@inproceedings{5e0d02474b034e0b8fc7c6b84ee5ed28,
title = "A semantic web approach to heterogeneous metadata integration",
abstract = "Heterogeneous metadata integration is an issue in digital libraries. Mapping is often used for an integrated metadata access, but the implicit knowledge and relations embedded in metadata are ignored. This paper aims to present a semantic web approach to heterogeneous metadata integration of biodiversity repositories. First, implicit knowledge and relations in metadata are extracted out and transformed into a shared ontology with expression of RDF and OWL languages. Next the shared ontology plays an inter-lingua role in harmonizing heterogeneous metadata to achieve an ontology mapping with a unified view. Then the shared ontology is expressed by SWRL for inference query to offer in-depth semantic discovery. Finally four question answering oriented queries are employed to examine the feasibility of the shared ontology for heterogeneous metadata integration.",
keywords = "Digital libraries, Heterogeneous metadata, Information integration, Semantic web",
author = "Liao, \{Shu Hsien\} and Huang, \{Hong Chu\} and Chen, \{Ya Ning\}",
year = "2010",
doi = "10.1007/978-3-642-16693-8\_23",
language = "English",
isbn = "364216692X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "205--214",
booktitle = "Computational Collective Intelligence",
edition = "PART 1",
note = "2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 ; Conference date: 10-11-2010 Through 12-11-2010",
}