Integrating Structure and Semantics into Audio-visual Documents Tuesday 21 st of October, 2003 Raphaël Troncy 2nd International Semantic Web Conference.

Slides:



Advertisements
Similar presentations
Ontological Infrastructure for a Semantic Newspaper Roberto García 1, Ferran Perdrix 1,2, Rosa Gil 1 1 GRIHO – Human Computer Interaction Research Group.
Advertisements

Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
AVATAR: Advanced Telematic Search of Audivisual Contents by Semantic Reasoning Yolanda Blanco Fernández Department of Telematic Engineering University.
Using Several Ontologies for Describing Audio-Visual Documents: A Case Study in the Medical Domain Sunday 29 th of May, 2005 Antoine Isaac 1 & Raphaël.
Schema Matching and Query Rewriting in Ontology-based Data Integration Zdeňka Linková ICS AS CR Advisor: Július Štuller.
TU e technische universiteit eindhoven / department of mathematics and computer science Modeling User Input and Hypermedia Dynamics in Hera Databases and.
CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.
Using XSLT for Interoperability: DOE and The Traveling Domain Experiment Monday 20 th of October, 2003 Antoine Isaac, Raphaël Troncy and Véronique Malaisé.
A Stepwise Modeling Approach for Individual Media Semantics Annett Mitschick, Klaus Meißner TU Dresden, Department of Computer Science, Multimedia Technology.
RDF Schemata (with apologies to the W3C, the plural is not ‘schemas’) CSCI 7818 – Web Technologies 14 November 2001 Van Lepthien.
SIG2: Ontology Language Standards WebOnt Briefing Ian Horrocks University of Manchester, UK.
Of 27 lecture 7: owl - introduction. of 27 ece 627, winter ‘132 OWL a glimpse OWL – Web Ontology Language describes classes, properties and relations.
Using the Semantic Web to Construct an Ontology- Based Repository for Software Patterns Scott Henninger Computer Science and Engineering University of.
PR-OWL: A Framework for Probabilistic Ontologies by Paulo C. G. COSTA, Kathryn B. LASKEY George Mason University presented by Thomas Packer 1PR-OWL.
How can Computer Science contribute to Research Publishing?
ReQuest (Validating Semantic Searches) Norman Piedade de Noronha 16 th July, 2004.
Philips Research France Delivery Context in MPEG-21 Sylvain Devillers Philips Research France Anthony Vetro Mitsubishi Electric Research Laboratories.
The RDF meta model: a closer look Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations.
From SHIQ and RDF to OWL: The Making of a Web Ontology Language
OIL: An Ontology Infrastructure for the Semantic Web D. Fensel, F. van Harmelen, I. Horrocks, D. L. McGuinness, P. F. Patel-Schneider Presenter: Cristina.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
CS 586 – Distributed Multimedia Information Management Prof. Dennis McLeod.
New trends in Semantic Web Cagliari, December, 2nd, 2004 Using Standards in e-Learning Claude Moulin UMR CNRS 6599 Heudiasyc University of Compiègne (France)
Aidministrator nederland b.v. Adding formal semantics to the Web Jeen Broekstra, Michel Klein, Stefan Decker, Dieter Fensel,
 Copyright 2005 Digital Enterprise Research Institute. All rights reserved. Towards Translating between XML and WSML based on mappings between.
A Motivating Scenario for Designing an Extensible Audio- Visual Description Language Monday 25 th of October, 2004 Raphaël Troncy, Jean Carrive, Steffen.
Practical RDF Chapter 1. RDF: An Introduction
An Introduction to Description Logics. What Are Description Logics? A family of logic based Knowledge Representation formalisms –Descendants of semantic.
The MPEG-7 Standard - A Brief Tutorial - Ali Tabatabai Sony US Research Laboratories February 27, 2001.
Mining the Semantic Web: Requirements for Machine Learning Fabio Ciravegna, Sam Chapman Presented by Steve Hookway 10/20/05.
Ontologies for the Integration of Geospatial Data Michael Lutz Workshop: Semantics and Ontologies for GI Services, 2006 Paper: Lutz et al., Overcoming.
Logics for Data and Knowledge Representation
A Proposal for a Video Modeling for Composing Multimedia Document Cécile ROISIN - Tien TRAN_THUONG - Lionel VILLARD Presented by: Tien TRAN THUONG Project.
Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany Semantic Web - Multimedia Annotation – Steffen Staab
Formalization of documentary knowledge and conceptual knowledge with ontologies : applying to the description of audio-visual documents Friday 23 rd of.
MPEG-7 Interoperability Use Case. Motivation MPEG-7: set of standardized tools for describing multimedia content at different abstraction levels Implemented.
Košice, 10 February Experience Management based on Text Notes The EMBET System Michal Laclavik.
CORPORUM-OntoExtract Ontology Extraction Tool Author: Robert Engels Company: CognIT a.s.
Description of some multimedia ontologies Rapha ë l Troncy Thursday 1 st of December, 2005.
©Ferenc Vajda 1 Semantic Grid Ferenc Vajda Computer and Automation Research Institute Hungarian Academy of Sciences.
Using Several Ontologies for Describing Audio-Visual Documents: A Case Study in the Medical Domain Sunday 29 th of May, 2005 Antoine Isaac 1 & Raphaël.
© Geodise Project, University of Southampton, Knowledge Management in Geodise Geodise Knowledge Management Team Barry Tao, Colin Puleston, Liming.
Integration of Domain & Application Knowledge in MPEG-7/21 in the DS-MIRF Framework Laboratory of Distributed Multimedia Information Systems & Applications.
PHS / Department of General Practice Royal College of Surgeons in Ireland Coláiste Ríoga na Máinleá in Éirinn Knowledge representation in TRANSFoRm AMIA.
User Profiling using Semantic Web Group members: Ashwin Somaiah Asha Stephen Charlie Sudharshan Reddy.
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.
The RDF meta model Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations of XML compared.
Metadata “Data about data” Describes various aspects of a digital file or group of files Identifies the parts of a digital object and documents their content,
1 Class exercise II: Use Case Implementation Deborah McGuinness and Peter Fox CSCI Week 8, October 20, 2008.
DANIELA KOLAROVA INSTITUTE OF INFORMATION TECHNOLOGIES, BAS Multimedia Semantics and the Semantic Web.
COMM: Designing a Well-Founded Multimedia Ontology for the Web Wednesday 14 th of November, 2007 Richard Arndt Steffen Staab Rapha.
WonderWeb. Ontology Infrastructure for the Semantic Web. IST Project Review Meeting, 11 th March, WP2: Tools Raphael Volz Universität.
OWL Web Ontology Language Summary IHan HSIAO (Sharon)
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.
Semantic Interoperability in GIS N. L. Sarda Suman Somavarapu.
Designing and Using an Audio-Visual Description Core Ontology Friday 8 th of October, 2004 Antoine Isaac & Raphaël Troncy.
Versatile Information Systems, Inc International Semantic Web Conference An Application of Semantic Web Technologies to Situation.
Ontology Technology applied to Catalogues Paul Kopp.
Introduction to MPEG  Moving Pictures Experts Group,  Geneva based working group under the ISO/IEC standards.  In charge of developing standards for.
Semantic and geographic information system for MCDA: review and user interface building Christophe PAOLI*, Pascal OBERTI**, Marie-Laure NIVET* University.
Mechanisms for Requirements Driven Component Selection and Design Automation 최경석.
Working meeting of WP4 Task WP4.1
SAMT 2006.
Ontology.
ece 720 intelligent web: ontology and beyond
Multimedia Content Description Interface
Session 2: Metadata and Catalogues
Ontology-Based Approaches to Data Integration
Ontology.
Semantic Markup for Semantic Web Tools:
Presentation transcript:

