Poulovassilis November/December 2009.
Advertisements

Presentation and Multimedia
A Stepwise Modeling Approach for Individual Media Semantics Annett Mitschick, Klaus Meißner TU Dresden, Department of Computer Science, Multimedia Technology.
Chronos: A Tool for Handling Temporal Ontologies in Protégé
Multimedia Database Systems
Intro to HTML Kin 260 Jackie Kiwata.
Temporal Logic and the NuSMV Model Checker CS 680 Formal Methods Jeremy Johnson.
Situation Calculus for Action Descriptions We talked about STRIPS representations for actions. Another common representation is called the Situation Calculus.
CS6133 Software Specification and Verification
Microsoft PowerPoint 2013 An Overview.
Hypermedia Presentation Generation on the Web Lynda Hardman Jacco van Ossenbruggen CWI Amsterdam.
Of 27 lecture 7: owl - introduction. of 27 ece 627, winter ‘132 OWL a glimpse OWL – Web Ontology Language describes classes, properties and relations.
Sotiris Batsakis, Kostas Stravoskoufos Euripides G.M. Petrakis Technical University Of Crete Intelligent Systems Laboratory.
Systems and Users in Intelligent Information Retrieval: Who does What? prof. dr. L. Schomaker I 2 RP Symposium 3/2/2003, Delft.
Introducing ActionScript 3.0 Object-oriented programming language Used to power Flash Player Similar to JavaScript Can be embedded in a Flash project.
ISP 433/533 Week 2 IR Models.
Do You Have the Time? Composition and Linking in Time-based Hypermedia Lynda Hardman, Jacco van Ossenbruggen, K. Sjoerd Mullender, Lloyd Rutledge, and.
December 1, 2006 Florencehttp:// 1 Dynamic Aspects of SEKT Legal Ontologies Zhisheng Huang, Stefan Schlobach, Frank van Harmelen Vrije.
Where are the Semantics in the Semantic Web? Michael Ushold The Boeing Company.
China05 1 Reasoning with Inconsistent Ontologies 非协调本体的推理 Zhisheng Huang, Frank van Harmelen, and Annette ten Teije Vrije.
ISWC2005http://sekt.semanticweb.org/ Reasoning with Multi-version Ontologies: a temporal logic approach Zhisheng Huang and Heiner Stuckenschmidt Vrije.
Department of Computer Science and Engineering, CUHK 1 Final Year Project 2003/2004 LYU0302 PVCAIS – Personal Video Conference Archives Indexing System.
Department of Computer Science, University of Maryland, College Park 1 Sharath Srinivas - CMSC 818Z, Spring 2007 Semantic Web and Knowledge Representation.
School of Computer ScienceG53FSP Formal Specification1 Dr. Rong Qu Introduction to Formal Specification
China.2005http://sekt.semanticweb.org/ Reasoning with Multi-version Ontologies: a temporal logic approach Zhisheng Huang and Heiner Stuckenschmidt Vrije.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
Alternative Views of the Web Jon Gunderson, Ph.D. Division of Rehabilitation-Education Services University of Illinois at Urbana/Champaign.
Ontology Alignment/Matching Prafulla Palwe. Agenda ► Introduction  Being serious about the semantic web  Living with heterogeneity  Heterogeneity problem.
The Internet Writer’s Handbook 2/e Web Accessibility Writing for the Web.
Protege OWL Plugin Short Tutorial. OWL Usage The world wide web is a natural application area of ontologies, because ontologies could be used to describe.
Web Accessiblity Carol Gordon SIU Medical Library.
* * 0 OWL-S: Ontology Web Language For Services Reyhan AYDOĞAN Emre YILMAZ 21/12/2005OWL-S: Ontology Web Language for Services.
Department of Computer Science and Engineering, CUHK 1 Final Year Project 2003/2004 LYU0302 PVCAIS – Personal Video Conference Archives Indexing System.
