The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Modeling XML applications with UML: practical e-business applications
Modeling XML applications with UML: practical e-business applications
System Architecture with XML
Modeling geological objects with the XML Schema
Computers & Geosciences
Modeling geological objects with the XML Schema
Computers & Geosciences
M-A model of agricultural remote sensing monitoring metadata based on grid environment
Mathematical and Computer Modelling: An International Journal
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Seismic information is commonly shared across networks, and stored in heterogeneous databases that are maintained by different and autonomous groups. Because the metadata of the seismic information is generally not structured, information loss commonly occurs when data is transmitted from one source to another. Minimizing such information loss and enhancing information interchange over the Web require construction of specific markup languages for each part of seismology. The sub-disciplinary data syntax and vocabularies allow construction of corresponding relational databases to store and interchange the structured data. Developing modular data structures and databases for each sub-discipline allows composition of new languages through reuse, and enables future extension of the vocabulary and maintenance of the knowledge base. In this paper, we show how to design the conceptual and logical models for a small set of seismology that deals with earthquake (EarthquakeML). We discuss the application of the UML to the design and mapping of the object model into W3 XML Schema and database. The emphasis is on designing components that can be reused across discipline, and reduce redundancies by developing type libraries. We show how to map the XML schema into a relational data model; and implement the EarthquakeDB with the Microsoft Access DBMS.