An Improved Design and Implementation of the Session-based SAMBO with Parallelization Techniques and MongoDB
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
The session-based SAMBO is an ontology alignment system involving MySQL to store matching results. Currently, SAMBO is able to align most ontologies within acceptable time. However, when it comes to large scale ontologies, SAMBO fails to reach the target. Thus, the main purpose of this thesis work is to improve the performance of SAMBO, especially in the case of matching large scale ontologies.
To reach the purpose, a comprehensive literature study and an investigation on two outstanding large scale ontology system are carried out with the aim of setting the improvement directions. A detailed investigation on the existing SAMBO is conducted to figure out in which aspects the system can be improved. Parallel matching process optimization and data management optimization are determined as the primary optimization goal of the thesis work. In the following, a few relevant techniques are studied and compared. Finally, an optimized design is proposed and implemented.
System testing results of the improved SAMBO show that both parallel matching process optimization and data management optimization contribute greatly to improve the performance of SAMBO. However the execution time of SAMBO to align large scale ontologies with database interaction is still unacceptable.
Place, publisher, year, edition, pages
2017. , p. 62
Keywords [en]
Ontology; Large scale ontology alignment; MongoDB; NoSQL database; Parallelization computing; SAMBO
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-141810ISRN: LiTH-IDA/ERASMUS-A--17/002--S EOAI: oai:DiVA.org:liu-141810DiVA, id: diva2:1147621
Subject / course
Computer Engineering
Presentation
Building D Conference Room A, Linköping University, Linköping (English)
Supervisors
Examiners
2017-10-062017-10-062018-01-13Bibliographically approved