L'ingénierie des documents d'affaires dans le cadre du web sémantique

Dans cette thèse, nous présentons les problèmes d’échange de documents d'affaires et proposons une méthode pour y remédier. Nous proposons une méthodologie pour adapter les standards d’affaires basés sur XML aux technologies du Web sémantique en utilisant la transformation des documents définis en DTD ou XML Schema vers une représentation ontologique en OWL 2. Ensuite, nous proposons une approche basée sur l'analyse formelle de concept pour regrouper les classes de l'ontologie partageant une certaine sémantique dans le but d'améliorer la qualité, la lisibilité et la représentation de l'ontologie. Enfin, nous proposons l’alignement d'ontologies pour déterminer les liens sémantiques entre les ontologies d'affaires hétérogènes générés par le processus de transformation pour aider les entreprises à communiquer fructueusement.

L’entrepreneur hacker. L’ethos de travail des entrepreneurs web.

Ce mémoire de maîtrise porte sur l’ethos de travail des entrepreneurs qui oeuvrent dans le domaine du web. À l’ère du travail immatériel, de nouvelles façons d’envisager les pratiques corporatives se mettent en place. Confondant loisir et travail, l’attitude antibureaucratique des chefs d’entreprises web met de l’avant la tension qui existe entre l’éthique hacker et l’esprit capitaliste. Un nouveau type d’entrepreneur voit ainsi le jour: l’entrepreneur hacker. Analysant les valeurs et les motivations de huit entrepreneurs montréalais, cette recherche remet en perspective l’aspiration au profit, démontre comment l’éthique hacker est performée en entreprise et pose un regard critique sur les reconfigurations du travail dans le contexte du capitalisme cognitif. Il en ressort que les valeurs de l’éthique hacker sont récupérées par la logique capitaliste à titre de nouveau système de justification. Le travail s’immisce ainsi dans toutes les sphères de la vie de l’entrepreneur web, ce dernier investissant autant son capital humain que son capital monétaire.

An Alternative Approach To Computer System Security Monitoring And Enhancement Through System Call Sequence Analysis

Modern computer systems are plagued with stability and security problems: applications lose data, web servers are hacked, and systems crash under heavy load. Many of these problems or anomalies arise from rare program behavior caused by attacks or errors. A substantial percentage of the web-based attacks are due to buffer overflows. Many methods have been devised to detect and prevent anomalous situations that arise from buffer overflows. The current state-of-art of anomaly detection systems is relatively primitive and mainly depend on static code checking to take care of buffer overflow attacks. For protection, Stack Guards and I-leap Guards are also used in wide varieties.This dissertation proposes an anomaly detection system, based on frequencies of system calls in the system call trace. System call traces represented as frequency sequences are profiled using sequence sets. A sequence set is identified by the starting sequence and frequencies of specific system calls. The deviations of the current input sequence from the corresponding normal profile in the frequency pattern of system calls is computed and expressed as an anomaly score. A simple Bayesian model is used for an accurate detection.Experimental results are reported which show that frequency of system calls represented using sequence sets, captures the normal behavior of programs under normal conditions of usage. This captured behavior allows the system to detect anomalies with a low rate of false positives. Data are presented which show that Bayesian Network on frequency variations responds effectively to induced buffer overflows. It can also help administrators to detect deviations in program flow introduced due to errors.

Adoption of Koha Open Source Software in Libraries: a Web Based Study

Since last few years open source integrated library systems gaining attention of library and information science professionals. This paper tries to identify the extent of adoption of Koha, an open source ILS in libraries around the world through a Web based study. The study found that Koha adoption in libraries is still at infancy

Web Service Composition Systems for the Web Service Challenge - A Detailed Review

This report gives a detailed discussion on the system, algorithms, and techniques that we have applied in order to solve the Web Service Challenges (WSC) of the years 2006 and 2007. These international contests are focused on semantic web service composition. In each challenge of the contests, a repository of web services is given. The input and output parameters of the services in the repository are annotated with semantic concepts. A query to a semantic composition engine contains a set of available input concepts and a set of wanted output concepts. In order to employ an offered service for a requested role, the concepts of the input parameters of the offered operations must be more general than requested (contravariance). In contrast, the concepts of the output parameters of the offered service must be more specific than requested (covariance). The engine should respond to a query by providing a valid composition as fast as possible. We discuss three different methods for web service composition: an uninformed search in form of an IDDFS algorithm, a greedy informed search based on heuristic functions, and a multi-objective genetic algorithm.

BibSonomy: a social bookmark and publication sharing system

Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify a formal model for folksonomies and briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references in a kind of personal library.

