TEMPOS: A Platform for Developing Temporal Applications on Top of Object DBMS

This paper presents TEMPOS: a set of models and languages supporting the manipulation of temporal data on top of object DBMS. The proposed models exploit object-oriented technology to meet some important, yet traditionally neglected design criteria related to legacy code migration and representation independence. Two complementary ways for accessing temporal data are offered: a query language and a visual browser. The query language, namely TempOQL, is an extension of OQL supporting the manipulation of histories regardless of their representations, through fully composable functional operators. The visual browser offers operators that facilitate several time-related interactive navigation tasks, such as studying a snapshot of a collection of objects at a given instant, or detecting and examining changes within temporal attributes and relationships. TEMPOS models and languages have been formalized both at the syntactical and the semantical level and have been implemented on top of an object DBMS. The suitability of the proposals with regard to applications' requirements has been validated through concrete case studies

Datatype Laws Without Signatures

Using the well-known categorical notion of `functor' one may define the concept of datatype (algebra) without being forced to introduce a signature, that is, names and typings for the individual sorts (types) and operations involved. This has proved to be advantageous for those theory developments where one is not interested in the syntactic appearance of an algebra. The categorical notion of `transformer' developed in this paper allows the same approach to laws: without using signatures one can define the concept of law for datatypes (lawful algebras), and investigate the equational specification of datatypes in a syntax-free way. A transformer is a special kind of functor and also a natural transformation on the level of dialgebras. Transformers are quite expressive, satisfy several closure properties, and are related to naturality and Wadler's Theorems For Free. In fact, any colimit is an initial lawful algebra

A case study in combining formal verification and model-driven engineering

International audienceFormal methods are increasingly used in software engineering. They offer a formal frame that guarentees the correctness of developments. However, they use complex notations that might be difficult to understand for unaccustomed users. It thus becomes interesting to formally specify the core components of a language, implement a provably correct development, and manipulate its components in a graphical/ textual editor. This paper constitutes a first step towards using Model Driven Engineering (MDE) technology in an interactive proof development. It presents a transformation process from functional data structures, commonly used in proof assistants, to Ecore Models. The transformation is based on an MDE methodology. The resulting meta-models are used to generate graphical or textual editors. We will take an example to illustrate our approach: a simple domain specific language. This guiding example is a Java-like language enriched with assertions

Doctor of Philosophy

dissertationDetailed clinical models (DCMs) are the basis for retaining computable meaning when data are exchanged between heterogeneous computer systems. DCMs are also the basis for shared computable meaning when clinical data are referenced in decision support logic, and they provide a basis for data consistency in a longitudinal electronic medical record. Intermountain Healthcare has a long history in the design and evolution of these models, beginning with PAL (PTXT Application Language) and then the Clinical Event Model, which was developed in partnership with 3M. After the partnership between Intermountain and 3M dissolved, Intermountain decided to design a next-generation architecture for DCMs. The aim of this research is to develop a detailed clinical model architecture that meets the needs of Intermountain Healthcare and other healthcare organizations. The approach was as follows: 1. An updated version of the Clinical Event Model was created using XML Schema as a formalism to describe models. 2. In response to problems with XML Schema, The Clinical Element Model was designed and created using Clinical Element Modeling Language as a formalism to describe models. 3. To verify that our model met the needs of Intermountain Healthcare and others, a desiderata for Detailed Clinical Models was developed. 4. The Clinical Element Model is then critiqued using the desiderata as a guide, and suggestions for further refinements to the Clinical Element Model are described

Actor Network Procedures as Psi-calculi for Security Ceremonies

The actor network procedures of Pavlovic and Meadows are a recent graphical formalism developed for describing security ceremonies and for reasoning about their security properties. The present work studies the relations of the actor network procedures (ANP) to the recent psi-calculi framework. Psi-calculi is a parametric formalism where calculi like spi- or applied-pi are found as instances. Psi-calculi are operational and largely non-graphical, but have strong foundation based on the theory of nominal sets and process algebras. One purpose of the present work is to give a semantics to ANP through psi-calculi. Another aim was to give a graphical language for a psi-calculus instance for security ceremonies. At the same time, this work provides more insight into the details of the ANPs formalization and the graphical representation.Comment: In Proceedings GraMSec 2014, arXiv:1404.163

Ontology of core data mining entities

In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application layer. It provides a representational framework for the description of mining structured data, and in addition provides taxonomies of datasets, data mining tasks, generalizations, data mining algorithms and constraints, based on the type of data. OntoDM-core is designed to support a wide range of applications/use cases, such as semantic annotation of data mining algorithms, datasets and results; annotation of QSAR studies in the context of drug discovery investigations; and disambiguation of terms in text mining. The ontology has been thoroughly assessed following the practices in ontology engineering, is fully interoperable with many domain resources and is easy to extend