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Incremental schema mapping
conference contribution
posted on 2023-05-23, 09:53 authored by Anam, S, Kim, YS, Liu, QSchema mapping that provides a unified view to the users is essential to manage schema heterogeneity among different sources. Schema mapping can be conducted by machine learning or by knowledge engineering approach. Machine learning approach needs training data set for building models, but usually it is very difficult to obtain training datasets for large datasets. In addition, it is very difficult to change the model by human knowledge. Knowledge engineering approach encodes human knowledge directly, such that the knowledge base can be constructed with limited data, but it needs time consuming knowledge acquisition. This research proposes an incremental schema mapping method that employs Ripple-Down Rules (RDR) with the censored production rules (CPR). Our experimental results show that RDR approach shows comparable performance with the machine learning approaches and RDR knowledge base can be expanded incrementally as the cases classified increase.
History
Publication title
Lecture Notes in Artificial Intelligence 8862: 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014) ProceedingsVolume
8863Editors
YS Kim, BH Kang, D RichardsPagination
69-83ISBN
978-3-319-13331-7Department/School
School of Information and Communication TechnologyPublisher
Springer International PublishingPlace of publication
SwitzerlandEvent title
2014 Pacific Rim Knowledge Acquisition Workshop (PKAW 2014)Event Venue
Gold Coast, AustraliaDate of Event (Start Date)
2014-12-01Date of Event (End Date)
2014-12-02Rights statement
Copyright 2014 Springer International Publishing SwitzerlandRepository Status
- Restricted