Section 17.1 Add an audio file using HTML Create a form using HTML Add text boxes using HTML Add radio buttons and check boxes using HTML Add a pull-down.
Behavioral Research Chapter 6-Observing Behavior.
Benjamin Gamble. What is Time?  Can mean many different things to a computer Dynamic Equation Variable System State 2.
Thanks to Bill Arms, Marti Hearst Documents. Last time Size of information –Continues to grow IR an old field, goes back to the ‘40s IR iterative process.
CHAPTER TEN AUTHORING.
Slide 1 Standard Grade Computing Multimedia and Presentation.
Information Systems & Databases 2.2) Organisation methods.
1 Constraints for Multimedia Presentation Generation Joost Geurts, Multimedia and Human-Computer Interaction CWI Amsterdam
ARTIFICIAL INTELLIGENCE [INTELLIGENT AGENTS PARADIGM] Professor Janis Grundspenkis Riga Technical University Faculty of Computer Science and Information.
1 Application-specific constraints for multimedia presentation generation Joost Geurts, Jacco van Ossenbruggen and Lynda Hardman CWI Amsterdam
V Material obtained from summer workshop in Guildford County, July-2014.
1 Chapter 13 Programming Languages and Program Development Tools.
Modeling as a Design Technique Chapter 2 Part 1: Modeling Concepts Object-Oriented Modeling and Design Byung-Hyun Ha
House Styles for ICT How we expect your work to be presented……
Algorithms For Time Series Knowledge Mining Fabian Moerchen 沈奕聰.
Classroom Presentations PowerPoint Tutorial. Developing the PowerPoint Presentation  What material do you want to display? –Text, audio, visual image?
Artificial Intelligence 2004 Ontology
Intro to Multimedia Unit 1.
Trustworthy Semantic Webs Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #4 Vision for Semantic Web.
RESEARCH 101 AFE: Advertising Savvy Use of the Internet Playing It Safe (and Smart!) With Databases.
Introduction to Interactive Media Interactive Media Tools: Authoring Applications.
Marwan Al-Namari 1 Digital Representations. Bits and Bytes Devices can only be in one of two states 0 or 1, yes or no, on or off, … Bit: a unit of data.
Temporal Ontology Shervin Daneshpajouh ce.sharif.edu/~daneshpajouh.
Chapter 17. Assertions State Assertion – predicate intended to express that a descriptive or prescriptive property holds in an arbitrarily chose current.
COMP135/COMP535 Digital Multimedia, 2nd edition Nigel Chapman & Jenny Chapman Chapter 2 Lecture 2 – Digital Representations.
Video on the Semantic Web Experiences with Media Streams CWI Amsterdam Joost Geurts Jacco van Ossenbruggen Lynda Hardman UC Berkeley SIMS Marc Davis.
1 CSEP590 – Model Checking and Automated Verification Lecture outline for July 9, 2003.
Different Levels of Interaction : -Passive : only visualization -Reactive : limited inetraction ( e.g., scroll pane functionality). -Proactive : choose.
JavaScript Introduction and Background. 2 Web languages Three formal languages HTML JavaScript CSS Three different tasks Document description Client-side.
A Reduced Yet Extensible Audio- Visual Description Language: How to Escape From The MPEG-7 Bottleneck Thursday 28 th of October, 2004 Raphaël Troncy, Jean.
TRECVID IES Lab. Intelligent E-commerce Systems Lab. 1 Presented by: Thay Setha 05-Jul-2012.
Composing semantic Web services under constraints E.Karakoc, P.Senkul Journal: Expert Systems with Applications 36 (2009)
Introduction Multimedia initial focus
Lecture #11: Ontology Engineering Dr. Bhavani Thuraisingham
Thanks to Bill Arms, Marti Hearst
ece 720 intelligent web: ontology and beyond
Software Verification 2 Automated Verification
Presentation transcript:

