1 1 1 Berendt: Advanced databases, first semester 2008, Advanced databases – Semantic Web Mining.

Slides:

Advertisements

Similar presentations

Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.

Advertisements

As You Begin Your Research … Diljit Singh. Preparing for the Journey.

TU/e eindhoven university of technology PACIS'03 July Engineering Semantic Web Information Systems Richard Vdovjak Flavius Frasincar Geert-Jan Houben.

Project 1 Camera Skills Samples of Student Work. Task #1- Zoom.

Using the Semantic Web to Construct an Ontology- Based Repository for Software Patterns Scott Henninger Computer Science and Engineering University of.

Berendt: Advanced databases, winter term 2007/08, 1 Advanced databases – Inferring implicit/new.

Semantic Web 2 ０６ T ０００６ Yoshiyuki Osawa. Aim of Semantic Web Information which users needs is collected by using a computer. Information on the web is.

Research topics Semantic Web - Spring 2007 Computer Engineering Department Sharif University of Technology.

E-services in the network society A master program.

OntoSTUDIO as a Ontology Engineering Environment

Fungal Semantic Web Stephen Scott, Scott Henninger, Leen-Kiat Soh (CSE) Etsuko Moriyama, Ken Nickerson, Audrey Atkin (Biological Sciences) Steve Harris.

Towards Semantic Web Mining Bettina Berndt Andreas Hotho Gerd Stumme.

The Semantic Web Week 1 Module Content + Assessment Lee McCluskey, room 2/07 Department of Computing And Mathematical Sciences Module.

1 Roger L. Costello, David B. Jacobs. © 2003 The MITRE Corporation. Examples Using the OWL Camera Ontology Roger L. Costello David B. Jacobs The MITRE.

Tony Wilson Academic Liaison Librarian for Computer Science May 2011.

1 Semantic Web Mining Presented by: Chittampally Vasanth Raja 10IT05F M.Tech (Information Technology)

The Erik Jonsson School of Engineering and Computer Science Ph.D. in CS/SE at UTD Balaji Raghavachari Department of Computer Science University of Texas.

Aperture Priority Photo No.PlacementMeter Setting f/stop/S.S pd Describe Photo Quality 1In front of window Matrix2.8 Insert Picture Backlit Situations:

1 Roger L. Costello, David B. Jacobs. © 2003 The MITRE Corporation. A Five Minute Intro to XML Roger L. Costello The MITRE Corporation.

An Intelligent Broker Architecture for Context-Aware Systems A PhD. Dissertation Proposal in Computer Science at the University of Maryland Baltimore County.

1 Berendt: Advanced databases, first semester 2009, 1 Conceptual Modelling: ER, UML and OWL - and the Semantic.

1 Roger L. Costello, David B. Jacobs. © 2003 The MITRE Corporation. A Quick Introduction to OWL Web Ontology Language Roger L. Costello David B. Jacobs.

Krishnaprasad Thirunarayan, Pramod Anantharam, Cory A. Henson, and Amit P. Sheth Kno.e.sis Center, Ohio Center of Excellence on Knowledge-enabled Computing,

1 Berendt: Knowledge and the Web, 1st semester 2014/2015, 1 Knowledge and the Web Inference on the Semantic.

Tim Finin University of Maryland, Baltimore County 29 January 2013 Joint work with Anupam Joshi, Laura Zavala and our students SRI Social Media Workshop.

SQL Databases are a Moving Target Juan F. Sequeda – Syed Hamid Tirmizi –

1 Roger L. Costello, David B. Jacobs. © 2003 The MITRE Corporation. A Quick Introduction to OWL Web Ontology Language Roger L. Costello David B. Jacobs.

Current Trends in Databases - Introduction, part 2 - Bettina Berendt and Marie-Francine Moens 11 February 2009.

1 Berendt: Advanced databases, first semester 2011, 1 Advanced databases – Inferring new knowledge.

Developing “Geo” Ontology Layers for Web Query Faculty of Design & Technology Conference David George, Department of Computing.

1 Berendt: Advanced databases, first semester 2009, 1 Advanced databases – Introduction and overview Prof.

Text Based Information Retrieval Text Based Information Retrieval H02C8A H02C8B Marie-Francine Moens Karl Gyllstrom Katholieke Universiteit Leuven.

The Erik Jonsson School of Engineering and Computer Science Dissertation and beyond: Ph.D. in CS/SE at UTD Dr. Balaji Raghavachari Department of Computer.

Privacy Framework for RDF Data Mining Master’s Thesis Project Proposal By: Yotam Aron.

Andreas Abecker Knowledge Management Research Group From Hypermedia Information Retrieval to Knowledge Management in Enterprises Andreas Abecker, Michael.

Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.

1 Berendt: Advanced databases, first semester 2008, 1 Advanced databases – Introduction and overview.

1 Berendt: Advanced databases, 1st semester 2012/2013, 1 Advanced databases – Inference on the Semantic Web.

Take a series of photos in manual mode to demonstrate an understanding of exposure and depth of field.

1 OWL Application The following slides are from Roger L. Costello and David B. Jacobs, The MITRE Corporation.

Data mining, interactive semantic structuring, and collaboration: A diversity-aware method for sense-making in search Mathias Verbeke, Bettina Berendt,

1 1 The Databases Specialisation: Advanced Databases; Current Trends in Databases Bettina Berendt September 2009 Katholieke Universiteit Leuven, Department.

