LifeLogOn: Log on to Your Lifelog Ontology! Introduction & Demonstration Sangkeun Lee, Gihyun Gong, Sang-goo Lee Intelligent Database Systems Lab Seoul.

Slides:



Advertisements
Similar presentations
1 Ontolog OOR Use Case Review Todd Schneider 1 April 2010 (v 1.2)
Advertisements

Intelligent Technologies Module: Ontologies and their use in Information Systems Revision lecture Alex Poulovassilis November/December 2009.
AVATAR: Advanced Telematic Search of Audivisual Contents by Semantic Reasoning Yolanda Blanco Fernández Department of Telematic Engineering University.
CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.
Personalized Navigation in the Semantic Web: An Enhanced Faceted Browser Michal Tvarožek FIIT STU BA.
The whole world in the palm of your hand… Daniel A. Smith Alisdair Owens Alistair Russell Max Wilson Daniel A. Smith Alisdair Owens Alistair Russell Max.
Online Submission and Management Information -- Authors
THAT STRANGER IS NOT YOUR FRIEND Facebook 101:. Housekeeping This presentation is not exhaustive It is just enough information to get you started; making.
WinFS. Overview of WinFS WinFS stands for Windows Future storage. WinFS is the code name of a Windows storage subsystem, being developed by Microsoft.
The RDF meta model: a closer look Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations.
XLink: Open Linking Standard XML / XSL separate  data semantics  presentation semantics Need to also separate out  navigation semantics Single unique.
Created by Amber Craddock, Kylee Stone & Caleb Truette.
Copyright ©: SAMSUNG & Samsung Hope for Youth. All rights reserved Tutorials The internet: Social networks and communities Suitable for: Improver.
Exploring Personal CoreSpace For DataSpace Management Li Yukun and Xiaofeng Meng WAMDM Lab Renmin University of China.
Metadata Understanding the Value and Importance of Proper Data Documentation Exercise 2 Reading a Metadata File Exercise 3 Using the Workbook Exercise.
U3A DCW Digital Computer/Camera Workshop Leader – Brian Moore Assisted by – John Sherwood, Neil Crossley, Alan White, Alan Davies. Week 2 of 4 weeks. Dates.
Data Modelling and ER Diagrams A way to make sense out of large collections of information.
Waseda Univ Nakajima Lab Interaction Group Computer-supported knowledge sharing in co-located environments Yasufumi Hirakawa, Harumi Mase, Eiji Tokunaga.
Automated Creation of a Forms- based Database Query Interface Magesh Jayapandian H.V. Jagadish Univ. of Michigan VLDB
Sign in to view the site In Internet Explorer go to The password is: brothers Now.
MediaServer:1 Device Template Version 1.01 Date: June 25, 2002 For UPnP™ Version 1.0 Status: Standardized DCP File from: MediaServer1.0.pdf Author: John.
July 1, 2008 Oley Valley School District. 8:00-8:15Registration/Introductions 8:15-8:30What is Discovery Education? 8:30-8:45Logging In/Setting up Accounts.
How To Download Music Legally and Free By Mahmud Fagge.
Project 6 Advanced File and Web Searching. 2 CHAPTER OBJECTIVES  Begin a new file or folder search, save a search, and find a file using a saved search.
Page 1 Alliver™ Page 2 Scenario Users Contents Properties Contexts Tags Users Context Listener Set of contents Service Reasoner GPS Navigator.
Place Profile Picture Here facebook Name of Mathematician current status WallPhotosFlairBoxes Name of Mathematician Logout View photos of “Mathematician”
Name insert text View photos of (5) Send a message Poke message Wall InfoPhotosBoxes Write something… Share Information : Birthday: Insert text here. Political:
Fakebook NAME of person is write their new status here………. WallPhotosFlairBoxesPerson’s Name HereLogout View photos of _______ (# of pics) Send _______.
Inserting Phone Albums (pg 3-7) & Compressing Pictures (pg 8-12) in PowerPoint Created by Josh Ziegler.
Christoph F. Eick University of Houston Organization 1. What are Ontologies? 2. What are they good for? 3. Ontologies and.
Vers national spatial data infrastructure training program What is Metadata? Introduction to Metadata An overview of geospatial metadata, presentation.
The Semantic Logger: Supporting Service Building from Personal Context Mischa M Tuffield et al. Intelligence, Agents, Multimedia Group University of Southampton.
WEB 2.0 PATTERNS Carolina Marin. Content  Introduction  The Participation-Collaboration Pattern  The Collaborative Tagging Pattern.
Picasa 2 and Picasa Web Album By: Alex Anderson JR Weis.
The RDF meta model Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations of XML compared.
Issues in Ontology-based Information integration By Zhan Cui, Dean Jones and Paul O’Brien.
The Complete Training/Knowledge Guide. Session 8: Camera and Multimedia  Taking Pictures with Camera  Recording Videos with Camcorder  Adjusting the.
Application Ontology Manager for Hydra IST Ján Hreňo Martin Sarnovský Peter Kostelník TU Košice.
Extending the MDR for Semantic Web November 20, 2008 SC32/WG32 Interim Meeting Vilamoura, Portugal - Procedure for the Specification of Web Ontology -
Windows Movie Maker And iMovie What is Windows Movie Maker: Windows movie maker is a video creating and editing software application included in Microsoft.
EbXML Registry and Repository Dept of Computer Engineering Khon Kaen University.
Do This file can be found at
A System for Automatic Personalized Tracking of Scientific Literature on the Web Tzachi Perlstein Yael Nir.
Exploiting Contextual Information from Event Logs for Personalized Recommendation ICIS2010 Intelligent Database Systems Lab. School of Computer Science.
Semantic Data Extraction for B2B Integration Syntactic-to-Semantic Middleware Bruno Silva 1, Jorge Cardoso 2 1 2
Context-Awareness based on Lifelog Sangkeun Lee Intelligent Database Systems Lab. Seoul National University.
Instance Discovery and Schema Matching With Applications to Biological Deep Web Data Integration Tantan Liu, Fan Wang, Gagan Agrawal {liut, wangfa,
David Robb 10/14/08 Discovery Streaming. From the Home Page, you can search for digital media by keyword, subject, grade level, or curriculum standards.
Flakebook PROFILE NAME is (replace with status) PROFILE NAMELogout View photos of _____ Send _______ a message Poke Wall InfoPhotosVideos Write something…
Fakebook PROFILE NAME is (replace with status) PROFILE NAMELogout View photos of _____ Send _______ a message Poke Wall InfoPhotosVideos Write something…
Database Environment Chapter 2. The Three-Level ANSI-SPARC Architecture External Level Conceptual Level Internal Level Physical Data.
The whole world in the palm of your hand… Daniel A. Smith Alisdair Owens Alistair Russell Max Wilson Daniel A. Smith Alisdair Owens Alistair Russell Max.
Introducing Scratch Learning resources for the implementation of the scenario
Facebook Celebrity is (status) WallPhotosCelebrityLogout View photos of Celebrity (#) Send Celebrity a message Poke message Wall InfoPhotos Write something…
Slide 1 © 2016, Lera Technologies. All Rights Reserved. Oracle Data Integrator By Lera Technologies.
Digital Image Annotation Tool. INTRODUCTION Incorporation of digital media types Unstructured digital data Portal for managing annotations and tracking.
  Computer Fundamentals Training   Windows 8 Intermediate.
Cloud based linked data platform for Structural Engineering Experiment
Introduction to mobile app development Module 2 – Getting started with apps and App Studio Lance McCarthy.
[Character name] is currently [fill in activity].
Name insert text Name insert wall update Name insert wall update
Name insert text Name insert wall update Name insert wall update
facebook Status Wall Photos Flair Boxes John F. Kennedy Logout Post
Houston Business Locator
Database Design Hacettepe University
Name of Photographer Setting the Scene Process Context
Network Controllable MP3 Player
Task 3. Imagine that these photos from your photo album
fakebook Profile Name Search Profile Name | Home | Update Info
9/8/ :03 PM © 2006 Microsoft Corporation. All rights reserved.
Presentation transcript:

