A framework for information systems architecture
IBM Systems Journal
Building and managing the Meta Data Repository: A Full Life-Cycle Guide
Building and managing the Meta Data Repository: A Full Life-Cycle Guide
Metadata management: past, present and future
Decision Support Systems
Information intelligence: metadata for information discovery, access, and integration
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
An efficient SQL-based RDF querying scheme
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Communications of the ACM - Next-generation cyber forensics
Business Metadata for the DataWarehouse
EDOCW '06 Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops
Scalable semantic web data management using vertical partitioning
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Effective and efficient semantic web data management over DB2
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Model-driven ontology engineering
Journal on Data Semantics VII
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Metadata management is an important aspect of today's enterprise information systems. Metadata management systems are growing from toolspecific repositories to enterprise-wide metadata repositories. In this context, one challenge is the management of the evolving metadata whose schema or meta-model itself may evolve, e.g., dynamically-added properties, which are often hard to predict upfront at the initial meta-model design time; another challenge is to organize the metadata by semantically-rich classification schemes. In this paper, we present a practical system which provides support for users to dynamically manage semantically-rich properties and classifications in the IBM WebSphere Metadata Server (MDS) by integrating an OWL ontology repository. To enable the smooth acceptance of Semantic Web technologies for developers of commercial software which must run 24 hours/day, 7 days/week, the system is designed to consist of integrated modeling paradigms, with an integrated query language and runtime repository. Specifically, we propose the modeling of dynamic properties on structured metadata as OWL properties and the modeling of classification schemes as OWL ontologies for metadata classification. We present a natural extension to OQL (Object Query Language)-like query language to embrace dynamic properties and metadata classification. We also observe that hybrid storage, i.e., horizontal tables for structured metadata and vertical triple tables for dynamic properties and classification, is suitable for the storage and query processing of co-existing structured metadata and semantic metadata. We believe that our study and experience are not specific to MDS, but are valuable for the community trying to apply Semantic Web technologies to the structured data management area.