Now showing items 1-10 of 21
Pointer Swizzling: Unterbrechung erwünscht!
Vortragsfolien eines auf dem SAP ABAP-Jahrestreffen 20.-22.9.1995 in Ottrott/Elsaß gehaltenen Vortrags. - Zusammenfassung: Unter Pointer Swizzling versteht man eine Technik, persistente Zeiger in Datenbeständen zur Laufzeit so geschickt durch Hauptspeicherzeiger zu ersetzen, dass schnelles Durchlaufen komplexer Objektstrukturen möglich wird. Den Begriff umgibt ein Hauch von „Magie“, vielleicht auch wegen der Geheimniskrämerei, mit der eine Firma diese Technik in ihrem Datenbankprodukt umgibt. Der Vortrag soll ...
Concept exploration - a tool for creating and exploring conceptual hierarchies
Concept exploration is a knowledge acquisition tool for interactively exploring the hierarchical structure of finitely generated lattices. Applications comprise the support of knowledge engineers by constructing a type lattice for conceptual graphs, and the exploration of large formal contexts in formal concept analysis.
Exploration tools in formal concept analysis
The development of conceptual knowledge systems specifically requests knowledge acquisition tools within the framework of formal concept analysis. In this paper, the existing tools are presented, and furhter developments are discussed.
Attribute exploration with background implications and exceptions
Implications between attributes can represent knowledge about objects in a specified context. This knowledge representation is especially useful when it is not possible to list all specified objects. Attribute exploration is a tool of formal concept analysis that supports the acquisition of this knowledge. For a specified context this interactive procedure determines a miminal list of valid implications between attributes of this context together with a list of objects which are counterexamples for all implications ...
Conceptual structures represented by conceptual graphs and formal concept analysis
Conceptual Graphs and Formal Concept Analysis have in common basic concerns: the focus on conceptual structures, the use of diagrams for supporting communication, the orientation by Peirce's Pragmatism, and the aim of representing and processing knowledge. These concerns open rich possibilities of interplay and integration. We discuss the philosophical foundations of both disciplines, and analyze their specific qualities. Based on this analysis, we discuss some possible approaches of interplay and integration.
Acquiring expert knowledge for the design of conceptual information systems
Conceptual Information Systems unfold the conceptual structure of data stored in relational databases. In the design phase of the system, conceptual hierarchies have to be created which describe different aspects of the data. In this paper, we describe two principal ways of designing such conceptual hierarchies, data driven design and theory driven design and discuss advantages and drawbacks. The central part of the paper shows how Attribute Exploration, a knowledge acquisition tool developped by B. Ganter can be ...
Dual retrieval in conceptual information systems
Conceptual Information Systems provide a multi-dimensional conceptually structured view on data stored in relational databases. On restricting the expressiveness of the retrieval language, they allow the visualization of sets of realted queries in conceptual hierarchies, hence supporting the search of something one does not have a precise description, but only a vague idea of. Information Retrieval is considered as the process of finding specific objects (documents etc.) out of a large set of objects which fit to ...
Numerical aspects in the data model of conceptual information systems
While most data analysis and decision support tools use numerical aspects of the data, Conceptual Information Systems focus on their conceptual structure. This paper discusses how both approaches can be combined.