We present a detailed structural study of peptide derivatives of 1'-aminoferrocene-1-carboxylic acid (ferrocene amino acid, Fca), one of the simplest organometallic amino acids. Fca was incorporated into di- to pentapeptides with D- and L-alanine residues attached to either the carboxy or amino group, or to both. Crystallographic and spectroscopic studies (circular dicroism (CD), IR, and NMR) o...

In this paper, we present a methodology based on formal concept analysis (FCA) for the information system model verification. We show that FCA can be useful for understanding conceptual model topology and it can be used to improve the structure of the conceptual model. IBM's Information Framework (IFW) Financial Services Data Model (FSDM) has been used for the present research. By using FSDM, w...

This paper shows how the use of Galois lattices and formal concept analysis (FCA) can support CBR application designers, in the task of discovering knowledge embedded in the cases. FCA applied on a case library provides an internal sight of the conceptual structure and allows ®nding patterns, regularities and exceptions among the cases. Moreover, it extracts certain dependence rules between the...

This paper revisits the lattice-based thesaurus models which Margaret Masterman used for machine translation in the 1950’s and 60’s. Masterman’s notions are mapped onto modern, Formal Concept Analysis (FCA) terminology and three of her thesaurus algorithms are formalised with FCA methods. The impact of the historical and social situatedness of Roget’s Thesaurus on such algorithms is considered....

In phylogenetic analysis, median networks have been proposed as an improvement over tree representations. This paper argues that concept lattices represent a further improvement over median networks because FCA provides a detailed formal description and there are a number of existing software solutions for creating lattices. The purpose of this paper is to raise awareness in the FCA community f...

The relationship between relational databases and formal concept analysis (FCA) has been the topic of several papers in the past. This paper intends to extend some of the ideas presented in the previous papers by analysing the relationship between FCA and two central notions of relational databases: database schemata and normalforms. An object-relational algebra is suggested in this paper as a ...

Formal Concept Analysis "FCA" is a data analysis method which enables to discover hidden knowledge existing in data. A kind of hidden knowledge extracted from data is association rules. Different quality measures were reported in the literature to extract only relevant association rules. Given a dataset, the choice of a good quality measure remains a challenging task for a user. Given a quality...

In this paper, we are interested in the analysis of sequential data and we propose an original framework based on Formal Concept Analysis (FCA). For that, we introduce sequential pattern structures, an original specification of pattern structures for dealing with sequential data. Pattern structures are used in FCA for dealing with complex data such as intervals or graphs. Here they are adapted ...

The description logic EL has been used to support ontology design in various domains, and especially in biology and medecine. EL is known for its efficient reasoning and query answering capabilities. By contrast, ontology design and query answering can be supported and guided within an FCA framework. Accordingly, in this paper, we propose a formal transformation of ELI (an extension of EL with ...

This article presents a general approach for employing lesion analysis to address the fundamental challenge of localizing functions in a neural system. We describe functional contribution analysis (FCA), which assigns contribution values to the elements of the network such that the ability to predict the network's performance in response to multilesions is maximized. The approach is thoroughly ...