I2RP Meeting26 Oct 2005 Temporal Aspects of Intelligent Multimedia Retrieval and Presentation Zhisheng Huang, Jacco van Ossenbruggen, and Lynda Hardman CWI The Netherlands

I2RP Meeting26 Oct 2005 Outline Motivation and Background Temporal approaches for intelligent multimedia retrieval and presentation Temporal reasoning in the Semantic Web Research Plan Past work (by Zhisheng) Demo

I2RP Meeting26 Oct 2005 Time and Multimedia Documents and Presentation Time is one of the most crucial aspects of multimedia documents and presentation. Audio, video, animation clips are presented with time goes, Image archivies are usually displayed with timelines, Text information describes events, time instants, intervals/periods, Presentation involves a series of actions which occur in time.

I2RP Meeting26 Oct 2005 Temporal Aspects and Their Description Time instant: year, date, time clock Time intervals and events: golden age, Monet’s born, Temporal Modifiers: after, before, in, during, Temporal operators: always in the past, sometimes in the past, never in the past, in the future, now, at present Action operators: doing, acting, …

I2RP Meeting26 Oct 2005 Semantics of Time Three Main Approaches: 1.The Quantitative Time Approach: time is a collection of time instants and intervals 2.The Temporal Logic Approach: time fluent is considered as state transitions 3.The Dynamic Logic Approach: time fluent is considered as results of taking actions

I2RP Meeting26 Oct 2005 Temporal Retrieval vs. Temporal Reasoning Temporal retrieval: find entities which satisfy a temporal specification. Temporal reasoning: check if a temporal property holds. Temporal retrieval can be achieved by converting answers with “yes/no” into answers with entities.

I2RP Meeting26 Oct 2005 Quantitative Time Time interval: Show all work which involve Monet in years ; Time instant: Show all Dutch impressionist work in 1926; Time instant with time modifier: Show all Dutch impressionist work after 1926; Event: Show all Dutch impressionist work in year Monet died; Event with time modifier: Show all Dutch impressionist work after Monet died;

I2RP Meeting26 Oct 2005 Temporal Logics Linear time vs. branching time Temporal operators: always-in-the-past, sometimes-in-the-past, never-in-the-past, at-present, always-in-the-future, Until Since

I2RP Meeting26 Oct 2005 Time in Temporal Logics Temporal retrieval: show the first Dutch impressionist work (in this art archive). ( Defined in terms of never-in- the-past operator and the at-present operator) Temporal reasoning: Is it never the case that a Cubist work occurred earlier than the first impressionist work ?

I2RP Meeting26 Oct 2005 Dynamic Logics State vs. Action A state corresponds with a time instant An action is a set of state pairs which correspond with the starting state and the ending state of the action. Dynamic operators: [a]p: after doing action a, the property p always holds; p: after doing action a, the property p may holds;

I2RP Meeting26 Oct 2005 Dynamic Actions Dynamic action operators: sequential actions, parallel actions, action choice, state checking conditional action

I2RP Meeting26 Oct 2005 Time in Dynamic Logics Temporal Presentation: a sequential execution of actions Temporal retrieval: a search action with temporal specification Temporal reasoning: model checking with dynamic actions

I2RP Meeting26 Oct 2005 Temporal Reasoning in the Semantic Web Temporal reasoning with RDF/RDFS data Temporal Ontologies Time in OWL

I2RP Meeting26 Oct 2005 Research Plan Compare the three temporal approaches Investigate their expressibility on intelligent multimedia retrieval and presentation Quantitative time reasoning for image retrieval and presentation Temporal retrieval and reasoning with the support of the Semantic Web technology.

I2RP Meeting26 Oct 2005 Some Past Work (by Zhisheng) Temporal reasoning for multi-version ontologies (2005) PAMELA: an intelligent presentation embodied agent (2004) Facial expressions for embodied agents in STEP (2004) XSTEP: a markup Language for embodied agents (2003) STEP: a scripting language for embodied agents (2002) WASP: Web Agent Support Program (2001)

I2RP Meeting26 Oct 2005 Pamela: Demo