OntLMS: An Ontology-Based Lifelog Management System

Author

Song, Inchul ; Haam, Deokmin ; Kim, Hangkyu ; Kim, Myoung Ho

Author_Institution

Dept. of Comput. Sci., KAIST, Daejeon, South Korea

fYear

2010

fDate

6-8 April 2010

Firstpage

341

Lastpage

343

Abstract

In this paper, we propose an ontology-based lifelog management system, called OntLMS, which is built by utilizing the existing lifelog management system based on the relational data model. We design ontology for modelling lifelog data and provide both one-time and incremental conversion methods that transform lifelog data in the relational database into ontology. Our system supports expressive, user-centric queries such as a structured query and a keyword query, as well as a visual query. This paper shares the lessons learned from our experience on lifelog management, data migration over different data models, and ontology design.

Keywords

ontologies (artificial intelligence); query processing; relational databases; data migration; incremental conversion method; keyword query; lifelog data modelling; one-time conversion method; ontology design; ontology-based lifelog management system; relational data model; relational database; structured query; user-centric query; visual query; Computer science; Conference management; Costs; Data models; File systems; Least squares approximation; Ontologies; Personal communication networks; Relational databases; Resource description framework; data migration; lifelog management system; ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Conference (APWEB), 2010 12th International Asia-Pacific

Conference_Location

Busan

Print_ISBN

978-1-7695-4012-2

Electronic_ISBN

978-1-4244-6600-9

Type

conf

DOI

10.1109/APWeb.2010.55

Filename

5474119