This chapter presents a conceptual modeling language for spatiotemporal applications that offers built-in support for capturing spatially referenced, time-varying information. More specifically, the well-known object-oriented Unified Modeling Language (UML) is extended to capture the semantics of spatiotemporal data. The extension, Extended Spatiotemporal UML, maintains language clarity and sim...

It is introduced a new concept: H-sets which generalises the notion of fuzzy sets and is based on the concept of hemilattice. Then, we extend the attribute-value conceptual spaces over hemilattices, which gives us a kind of H-set, and prove some of their properties .

Health-status classification systems that use preference-based approaches, including multi-attribute utility functions, are critically examined in this chapter. Five major issues are considered: an underlying conceptual framework; the definition of health status; choice of domains; relationships among the domains; and obtaining data on the quality of population health. (Related issues are discu...

A design class diagram (DOD) illustrates the specifications for software classes and interfaces (for example, Java interfaces) in an application. Typical information includes; ? classes, associations and attributes ? interfaces, with their operations and cons tants ? methods ? attribute type information ? navigability ? dependencies In contrast to conceptual classes in the Domain Model, design ...

Conceptual Integrity has been claimed to be the essence of high-quality software system design. On the other hand, it has been a rather elusive attribute of software systems, challenging various attempts of a clear-cut characterization. This paper evolves in this direction by two means: first, by analysis and clarification of open issues in architecture and abstraction terms; second, by pointin...

In database applications, the availability of a conceptual schema and semantics constitute invaluable leverage for improving the effectiveness, and sometimes the efficiency, of many tasks including query processing, keyword search and schema/data integration. The ObjectRelationship-Attribute model for Semi-Structured data (ORA-SS) model is a conceptual model intended to capture the semantics of...

We present a conceptual framework and a process model for feature extraction and iconic visualization. The features are regions of interest extracted from a data set. They are represented by attribute sets, which play a key role in the visualization process. These attribute sets are mapped to icons, or symbolic parametric objects, for visualization. The features provide a compact abstraction of...

Abstract In this paper we describe possible interpretation and reduction of fuzzy attributes in Generalized One-sided Concept Lattices (GOSCL). This type of concept lattices represent generalization of Formal Concept Analysis (FCA) suitable for analysis of data tables with different types of attributes. FCA as well as generalized one-sided concept lattices represent conceptual data mining metho...

Classical constraint handling in data processing systems is concerned with ensuring the integrity of the database. Constraints are usually based on attribute values in a domain, or on syntactic (structural) relationships between the number of values under one attribute related to one under another. In the area of medical informatics, and probably in other application areas, the classical types ...

One key characteristic of big data is variety. With massive and growing amounts of data existing in independent and heterogeneous (structured and unstructured) sources, assigning consistent data semantics, which is essential for making sense of data sources, is an increasingly important challenge. We use ontology and human cognitive principles (i.e., classification theory) to formally define th...