A methodology for application design using active database technology

Issued as Status reports [nos. 1-5], Project C-36-X0

Outline of Fungi and fungus-like taxa

This article provides an outline of the classification of the kingdom Fungi (including fossil fungi. i.e. dispersed spores, mycelia, sporophores, mycorrhizas). We treat 19 phyla of fungi. These are Aphelidiomycota, Ascomycota, Basidiobolomycota, Basidiomycota, Blastocladiomycota, Calcarisporiellomycota, Caulochytriomycota, Chytridiomycota, Entomophthoromycota, Entorrhizomycota, Glomeromycota, Kickxellomycota, Monoblepharomycota, Mortierellomycota, Mucoromycota, Neocallimastigomycota, Olpidiomycota, Rozellomycota and Zoopagomycota. The placement of all fungal genera is provided at the class-, order- and family-level. The described number of species per genus is also given. Notes are provided of taxa for which recent changes or disagreements have been presented. Fungus-like taxa that were traditionally treated as fungi are also incorporated in this outline (i.e. Eumycetozoa, Dictyosteliomycetes, Ceratiomyxomycetes and Myxomycetes). Four new taxa are introduced: Amblyosporida ord. nov. Neopereziida ord. nov. and Ovavesiculida ord. nov. in Rozellomycota, and Protosporangiaceae fam. nov. in Dictyosteliomycetes. Two different classifications (in outline section and in discussion) are provided for Glomeromycota and Leotiomycetes based on recent studies. The phylogenetic reconstruction of a four-gene dataset (18S and 28S rRNA, RPB1, RPB2) of 433 taxa is presented, including all currently described orders of fungi

Modeling of database constraints in active databases

Issued as Final report, Project C-36-68

A Comparative Analysis of Methodologies for Database Schema Integration

One of the fundamental principles of the database approach is that a database allows a nonredundant, unified representation of all data managed in an organization. This is achieved only when methodologies are available to support integration across organizational and application boundaries. \ud \ud Methodologies for database design usually perform the design activity by separately producing several schemas, representing parts of the application, which are subsequently merged. Database schema integration is the activity of integrating the schemas of existing or proposed databases into a global, unified schema. The aim of the paper is to provide first a unifying framework for the problem of schema integration, then a comparative review of the work done thus far in this area. Such a framework, with the associated analysis of the existing approaches, provides a basis for identifying strengths and weaknesses of individual methodologies, as well as general guidelines for future improvements and extensions

Heterogeneous Databases: Inferring Relationships for Merging Component Schemas, and a Query Language

The need for accessing independently developed database management systems using a unified conceptual view has been well-recognized. View or schema integration is an important component of this problem of designing heterogeneous or federated database management systems. In this paper, we address the problems of: i) identification of relationships among relations grouped into a cluster, ii) checking the consistency of specified relationships, and iii) exhaustively deriving new relationships from the ones specified -- useful for merging relations from component databases into a global view relation. Specifically, five types of relationships (equal, contains, contained-in, overlap and disjoint) are considered. Merging of component schemas in a federated database environment can benefit substantially from the knowledge of the relationship between relations in a cluster. We present an algorithm to check the consistency of asserted relationships and to derive all possible relations..