Title :
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
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;
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
DOI :
10.1109/APWeb.2010.55
