A Generic Approach and Framework for Managing Complex Information

Several application domains, such as healthcare, incorporate domain knowledge into their day-to-day activities to standardise and enhance their performance. Such incorporation produces complex information, which contains two main clusters (active and passive) of information that have internal connections between them. The active cluster determines the recommended procedure that should be taken as a reaction to specific situations. The passive cluster determines the information that describes these situations and other descriptive information plus the execution history of the complex information. In the healthcare domain, a medical patient plan is an example for complex information produced during the disease management activity from specific clinical guidelines. This thesis investigates the complex information management at an application domain level in order to support the day-to-day organization activities. In this thesis, a unified generic approach and framework, called SIM (Specification, Instantiation and Maintenance), have been developed for computerising the complex information management. The SIM approach aims at providing a conceptual model for the complex information at different abstraction levels (generic and entity-specific). In the SIM approach, the complex information at the generic level is referred to as a skeletal plan from which several entity-specific plans are generated. The SIM framework provides comprehensive management aspects for managing the complex information. In the SIM framework, the complex information goes through three phases, specifying the skeletal plans, instantiating entity-specific plans, and then maintaining these entity-specific plans during their lifespan. In this thesis, a language, called AIM (Advanced Information Management), has been developed to support the main functionalities of the SIM approach and framework. AIM consists of three components: AIMSL, AIM ESPDoc model, and AIMQL. The AIMSL is the AIM specification component that supports the formalisation process of the complex information at a generic level (skeletal plans). The AIM ESPDoc model is a computer-interpretable model for the entity-specific plan. AIMQL is the AIM query component that provides support for manipulating and querying the complex information, and provides special manipulation operations and query capabilities, such as replay query support. The applicability of the SIM approach and framework is demonstrated through developing a proof-of-concept system, called AIMS, using the available technologies, such as XML and DBMS. The thesis evaluates the the AIMS system using a clinical case study, which has applied to a medical test request application

Підхід до розробки інформаційної системи для екстракції даних з веб

Today, the Internet contains a huge number of sources of information, which is constantly used in our daily lives. It often happens that similar in meaning information is presented in different forms on different resources (for example, electronic libraries, online stores, news sites and etc.). In this paper, we analyze the extraction of information from certain type of web sources that is required by the user. The analysis of the data extraction problem was carried out. When considering the main approaches to data extraction, the strengths and weaknesses of each were identified. The main aspects of the extraction of web knowledge were formulated. Approaches and information technologies for solving problems of syntactic analysis based on existing information systems are analyzed. Based on the analysis, the task of developing models and software components for extracting data from certain types of web resources were solving. A conceptual model of extracting data was developed taking into account web space as an external data source. A requirements specification for the software component was created, which will allow to continue working on the project and to clearly understand the requirements and constraints for implementation. During the process of modeling software, the following diagrams have been developed, such as activities, sequences and deployments, which will then be used to create the finished software application. For further development of the software, a programming platform and types of testing (load and modular) were defined. The obtained results allow to state that the proposed design solution, which will be implemented as a prototype of the software system, can perform the task of extracting data from different sources on the basis of a single semantic template.Сьогодні Інтернет містить величезну кількість джерел інформації, яка постійно використовується в нашому щоденному житті. Часто буває, що схожа за змістом інформація представлена в різній формі на різних ресурсах (наприклад, електронні бібліотеки, інтернет-магазини, новинні сайти). У даній роботі аналізується вилучення інформації з веб-джерел певного типу, яке потрібно користувачеві. Проведено аналіз проблеми вилучення даних. При розгляді основних підходів до екстракції даних були виділені сильні і слабкі сторони кожного. Сформульовано основні аспекти вилучення веб-знань. Проаналізовано підходи та інформаційні технології вирішення проблем синтаксичного аналізу на основі існуючих інформаційних систем. На основі проведеного аналізу була сформована задача розробки моделей і програмних компонентів для отримання даних з веб-ресурсів певного типу. Розроблено концептуальну модель вилучення даних з урахуванням веб-простору як зовнішнього джерела даних. Була створена специфікація вимог для програмного компонента, що дозволить продовжити роботу над проектом, щоб чітко розуміти вимоги і обмеження для реалізації. При моделюванні програмного забезпечення були розроблені наступні діаграми, такі як діаграми класів, активності, послідовності і розгортання, які потім будуть використовуватися для створення готового додатка. Для подальшої розробки програмного забезпечення була визначена платформа програмування і види тестування (навантажувальний і модульне). Отримані результати дозволяють стверджувати, що пропоноване проектне рішення, яке буде реалізовано у вигляді прототипу програмної системи, може виконувати завдання екстракції даних з різних джерел на основі одного семантичного шаблону

