Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany Semantic Web - Motivation & Agenda – Steffen Staab

Slides:

Advertisements

Similar presentations

Information Systems & Semantic Web University of Koblenz Landau, Germany Advanced Data Modeling Relational Data Model continued Steffen Staab with Simon.

Advertisements

A Stepwise Modeling Approach for Individual Media Semantics Annett Mitschick, Klaus Meißner TU Dresden, Department of Computer Science, Multimedia Technology.

–scheduled tasks –Custom security realms.

Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany Semantic Web - Query Languages – Steffen Staab

Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany General Chairs Dietrich Paulus Steffen Staab SAMT 2008 Semantics and Digital.

Wrap up  Matching  Geometry  Semantics  Multiscale modelling / incremental update / generalization  Geometric algorithms  Web Services.

Applications Chapter 9, Cimiano Ontology Learning Textbook Presented by Aaron Stewart.

Semantic Web and Web Mining: Networking with Industry and Academia İsmail Hakkı Toroslu IST EVENT 2006.

OWL-AA: Enriching OWL with Instance Recognition Semantics for Automated Semantic Annotation 2006 Spring Research Conference Yihong Ding.

Information Retrieval Concerned with the: Representation of Storage of Organization of, and Access to Information items.

Two-Level Semantic Annotation Model BYU Spring Conference 2007 Yihong Ding Sponsored by NSF.

AceMedia Personal content management in a mobile environment Jonathan Teh Motorola Labs.

Annotating Documents for the Semantic Web Using Data-Extraction Ontologies Dissertation Proposal Yihong Ding.

ReQuest (Validating Semantic Searches) Norman Piedade de Noronha 16 th July, 2004.

Visual Information Retrieval Chapter 1 Introduction Alberto Del Bimbo Dipartimento di Sistemi e Informatica Universita di Firenze Firenze, Italy.

Multimedia Data Mining Arvind Balasubramanian Multimedia Lab (ECSS 4.416) The University of Texas at Dallas.

MUSCLE WP9 E-Team Integration of structural and semantic models for multimedia metadata management Aims: (Semi-)automatic MM metadata specification process.

DOG I : an Annotation System for Images of Dog Breeds Antonis Dimas Pyrros Koletsis Euripides Petrakis Intelligent Systems Laboratory Technical University.

Retrieval Effectiveness of an Ontology-based Model for Information Selection Khan, L., McLeod, D. & Hovy, E. Presented by Danielle Lee.

NATIONAL TECHNICAL UNIVERSITY OF ATHENS Image, Video And Multimedia Systems Laboratory

Steffen Staab 1WeST Web Science & Technologies University of Koblenz ▪ Landau, Germany Introduction to Web Science

Personalized Information Retrieval in Context David Vallet Universidad Autónoma de Madrid, Escuela Politécnica Superior,Spain.

Mining the Semantic Web: Requirements for Machine Learning Fabio Ciravegna, Sam Chapman Presented by Steve Hookway 10/20/05.

Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany Semantic Web - Multimedia Annotation – Steffen Staab

NATIONAL TECHNICAL UNIVERSITY OF ATHENS Image, Video And Multimedia Systems Laboratory Background

MPEG-7 Interoperability Use Case. Motivation MPEG-7: set of standardized tools for describing multimedia content at different abstraction levels Implemented.

Development of Domain Ontology, Targeted at the Creation of Learning Materials from Digital Archives Kamenka Staykova, Danail Dochev, Desislava Paneva,

1 st International Semantic Web Conference (ISWC2002) Sardinia, Italy, June 2002.

RCDL Conference, Petrozavodsk, Russia Context-Based Retrieval in Digital Libraries: Approach and Technological Framework Kurt Sandkuhl, Alexander Smirnov,

Dimitrios Skoutas Alkis Simitsis

 Copyright 2008 Digital Enterprise Research Institute. All rights reserved. Semantic on the Social Semantic Desktop.

Semantic Technologies & GATE NSWI Jan Dědek.

VIKEF – Take the VIKEF train towards smart services …

Article by Dunja Mladenic, Marko Grobelnik, Blaz Fortuna, and Miha Grcar, Chapter 3 in Semantic Knowledge Management: Integrating Ontology Management,

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.

Web Information Systems Modeling Luxembourg, June VisAVis: An Approach to an Intermediate Layer between Ontologies and Relational Database Contents.

CREAM: Semantic annotation system May 24, 2013 Hee-gook Jun.

Informatics and Telematics Institute Centre for Research and Technology Hellas ITI-CERTH Amsterdam, Multimedia Semantics XG, July 2006 Vasileios.

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.

Recuperação de Informação Cap. 01: Introdução 21 de Fevereiro de 1999 Berthier Ribeiro-Neto.

Web Science & Technologies University of Koblenz ▪ Landau, Germany Relational Data Model.

Web Science & Technologies University of Koblenz ▪ Landau, Germany Models in First Order Logics.

DANIELA KOLAROVA INSTITUTE OF INFORMATION TECHNOLOGIES, BAS Multimedia Semantics and the Semantic Web.

1 The Arizona Semantic Test constructed and test by the Aphasia Research Project at the University of Arizona Manuscript with normative data in preparation.

Steffen Staab ISWeb – Informationssysteme & Semantic Web Semantic Multimedia Steffen Staab, Univ. Sheffield March 28, 2006.

