Software Engineering: Problems and Perspectives
Computer - IEEE Centennial: the state of computing
Computer
A homogeneous relational model and query languages for temporal databases
ACM Transactions on Database Systems (TODS)
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Creating products customers demand
Communications of the ACM
Intelligent database design using the unifying semantic model
Information and Management
Theoretical foundations for conceptual modelling in information systems development
Decision Support Systems - Special issue on WITS '92
Client-server computing in mobile environments
ACM Computing Surveys (CSUR)
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
An ontological analysis of the relationship construct in conceptual modeling
ACM Transactions on Database Systems (TODS)
ACM Transactions on Database Systems (TODS)
Database Systems Concepts
Supporting User-Defined Granularities in a Spatiotemporal Conceptual Model
Annals of Mathematics and Artificial Intelligence
Conceptual Data Modeling for Spatiotemporal Applications
Geoinformatica
Efficiently Supporting Temporal Granularities
IEEE Transactions on Knowledge and Data Engineering
Analyzing Mobile Transaction Supports for DBMS
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Panel: Data Semantics: what, where and how?
DS-6 Proceedings of the Sixth IFIP TC-2 Working Conference on Data Semantics: Database Applications Semantics
The formal semantics of the timeER model
APCCM '06 Proceedings of the 3rd Asia-Pacific conference on Conceptual modelling - Volume 53
Weaving temporal and reliability aspects into a schema tapestry
Data & Knowledge Engineering
A conceptual view on trajectories
Data & Knowledge Engineering
A conceptual spatial model supporting topologically-consistent multiple representations
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
An Ontology-Based Approach for the Semantic Modelling and Reasoning on Trajectories
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
Formal and conceptual modeling of spatio-temporal granularities
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Understanding the semantics of data provenance to support active conceptual modeling
Active conceptual modeling of learning
Spatio-temporal and multi-representation modeling: a contribution to active conceptual modeling
Active conceptual modeling of learning
Entity-relationship and object-oriented formalisms for modeling spatial environmental data
Environmental Modelling & Software
Schema-mediated exchange of temporal XML data
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Modeling Spatial and Temporal Set-Based Constraints During Conceptual Database Design
Information Systems Research
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While many real-world applications need to organize data based on space (e.g., geology, geomarketing, environmental modeling) and/or time (e.g., accounting, inventory management, personnel management), existing conventional conceptual models do not provide a straightforward mechanism to explicitly capture the associated spatial and temporal semantics. As a result, it is left to database designers to discover, design, and implement驴on an ad hoc basis驴the temporal and spatial concepts that they need. We propose an annotation-based approach that allows a database designer to focus first on nontemporal and nongeospatial aspects (i.e., "what驴) of the application and, subsequently, augment the conceptual schema with geospatiotemporal annotations (i.e., "when驴 and "where驴). Via annotations, we enable a supplementary level of abstraction that succinctly encapsulates the geospatiotemporal data semantics and naturally extends the semantics of a conventional conceptual model. An overarching assumption in conceptual modeling has always been that expressiveness and formality need to be balanced with simplicity. We posit that our formally defined annotation-based approach is not only expressive, but also straightforward to understand and implement.