Abstract not found

While most data processing tools use numerical aspects of the data, conceptual data systems focus on their conceptual structure.

This paper introduces a tool for Conceptual Knowledge Processing with Google. The featured prototype, called FooCA, tries to combine the advantages of two research disciplines, Web Mining and Formal Concept Analysis (FCA).

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.

This paper introduces Temporal Concept Analysis (TCA) as the theory of temporal phenomena described with tools of Formal Concept Analysis (FCA). The basic notion in TCA is that of a Conceptual Time System introduced by the author [42,45] such that state spaces and phase spaces can be defined as concept lattices which clearly represent the meaning of states with respect to the chosen time description. In this paper two closely related types of conceptual time systems are introduced, namely 'conceptual time systems with parts' and 'conceptual time systems with actual objects'. The latter yields a generalization of classical systems with many similar subsystems or particles.

Abstract. The design and construction of navigation menus for websites have traditionally been performed manually according to the intuition of a web developer. This paper introduces a new approach, FcAWN (pronounced “fawn”) – Formal concept Analysis for Web Navigation – to assist in the design and generation of a coherent and logical navigation hierarchy for a set of web documents. We provide an algorithmic process for generating multi-layered menu models using FcAWN and demonstrate its feasibility with an experimental case study. Our study reveals a fundamental difference between the traditional tree-based menu structure and the lattice-based menu structure by FcAWN: a FcAWN-generated lattice structure is more general than a tree structure and yet is mathematically sound and uniquely suited for menu design and construction. FcAWN is the first mathematical principle for menu design and generation, providing a practical basis for human-computer interaction. 1

There are many people to whom I owe a debt of thanks for their support, for the completion of my thesis and supported me in science as well in privacy during this time. First, I would like to sincerely thank my advisor, Prof. Dr Erhard Hin-richs, under whose influence the work here was initiated during my fruit-ful stay in Germany. Without his continuous and invaluable support, this work could not have been completed. I would also like to thank Prof. Dr. Eschbach-Szabo for reading this thesis and offering constructive comments. Besides my advisors, I am deeply grateful to the rest of my thesis commit-tee: Frank Richter and Fritz Hamm, for their kindly support and interesting questions. A special thanks goes to Lothar Lemnitzer, who proofread the thesis carefully and gave insightful comments. I would like to thank my parents for their life-long love and support. Last but not least, I also owe a lot of thanks to my lovely wife Hsiao-Wen, my

Abstract. There are two major formalisms that are developed around concepts: (1) Formal Concept Analysis (FCA) by R. Wille and B. Ganter, and (2) Description Logic (DL) that goes back to the universal terminological logic by P.F. Patel-Schneider. It has been demonstrated that FCA constructs (upper and lower derivatives, formal concepts) are expressible in DL. Present paper demonstrates how to interpret (positive) DL concepts over concept lattices in a compatible manner. 1

Abstract—With the fast development of information technology, retailers are suffering from the excess of information. Too much information can be a problem. However, more information creates more opportunity. In retailing, information is the key issue to maximizing revenue. It is now hard to make timely or effective decisions and to the right content to the right place, at the right time and in the right form. This paper is about managing the information so that the user can gain more clear insight. It is about integrating and inventing methods and techniques. The Semantic Web will provide a foundation for such a solution. However, semantics only provide a way of mapping the content of a web to user defined annotations. Not many companies have fully utilized the power of Internet retailing due to the various technical obstacles have yet to be overcome. The existing research in e-retailing focuses only on the traditional retailing including direct and indirect retailing approaches. This paper suggests that applying association mining techniques can further improve the dealing of information overload in a web oriented retailing environment. Index terms—Semantic web, online retailing, data mining, formal concept, Protégé, triple store, Sparql. I I.

Abstract not found