Paloma Marín Arraiza 17 th International Conference on Grey Literature 1 st and 2 nd December 2015, Amsterdam (Netherlands) SCIENTIFIC AUDIOVISUAL MATERIALS.

COMM: Designing a Well-Founded Multimedia Ontology for the Web Wednesday 14 th of November, 2007 Richard Arndt Steffen Staab Rapha.

Architectural Considerations for Semantic Support Group Name: WG5 Source: Martin Bauer (NEC), Joerg Swetina (NEC) Meeting Date: Agenda Item:

Web Science & Technologies University of Koblenz ▪ Landau, Germany Models in First Order Logics.

Steffen Staab 1WeST Web Science & Technologies University of Koblenz ▪ Landau, Germany Network Theory and Dynamic Systems Link Prediction.

Ontology  An ontology is a shared conceptualization of a domain  An ontology is hierarchical a set of definitions in a formal language for terms describing.

SSMS 2006 Chalkidiki, Greece 3 rd – 9 th September.

ISWeb - Information Systems & Semantic Web Thomas Franz XG-MMSem Athens UNIVERSITÄT KOBLENZ LANDAU UC Tagging.

Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany Advanced Data Modeling Steffen Staab with Simon Schenk.

An Ontology-based Automatic Semantic Annotation Approach for Patent Document Retrieval in Product Innovation Design Feng Wang, Lanfen Lin, Zhou Yang College.

A Formal Model of Events Based on the Foundational Ontology DOLCE+DnS Ultralight Ansgar Scherp, Thomas Franz, Carsten Saathoff, Steffen Staab Information.

S. Schenk, C. Saathoff, A. Baumesberger, F. Jochum, A. Kleinen, S. Staab, and A. Scherp Information Systems & Semantic Web University of Koblenz, Germany.

Semantic Web Technologies Readings discussion Research presentations Projects & Papers discussions.

11 Thoughts on STS regarding Machine Reading Ralph Weischedel 12 March 2012.

Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany Advanced Data Modeling Steffen Staab with Simon Schenk TexPoint fonts used in.

Working meeting of WP4 Task WP4.1

Digital Video Library - Jacky Ma.

Visual Information Retrieval

Introduction Multimedia initial focus

Multimedia Information Retrieval

Zachary Cleaver Semantic Web.

Critically Looking at Media

CSE 635 Multimedia Information Retrieval

Recuperação de Informação

Motivation It can effectively mine multi-modal knowledge with structured textural and visual relationships from web automatically. We propose BC-DNN method.

Presentation transcript:

Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany Semantic Web - Motivation & Agenda – Steffen Staab

ISWeb - Information Systems & Semantic Web Steffen Staab Semantics: What for? Tasks & Purpose Find me pictures about a boy on the beach Find me cute pictures about Nico to show to my Mum Find me pictures from Greece Find me pictures from our common holiday  with a resolution of ….  with no other person in the foreground…

ISWeb - Information Systems & Semantic Web Steffen Staab What does this mean?

ISWeb - Information Systems & Semantic Web Steffen Staab Multimedia Semantics Content semantics (general knowledge): boy; beach; jet ski; sea; sky Content semantics („private knowledge“): Nico digging Retrieval semantics: cute picture to show Situational semantics: Chalkidiki, Greece, 2006 Social semantics: SSMS 2006

ISWeb - Information Systems & Semantic Web Steffen Staab Multimedia Semantics Technical perspective Human perspective Multimedia content semantics Multimedia situational semantics Multimedia retrieval semantics Multimedia social semantics boy cute Turkey common vacation And semiotics will tell you that this list is incomplete…

ISWeb - Information Systems & Semantic Web Steffen Staab Multimedia Semantics Multimedia content semantics Multimedia situational semantics Multimedia retrieval semantics Multimedia social semantics boy cute Turkey common vacation Extract from (image) data Capture (during creation) Feedback & AutoClassify Manual Class. & Mgmt

ISWeb - Information Systems & Semantic Web Steffen Staab Extract from (image) data Capture (during creation) Feedback & AutoClassify Manual Class. & Mgmt Find me a cute picture of Nico digging during our common vacation

ISWeb - Information Systems & Semantic Web Steffen Staab Ontology "One Ring to rule them all, One Ring to find them, One Ring to bring them all and in the darkness bind them." Inscribed on the One Ring boy cute Turkey common vacation

ISWeb - Information Systems & Semantic Web Steffen Staab Ontology Core Questions for Multimedia: How to represent the ontology? How to query the ontology? Which ontology to construct how? How to populate the ontology? boy cute Turkey common vacation

ISWeb - Information Systems & Semantic Web Steffen Staab Agenda Core Questions for Multimedia: How to represent the ontology? How to query the ontology? Which ontology to construct how? How to populate the ontology? Agenda Items: Ontology Representation Languages Ontology Query Languages Multimedia Ontologies Ontology-based  content recognition  content creation  retrieval and feedback  metadata management

ISWeb - Information Systems & Semantic Web Steffen Staab Agenda Core Questions for Multimedia: How to represent the ontology? How to query the ontology? Which ontology to construct how? How to populate the ontology? Agenda Items: Ontology Representation Languages Ontology Query Languages Multimedia Ontologies Ontology-based  annotation  content recognition  content creation  retrieval and feedback  metadata management Not considered in this tutorial!

ISWeb - Information Systems & Semantic Web Steffen Staab Thank You ISWeb - Information Systems & Semantic Web University of Koblenz ▪ Landau, Germany