LifeLogOn: Log on to Your Lifelog Ontology! Introduction & Demonstration Sangkeun Lee, Gihyun Gong, Sang-goo Lee Intelligent Database Systems Lab Seoul National University

Introduction

Motivation If we can integrate currently available logs from different devices and create semantic relationships among logs, then it can be a practical starting point of realizing lifelogging... …

We already have many types of available logs..., but they are independent LifeLogOn creates semantic relationships among log items Idea Music Logs Movie Logs GPS Logs Phone Call Logs History Web History Schedules Music Logs Movie Logs GPS LogsPhone Call Logs HistorySchedules Sematnic Relationships LifeLog On

LifeLogOn Overview Gives a simple and effective way of integrating heterogeneous logs gathered from many different devices Transforms relational log data and metadata into Lifelog Instance-level Ontology and stores in Lifelog Knowledge Base(LKB) Entity Attribute Event Entity Role Identifier Domain

LifeLogOn Overview What can we use it for? You can create your own lifelog ontology without understanding any ontology languages You can use LifeLogOn when you want to ✓ Find a song you listened at your birthday party and but only know the filename of the photos at the party ✓ Find photos that you took when you are talking with your friend on the phone, saying "It's so beautiful here~!" ✓ Find any events and entities those you know their context information such as time, location,... ✓... even more

Demonstration

✓ We setup LifeLogOn on our server: ✓ For the demo purpose, we have generated ✓ 50 digital camera logs ✓ 50 histories ✓ 20 music logs ✓ 10 phone call logs ✓ 17 schedule items ✓ 100 music metadata ✓ 3 users Demo Setup

Overall Process

Part I. Ontology Creation

Lifelog Ontology Schema Definition Define Domains Define Entities & Attributes Define Events Create Domain - Entity Relationships Create Domain - Event Relationships Music Entity Language Track Name Album Name Artist Playtime Play User Date Time Location Take Photo Digital Camera Photo Entity File Name Resolution

Mapping Source Data Schema to Lifelog Ontology Schema Mapping Log data to Lifelog Ontology Schema Mapping Metadata to Lifelog Ontology Schema

Generating Lifelog Ontology Instances Choose a Log Data Mapping Profile Choose a Metadata Mapping Profile Click ‘Instantiation’

Part II. Use Case Scenarios

Use Case I: Finding a song that you don’t remember Find a song you listened at your birthday party and but only know the filename of the photo that is taken at the party The filename is ‘DSC_2128.JPG’ Try below Type ‘DSC_2128’ in the keyword search box Browse Ontology, following 'TakePhoto#467928' - '2009/07/23' - 'MusicPlay#468016' - 'Lazy Rhapsody' You've found the song title! and even artist, album names!

Use Case II: Finding a photo that you took when you were talking on the phone with your friend Find a picture that you took when you were talking on the phone with your friend, saying ‘It’s so beautiful here~!’ Now, you want to show the picture to your friends But you forgot the date, time,.... You only remember your friends cellphone number The friend’s cellphone number is ‘ ’ Try below Type ‘ ’ in the keyword search box Browse Ontology, following 'PhoneCall#465893' - '2009/01/04' - 'TakePhoto#467929' - 'DSC_4204.JPG' You've found the filename! - 'DSC_4204.JPG'