The nested context model for hyperdocuments
HYPERTEXT '91 Proceedings of the third annual ACM conference on Hypertext
XML-based information mediation with MIX
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Entity-Relationship Modeling: Foundations of Database Technology
Entity-Relationship Modeling: Foundations of Database Technology
Database Management Systems
Bundles in Captivity: An Application of Superimposed Information
Proceedings of the 17th International Conference on Data Engineering
Many-Dimensional Schema Modeling
ADBIS '02 Proceedings of the 6th East European Conference on Advances in Databases and Information Systems
Superimposed Schematics: Introducing E-R Structure for In-Situ Information Selections
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
HDM2: Extending the E-R Approach to Hypermedia Application Design
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Putting integrated information in context: superimposing conceptual models with SPARCE
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
Fundamentals of Database Systems, Fourth Edition
Fundamentals of Database Systems, Fourth Edition
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Superimposed information (SI) refers to new information such as annotations and summaries overlaid on fragments of existing base information (BI) such as web pages and PDF documents. Each BI fragment is referenced using an encapsulated address called a mark. Based on the widespread applicability of SI and wide range of superimposed applications (SAs) that can be built, we consider here how to represent marks explicitly in a conceptual model for an SA. The goal of this work is to facilitate the development of SAs by making it easy to model SI (including the marks) and to exploit the middleware and query capability that we have developed for managing marks and interacting with the base applications. The contribution of this paper is a general-purpose framework to make marks explicit in a conceptual (ER) model. We present conventions to associate marks with entities, attributes, and relationships; and to represent that an attribute's value is the same as the excerpt obtained from a mark. We also provide procedures to automatically convert ER schemas expressed using our conventions to relational schemas, and show how a resulting relational schema supports SQL queries over the combination of SI, the associated marks and the excerpts associated with the marks.