Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Aspects: extending objects to support multiple, independent roles
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
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OOPSLA '92 conference proceedings on Object-oriented programming systems, languages, and applications
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SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
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SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
A query language and optimization techniques for unstructured data
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
An Object Data Model with Roles
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
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VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
W3QS: A Query System for the World-Wide Web
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VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Flexible Relations - Operational Support of Variant Relational Structures
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
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SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management
A Method of Constructing Dynamic Schema Representing the Structure of Semistructured Data
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
Graph-based data model for the content representation of multimedia data
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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This paper proposes a data model for a scientific database, Scientific applications require the DBMS support of the discovery process. Un-structured or semi-structured scientific data is required to be stored into databases, and manipulated as structured data. To meet these requirements, the proposed data model has the following features. It is based on the concept of sets in order that a database has flexible structure, a perspective of an object is represented with the subset of the object, and a collection of objects are naturally represented. A data value is the most principal element for expressing polymorphism, and sharing data flexibly. A preliminary database is adopted in order to store an un-structured or semi-structured data without any definition. The information of data called shape, which varies according to creating or updating of data, is introduced to query on a database presented here as on ordinary ones. We present the application of the model to the archeological data in order to demonstrate its advantages.