Päätöksentekomenetelmien hyödyntäminen pientalon lämmitysjärjestelmän valinnassa

Tämän diplomityön tavoitteena on valita sopiva lämmitysjärjestelmä case taloon käyttäen apuna päätöksentekoprosessia ja eri vaiheissa sovellettavia menetelmiä. Työn avulla pyritään selvittämään kuinka hyvin päätöksentekomenetelmät sopivat lämmitysjärjestelmän valintaan ja mitä hyötyjä se tuo tullessaan. Prosessissa selvitetään lämmitysjärjestelmiin liittyviä asiakastarpeita, arvioidaan lämmitysjärjestelmien ominaisuuksia ja tehdään valinta näiden tietojen pohjalta. Kymmenhenkinen kuluttajaryhmä teki lopullisen päätöksen valittavasta lämmitysjärjestelmästä. Menetelmien avulla saatiin luotua kattava kuva erilaisista asiakastarpeista, jotka otettiin huomioon valinnassa. Ryhmä valitsi case taloon seitsemästä yleisestä lämmitysjärjestelmästä maalämmön. Työssä käytetyt menetelmät toimivat hyvin yhteistyössä toistensa kanssa. Menetelmien käyttö mahdollisti kaikkien kriteereiden huomioimisen ja tuloksien lähemmän tarkastelun. Työssä saatuja tuloksia voidaan hyödyntää lämmitysjärjestelmän valinnassa ottaen huomioon erilaiset lähtötilanteet. Herkkyysanalyyseissa maalämpö kesti monien kriteerien painotuksien muuttamista ja osoittautui tällä tavoin sopivimmaksi järjestelmäksi.

Communicative and Anticipatory Decision-Making Supported by Bayesian Networks

The purpose of this research is to draw up a clear construction of an anticipatory communicative decision-making process and a successful implementation of a Bayesian application that can be used as an anticipatory communicative decision-making support system. This study is a decision-oriented and constructive research project, and it includes examples of simulated situations. As a basis for further methodological discussion about different approaches to management research, in this research, a decision-oriented approach is used, which is based on mathematics and logic, and it is intended to develop problem solving methods. The approach is theoretical and characteristic of normative management science research. Also, the approach of this study is constructive. An essential part of the constructive approach is to tie the problem to its solution with theoretical knowledge. Firstly, the basic definitions and behaviours of an anticipatory management and managerial communication are provided. These descriptions include discussions of the research environment and formed management processes. These issues define and explain the background to further research. Secondly, it is processed to managerial communication and anticipatory decision-making based on preparation, problem solution, and solution search, which are also related to risk management analysis. After that, a solution to the decision-making support application is formed, using four different Bayesian methods, as follows: the Bayesian network, the influence diagram, the qualitative probabilistic network, and the time critical dynamic network. The purpose of the discussion is not to discuss different theories but to explain the theories which are being implemented. Finally, an application of Bayesian networks to the research problem is presented. The usefulness of the prepared model in examining a problem and the represented results of research is shown. The theoretical contribution includes definitions and a model of anticipatory decision-making. The main theoretical contribution of this study has been to develop a process for anticipatory decision-making that includes management with communication, problem-solving, and the improvement of knowledge. The practical contribution includes a Bayesian Decision Support Model, which is based on Bayesian influenced diagrams. The main contributions of this research are two developed processes, one for anticipatory decision-making, and the other to produce a model of a Bayesian network for anticipatory decision-making. In summary, this research contributes to decision-making support by being one of the few publicly available academic descriptions of the anticipatory decision support system, by representing a Bayesian model that is grounded on firm theoretical discussion, by publishing algorithms suitable for decision-making support, and by defining the idea of anticipatory decision-making for a parallel version. Finally, according to the results of research, an analysis of anticipatory management for planned decision-making is presented, which is based on observation of environment, analysis of weak signals, and alternatives to creative problem solving and communication.