State-of-the-art on evolution and reactivity

This report starts by, in Chapter 1, outlining aspects of querying and updating resources on the Web and on the Semantic Web, including the development of query and update languages to be carried out within the Rewerse project. From this outline, it becomes clear that several existing research areas and topics are of interest for this work in Rewerse. In the remainder of this report we further present state of the art surveys in a selection of such areas and topics. More precisely: in Chapter 2 we give an overview of logics for reasoning about state change and updates; Chapter 3 is devoted to briefly describing existing update languages for the Web, and also for updating logic programs; in Chapter 4 event-condition-action rules, both in the context of active database systems and in the context of semistructured data, are surveyed; in Chapter 5 we give an overview of some relevant rule-based agents frameworks

Conceptual Workflow for Complex Data Integration using AXML

International audienceRelevant data for decision support systems are available everywhere and in various formats. Such data must be integrated into a unified format. Traditional data integration approaches are not adapted to handle complex data. Thus, we exploit the Active XML language for integrating complex data. Its XML part allows to unify, model and store complex data. Moreover, its services part tackles the distributed issue of data sources. Accordingly, different integration tasks are proposed as services. These services are managed via a set of active rules that are built upon metadata and events of the integration system. In this paper, we design an architecture for integrating complex data autonomously. We have also designed the workflow for data integration tasks

Active Rules for Runtime Adaptivity Management

The trend over the last years clearly shows that modern Web development is evolving from traditional, HTML-based Web sites to fullfledged, complex Web applications, also equipped with active and/or adaptive application features. While this evolution unavoidably implies higher development costs and times, such implications are contrasted by the dynamics of the modern Web, which demands for even faster application development and evolution cycles. In this paper we address the above problem by focusing on the case of adaptive Web applications. We illustrate an ECA rule-based approach, intended to facilitate the management and evolution of adaptive application features. For this purpose, we stress the importance of decoupling the active logic (i.e. the adaptivity rules) from the execution of the actual application by means of a decoupled rule engine that is able to capture events and to autonomously enact adaptivity actions

State-of-the-art on evolution and reactivity

This report starts by, in Chapter 1, outlining aspects of querying and updating resources on the Web and on the Semantic Web, including the development of query and update languages to be carried out within the Rewerse project. From this outline, it becomes clear that several existing research areas and topics are of interest for this work in Rewerse. In the remainder of this report we further present state of the art surveys in a selection of such areas and topics. More precisely: in Chapter 2 we give an overview of logics for reasoning about state change and updates; Chapter 3 is devoted to briefly describing existing update languages for the Web, and also for updating logic programs; in Chapter 4 event-condition-action rules, both in the context of active database systems and in the context of semistructured data, are surveyed; in Chapter 5 we give an overview of some relevant rule-based agents frameworks

Reasoning & Querying – State of the Art

Various query languages for Web and Semantic Web data, both for practical use and as an area of research in the scientific community, have emerged in recent years. At the same time, the broad adoption of the internet where keyword search is used in many applications, e.g. search engines, has familiarized casual users with using keyword queries to retrieve information on the internet. Unlike this easy-to-use querying, traditional query languages require knowledge of the language itself as well as of the data to be queried. Keyword-based query languages for XML and RDF bridge the gap between the two, aiming at enabling simple querying of semi-structured data, which is relevant e.g. in the context of the emerging Semantic Web. This article presents an overview of the field of keyword querying for XML and RDF