Integrating Structure and Semantics into Audio-visual Documents Tuesday 21 st of October, 2003 Raphaël Troncy 2nd International Semantic Web Conference (ISWC2003)

10/21/2003 Raphaël Troncy - ISWC'20031 Description of the AV content A three step process : –identification of the content creator and the content provider : Dublin Core metadata, VRA core categories … –structural decomposition in video segments corresponding to the logical structure of the program : time-code, spatial coordinates –semantic description of these segments : controlled vocabulary, thesaurus, free text annotation

10/21/2003 Raphaël Troncy - ISWC'20032 Description of the AV content Segmentation –locate and date some events Description –type each segment with an AV genre –type each segment with a general thematic –describe the scene (who, when, where, what, …) describe the logical structure describe the semantics of the content

10/21/2003 Raphaël Troncy - ISWC'20033 Example Q : Find all AV sequences of type interview with Sandy Casar and concerning the Paris-Nice cycling race –noise answer : there are other sports news in the sequence –incomplete answer : the interview was broadcasted in two parts and began in a previous sequence –the query cannot be extended ! 13 [Indoor Set: 6 th part] at 18:43:56: :09:06:00. – Eurosport In studio, the second part of the interview, from Nice, of Sandy CASAR by Jean René GODART about the Paris-Nice cycling race and a few sports news with pictures commented by Alexandre BOYON and Laurent PUYAT. Q : Find all AV sequences of type dialog sequence with a rider and concerning any cycling race with several stages

10/21/2003 Raphaël Troncy - ISWC'20034 Requirements : –express models that constrain the logical structure identify an interview inside a report of a sports magazine –represent the meaning contained in this structure a cartoon is a fiction with no real characters –describe semantically the content of each sequence the Prologue is always an individual time trial numbered stage 0  Which languages are the most suitable to perform all these tasks ? Problems Weak use of the logical structures Descriptions are not made for reasoning  make the AV descriptions accessible to automated processes