Corporate Social Responsibility in the Oil and Gas Industry: Environmental Management Systems as a Source of Sustainable Development

The environmental aspect of corporate social responsibility (CSR) expressed through the process of the EMS implementation in the oil and gas companies is identified as the main subject of this research. In the theoretical part, the basic attention is paid to justification of a link between CSR and environmental management. The achievement of sustainable competitive advantage as a result of environmental capital growth and inclusion of the socially responsible activities in the corporate strategy is another issue that is of special significance here. Besides, two basic forms of environmental management systems (environmental decision support systems and environmental information management systems) are explored and their role in effective stakeholder interaction is tackled. The most crucial benefits of EMS are also analyzed to underline its importance as a source of sustainable development. Further research is based on the survey of 51 sampled oil and gas companies (both publicly owned and state owned ones) originated from different countries all over the world and providing reports on sustainability issues in the open access. To analyze their approach to sustainable development, a specifically designed evaluation matrix with 37 indicators developed in accordance with the General Reporting Initiative (GRI) guidelines for non-financial reporting was prepared. Additionally, the quality of environmental information disclosure was measured on the basis of a quality – quantity matrix. According to results of research, oil and gas companies prefer implementing reactive measures to the costly and knowledge-intensive proactive techniques for elimination of the negative environmental impacts. Besides, it was identified that the environmental performance disclosure is mostly rather limited, so that the quality of non-financial reporting can be judged as quite insufficient. In spite of the fact that most of the oil and gas companies in the sample claim the EMS to be embedded currently in their structure, they often do not provide any details for the process of their implementation. As a potential for the further development of EMS, author mentions possible integration of their different forms in a single entity, extension of existing structure on the basis of consolidation of the structural and strategic precautions as well as development of a unified certification standard instead of several ones that exist today in order to enhance control on the EMS implementation.

Mapping financial stability

The ongoing global financial crisis has demonstrated the importance of a systemwide, or macroprudential, approach to safeguarding financial stability. An essential part of macroprudential oversight concerns the tasks of early identification and assessment of risks and vulnerabilities that eventually may lead to a systemic financial crisis. Thriving tools are crucial as they allow early policy actions to decrease or prevent further build-up of risks or to otherwise enhance the shock absorption capacity of the financial system. In the literature, three types of systemic risk can be identified: i ) build-up of widespread imbalances, ii ) exogenous aggregate shocks, and iii ) contagion. Accordingly, the systemic risks are matched by three categories of analytical methods for decision support: i ) early-warning, ii ) macro stress-testing, and iii ) contagion models. Stimulated by the prolonged global financial crisis, today's toolbox of analytical methods includes a wide range of innovative solutions to the two tasks of risk identification and risk assessment. Yet, the literature lacks a focus on the task of risk communication. This thesis discusses macroprudential oversight from the viewpoint of all three tasks: Within analytical tools for risk identification and risk assessment, the focus concerns a tight integration of means for risk communication. Data and dimension reduction methods, and their combinations, hold promise for representing multivariate data structures in easily understandable formats. The overall task of this thesis is to represent high-dimensional data concerning financial entities on lowdimensional displays. The low-dimensional representations have two subtasks: i ) to function as a display for individual data concerning entities and their time series, and ii ) to use the display as a basis to which additional information can be linked. The final nuance of the task is, however, set by the needs of the domain, data and methods. The following ve questions comprise subsequent steps addressed in the process of this thesis: 1. What are the needs for macroprudential oversight? 2. What form do macroprudential data take? 3. Which data and dimension reduction methods hold most promise for the task? 4. How should the methods be extended and enhanced for the task? 5. How should the methods and their extensions be applied to the task? Based upon the Self-Organizing Map (SOM), this thesis not only creates the Self-Organizing Financial Stability Map (SOFSM), but also lays out a general framework for mapping the state of financial stability. This thesis also introduces three extensions to the standard SOM for enhancing the visualization and extraction of information: i ) fuzzifications, ii ) transition probabilities, and iii ) network analysis. Thus, the SOFSM functions as a display for risk identification, on top of which risk assessments can be illustrated. In addition, this thesis puts forward the Self-Organizing Time Map (SOTM) to provide means for visual dynamic clustering, which in the context of macroprudential oversight concerns the identification of cross-sectional changes in risks and vulnerabilities over time. Rather than automated analysis, the aim of visual means for identifying and assessing risks is to support disciplined and structured judgmental analysis based upon policymakers' experience and domain intelligence, as well as external risk communication.