Managing Quality Properties of Web Service Compositions

Web services from different partners can be combined to applications that realize a more complex business goal. Such applications built as Web service compositions define how interactions between Web services take place in order to implement the business logic. Web service compositions not only have to provide the desired functionality but also have to comply with certain Quality of Service (QoS) levels. Maximizing the users' satisfaction, also reflected as Quality of Experience (QoE), is a primary goal to be achieved in a Service-Oriented Architecture (SOA). Unfortunately, in a dynamic environment like SOA unforeseen situations might appear like services not being available or not responding in the desired time frame. In such situations, appropriate actions need to be triggered in order to avoid the violation of QoS and QoE constraints. In this thesis, proper solutions are developed to manage Web services and Web service compositions with regard to QoS and QoE requirements. The Business Process Rules Language (BPRules) was developed to manage Web service compositions when undesired QoS or QoE values are detected. BPRules provides a rich set of management actions that may be triggered for controlling the service composition and for improving its quality behavior. Regarding the quality properties, BPRules allows to distinguish between the QoS values as they are promised by the service providers, QoE values that were assigned by end-users, the monitored QoS as measured by our BPR framework, and the predicted QoS and QoE values. BPRules facilitates the specification of certain user groups characterized by different context properties and allows triggering a personalized, context-aware service selection tailored for the specified user groups. In a service market where a multitude of services with the same functionality and different quality values are available, the right services need to be selected for realizing the service composition. We developed new and efficient heuristic algorithms that are applied to choose high quality services for the composition. BPRules offers the possibility to integrate multiple service selection algorithms. The selection algorithms are applicable also for non-linear objective functions and constraints. The BPR framework includes new approaches for context-aware service selection and quality property predictions. We consider the location information of users and services as context dimension for the prediction of response time and throughput. The BPR framework combines all new features and contributions to a comprehensive management solution. Furthermore, it facilitates flexible monitoring of QoS properties without having to modify the description of the service composition. We show how the different modules of the BPR framework work together in order to execute the management rules. We evaluate how our selection algorithms outperform a genetic algorithm from related research. The evaluation reveals how context data can be used for a personalized prediction of response time and throughput.

The Audiomomma Music Recommendation System

We design and implement a system that recommends musicians to listeners. The basic idea is to keep track of what artists a user listens to, to find other users with similar tastes, and to recommend other artists that these similar listeners enjoy. The system utilizes a client-server architecture, a web-based interface, and an SQL database to store and process information. We describe Audiomomma-0.3, a proof-of-concept implementation of the above ideas.

Sistema de información geográfica para web con informaciones espaciales (geográficas) de output y input para expediciones

This project is a Web Geographic Information System built on an Open Source geographic structure like MapServer (Minnesota University) and PostgreSQL/PostGIS (object relational database management system). The study case is a web site for expeditions in a specific Brazilian region

Adaptive intelligent agent approach to guide the web navigation on the PLAN-G distance learning platform

Hypermedia systems based on the Web for open distance education are becoming increasingly popular as tools for user-driven access learning information. Adaptive hypermedia is a new direction in research within the area of user-adaptive systems, to increase its functionality by making it personalized [Eklu 961. This paper sketches a general agents architecture to include navigational adaptability and user-friendly processes which would guide and accompany the student during hislher learning on the PLAN-G hypermedia system (New Generation Telematics Platform to Support Open and Distance Learning), with the aid of computer networks and specifically WWW technology [Marz 98-1] [Marz 98-2]. The PLAN-G actual prototype is successfully used with some informatics courses (the current version has no agents yet). The propased multi-agent system, contains two different types of adaptive autonomous software agents: Personal Digital Agents {Interface), to interacl directly with the student when necessary; and Information Agents (Intermediaries), to filtrate and discover information to learn and to adapt navigation space to a specific student

Recommender System Based on Consumer Product Reviews

Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras

Curriculum sequencing for an e-learning system based on learning styles

This work shows the use of adaptation techniques involved in an e-learning system that considers students' learning styles and students' knowledge states. The mentioned e-learning system is built on a multiagent framework designed to examine opportunities to improve the teaching and to motivate the students to learn what they want in a user-friendly and assisted environment

Individuals, Behaviour Change and the Web

A psychologist's description of the Web as an effective channel for inducing and promoting changes of behaviour in individuals. Demonstrates an experimental system called "LifeGuide".

A Brief History of the Web

The Web is now so ingrained in our lives that it is easy to forget that it is less than twenty years old. But the History of Web goes back much further, to the pioneering technologists who built the first hypertext systems and the men and women before them who imagined great libraries of interconnected information that would augment human intellect and drive civilization forward. In this lecture we will explore the pre-digital origins of the Web, look at how it developed into the mass communication system we have today, and speculate on the next stages of its evolution in the context of Web Science and Social Media.

Toward 2^W beyond Web 2.0

From its inception as a global hypertext system, the Web has evolved into a universal platform for deploying loosely coupled distributed applications. 2^W is a result of the exponentially growing Web building on itself to move from a Web of content to a Web of applications.