10/21/2003 Raphaël Troncy - ISWC'20035 "Pure" documentary approaches General bibliographic description languages (DC, VRA) MPEG-7 : the new multimedia description language ? –three components: D, DS and DDL –structure: segment = abstract unit defined by temporal localization or masks –semantics: entity–attribute–relation model + thesaurus for structuring the knowledge (Classification Schemes) –tools: Videto (ZGDV), Vizard (EU-IST Project), MovieTool (© Ricoh) Extensions –XML Schema : add structure without semantics TV Anytime, Mdéfi [Tran Thuong, 2003] –Classification Schemes : very poor expressivity COALA [Fatemi, 2003]

10/21/2003 Raphaël Troncy - ISWC'20036 KR approaches: OWL+RDF Definition of concepts and relations StudioProgram  and ( HomogeneousProgram (all hasPart StudioSequence) ) Definition of axioms HomogeneousProgram  HeterogeneousProgram =   Problem : the structure of the document (i.e. the context) is lost !  let us merge the two approaches !

10/21/2003 Raphaël Troncy - ISWC'20037 General architecture

10/21/2003 Raphaël Troncy - ISWC'20038 The Audio-visual Ontology Methodology of construction: [Bachimont et al., EKAW’02] –Conceptualization : differential principles –Formalization : formal definitions, axioms –Operationalization : export into a KR language AV domain: –Production objects (program, sequence, AV genre), Properties (theme), Persons, Technical Process (shooting, recording, post- production), Signal descriptors (audio, video), etc. Tools: –Conceptualization : DOE [Bachimont et al., EKAW’02] –Formalization : OilEd [Bechhofer, KI’01] –Languages : DAML+OIL … OWL DOE and ontologies are available at :

10/21/2003 Raphaël Troncy - ISWC'20039 The Audio-visual Ontology

10/21/2003 Raphaël Troncy - ISWC' General architecture

10/21/2003 Raphaël Troncy - ISWC' Generate XML Schema types OWL Class Sub-class Restriction on properties Union of classes XML Schema Complex type Extension Element of the content model Choice in the content model XSLT ? Some concepts (program, sequence) extend the MPEG-7 Segment type, hence the descriptions are MPEG-7 valid

10/21/2003 Raphaël Troncy - ISWC' Build description schemes for the documents Let us watch some sports magazine –construction of a simple schema based on StudioSequence, Report and Interview –a Report contains some FilmClips of Broadcast Live Sports The schema provides the description skeleton for several sports magazine: –Téléfoot (soccer) –VéloClub (cycling) –3 Partout (multisports)

10/21/2003 Raphaël Troncy - ISWC' General architecture

10/21/2003 Raphaël Troncy - ISWC' SegmenTool [French project CHAPERON]

10/21/2003 Raphaël Troncy - ISWC' Instantiate a document content model T00:24:19 PT00H00M07S... KB RDF triples

10/21/2003 Raphaël Troncy - ISWC' General architecture

10/21/2003 Raphaël Troncy - ISWC' The Cycling Ontology

10/21/2003 Raphaël Troncy - ISWC' Knowledge base population Cycling Domain text + Base of facts

10/21/2003 Raphaël Troncy - ISWC' Implementation of the KB Sesame : architecture for the storage of RDF triples [Broekstra, 2002] –Supports different query languages: RQL, RDQL and SeRQL –Implements the RDFS semantics (RDF-MT engine) BOR : reasoner for the DAML+OIL language [Simov & Jordanov, 2002] SeBOR : integration of the two systems, done in the On-To-Knowledge EU-IST Project –Enhanced inference services are provided –Closed to what OWL DL reasoner will perform

10/21/2003 Raphaël Troncy - ISWC' Sesame+BOR interface Demo

10/21/2003 Raphaël Troncy - ISWC' Conclusion General architecture for reasoning on descriptions of video documents: –Modeling of 2 ontologies (methodology + DOE) –Formalization of these ontologies (OilEd, OWL) –Creation of document schemes (extended MPEG-7) –Creation of instances of these schemas: the structure of the descriptions (SegmenTool + XSLT transformation for creating a base of RDF triples) –Creation of a Knowledge Base of events related to cycling race and use of an adapted reasoner ( Sesame + BOR, ©AIdministrator-NL & ©OntoText-BG )

10/21/2003 Raphaël Troncy - ISWC' Future work Development integration –provide a simple interface for querying on both the structure and the content of the video –watch the AV sequences corresponding to the RDF triples returned by SeBOR Mid-term objectives –scalability: test the system on a large base of videos annotated with real users –use the future OWL reasoners Long-term objectives –use this architecture with another domain (other than cycling) –will we have to simply build another ontology ? what do we have to adapt ?