LifeLogOn : Log on to Your Lifelog Ontology!

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...

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

LifeLogOn Overview Domain Attribute Entity • 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) Attribute Attribute Entity Entity Role Role Role Entity Event Identifier Identifier Attribute Attribute Entity Entity Role Role Role Attribute Entity Identifier

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

Demo Setup • We setup LifeLogOn on our server: http://lifelogon.snu.ac.kr • For the demo purpose, we have generated • 50 digital camera logs • 50 e-mail histories • 20 music logs • 10 phone call logs • 17 schedule items • 100 music metadata • 3 users

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 Artist Playtime Language Location MusicEntity DigitalCamera AlbumName TrackName User Resolution TakePhoto Play PhotoEntity Date Time FileName

Mapping Source Data Schema toLifelog 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 tookwhen 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 ‘018-2144-8842’ • Try below • Type ‘018-2144-8842’ 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'

LifeLogOn : Log on to Your Lifelog Ontology!