Exposure Factor 2: Aperture

Text Based Information Retrieval H02C8A Marie-Francine Moens Karl Gyllstrom Katholieke Universiteit Leuven Study points: 4 Language: English Periodicity:

Berendt: Advanced databases, winter term 2007/08, 1 Advanced databases – Inferring implicit/new.

The Semantic Web. What is the Semantic Web? The Semantic Web is an extension of the current Web in which information is given well-defined meaning, enabling.

Service Oriented Architecture in the presence of information structure (audio of this talk)audio of this talk Presenter: Paul S Prueitt, PhD:

Exposure. In order for an image to be captured, it must be exposed to light. In order for an image to be captured, it must be exposed to light. The camera.

There are four main functions of the lens…. The first and most obvious is…

1 1 Advanced Databases; Current Trends in Databases Bettina Berendt / Ilija Subašić September 2011 Katholieke Universiteit Leuven, Department of Computer.

Current Trends in Databases - Introduction - Bettina Berendt, Erik Duval, Marie-Francine Moens 10 February 2010.

Digital Photography. Photography Triangle Shutter Speed Speed at which the film or sensor is exposed to light Usually a fraction 1/250 = th of.

Understanding Aperture (a beginner’s guide) Understanding Aperture (a beginner’s guide)

Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence 6/22/2016 1Management Information Systems.

‘Ontology Management’ Peter Fox (Semantic Web Cluster lead)

Course Introduction 공학대학원 데이타베이스

Cross-Ontological Relationships

Lecture #11: Ontology Engineering Dr. Bhavani Thuraisingham

Artificial Intelligence and Lisp Lecture 13 Additional Topics in Artificial Intelligence LiU Course TDDC65 Autumn Semester,

What I Need To Know About Operating A Camera

Ontology Mapping Shreya Das Sina Sanaeidashti Advisor: Bahareh Zarai.

Discrete Structures for Computer Science

ISI Web of Knowledge Early updates

Rui Yang, Wei Hu and Yuzhong Qu

Piotr Kaminski University of Victoria September 24th, 2002

Personal Assistants for the Web: An MIT Perspective

موضوع مقاله: ارائه یک الگوریتم بهبودیافته وب کاوی برای وب معنایی ارائه دهنده: فرزانه ربانی، دانشجوی ترم 5 کارشناسی نرم افزار، دانشگاه کاشان نام استاد:

CSE 635 Multimedia Information Retrieval

Google Scholar Carter Matherly, Ph.D.. Content Introduction What is GoogleScholar? The Basics Citation Management Advanced Searching Alerts Adding.

Data and Applications Security Developments and Directions

Presentation transcript:

1 1 1 Berendt: Advanced databases, first semester 2008, Advanced databases – Semantic Web Mining Bettina Berendt Katholieke Universiteit Leuven, Department of Computer Science Last update: 3 December 2008

2 2 2 Berendt: Advanced databases, first semester 2008, Recap: “Standard” inference on the Semantic Web Match? To determine if there is a match, these questions must be answered: 1. What's the relationship between "SLR" and "Camera"? 2. What's the relationship between "focal-length" and "size"? 3. What's the relationship between "f-stop" and "aperture"? <PhotographyStore rdf:ID="Hunts" xmlns:rdf="&rdf;#"> Malden, MA <SLR rdf:ID="Olympus-OM-10" xmlns=" mm zoom seconds 325 USD I am interested in purchasing a camera with a mm zoom lens size, that has an aperture of , and a shutter speed that ranges from 1/500 sec. to 1.0 sec.

3 3 3 Berendt: Advanced databases, first semester 2008, But what about such situations? (1) [Queries and Smeagol from Grimnes (2008)] - But while the available knowledge bases know about Semantic Web experts, they don‘t have records of their publications - But while Bob has ranked several multi-media items before, he has not ranked any movies or books yet

4 4 4 Berendt: Advanced databases, first semester 2008, But what about such situations? (2) - But while the knowledge bases know about the interests of Alice‘s husband and colleagues, they don‘t know about Alice‘s - But while Bob has sent some s to Alice, and some as CC to her, none of them contain any topic information SELECT ?interest

5 5 5 Berendt: Advanced databases, first semester 2008, An application scenario for the Semantic Web: The Semantic Desktop From... Via... To...

6 6 6 Berendt: Advanced databases, first semester 2008, The big picture: Semantic Web Mining – a vision Slides: (hyperlinked on the Lecture Homepage)

7 7 7 Berendt: Advanced databases, first semester 2008, Query 3

8 8 8 Berendt: Advanced databases, first semester 2008, Query 2 – an unsuccessful attempt

9 9 9 Berendt: Advanced databases, first semester 2008, Query 2

10 Berendt: Advanced databases, first semester 2008, Query 1

11 Berendt: Advanced databases, first semester 2008, Some background: Clustering RDF instances Slides: (hyperlinked on the Lecture Homepage) Note how this complements schema-based ontology matching with instance-based matching (of Semantic Web content that may or may not refer to ontologies)!  „Lightweight“ solutions, or: The Semantic Web focusing on data and their integration (as opposed to focusing on formal semantics)

12 Berendt: Advanced databases, first semester 2008, Literature Stumme, G., Hotho, A., & Berendt, B. (2006). Semantic Web Mining: State of the Art and Future Directions. Journal of Web Semantics, 4(2), Gunnar Aastrand Grimnes (2008). A Goal Directed Learning Agent for the Semantic Web. PhD Thesis, Department of Computing Science, University of Aberdeen.