Spatial multicriteria decision analysis for the siting of on-shore wind power in Kemiönsaari

Wind power is a low-carbon energy production form that reduces the dependence of society on fossil fuels. Finland has adopted wind energy production into its climate change mitigation policy, and that has lead to changes in legislation, guidelines, regional wind power areas allocation and establishing a feed-in tariff. Wind power production has indeed boosted in Finland after two decades of relatively slow growth, for instance from 2010 to 2011 wind energy production increased with 64 %, but there is still a long way to the national goal of 6 TWh by 2020. This thesis introduces a GIS-based decision-support methodology for the preliminary identification of suitable areas for wind energy production including estimation of their level of risk. The goal of this study was to define the least risky places for wind energy development within Kemiönsaari municipality in Southwest Finland. Spatial multicriteria decision analysis (SMCDA) has been used for searching suitable wind power areas along with many other location-allocation problems. SMCDA scrutinizes complex ill-structured decision problems in GIS environment using constraints and evaluation criteria, which are aggregated using weighted linear combination (WLC). Weights for the evaluation criteria were acquired using analytic hierarchy process (AHP) with nine expert interviews. Subsequently, feasible alternatives were ranked in order to provide a recommendation and finally, a sensitivity analysis was conducted for the determination of recommendation robustness. The first study aim was to scrutinize the suitability and necessity of existing data for this SMCDA study. Most of the available data sets were of sufficient resolution and quality. Input data necessity was evaluated qualitatively for each data set based on e.g. constraint coverage and attribute weights. Attribute quality was estimated mainly qualitatively by attribute comprehensiveness, operationality, measurability, completeness, decomposability, minimality and redundancy. The most significant quality issue was redundancy as interdependencies are not tolerated by WLC and AHP does not include measures to detect them. The third aim was to define the least risky areas for wind power development within the study area. The two highest ranking areas were Nordanå-Lövböle and Påvalsby followed by Helgeboda, Degerdal, Pungböle, Björkboda, and Östanå-Labböle. The fourth aim was to assess the recommendation reliability, and the top-ranking two areas proved robust whereas the other ones were more sensitive.

Liiketoimintatiedonhallinta strategisen suunnittelun tietolähteenä, Case: OP-Pohjola-ryhmä

Finanssiala on kokonaisuutena suurten muutosten ja vaatimusten kohteena. Toisaalta globalisaatio ja kehittyvä tietotalous antavat toiminnalle suuria mahdollisuuksia, toisaalta finanssikriisin jälkeistä aikaa on leimannut perinteisen korkokatteen supistuminen ja uusien tulonlähteiden etsintä. Entistä tehokkaampi tietojenkäsittely ja asiakastietojen hyväksikäyttö luo edellytyksiä toimia alalla entistä tehokkaammin ja ohjata yrityksen päätöksentekoa tiedolla. Tämän pro gradu –tutkielman tavoitteena oli tutkia tiedon roolia OP-Pohjola-ryhmän strategiaprosessissa ja luoda malli, jolla liiketoimintatietoa pystyttäisi käyttämään tehokkaammin ja tarkoituksenmukaisemmin hyväksi strategiatyössä. Tutkielma toteutettiin tapaustutkimuksena ja empiirinen aineisto hankittiin haastattelemalla organisaation strategiaprosessiin osallistuvia tahoja. Tutkimuksen tulosten mukaan OP-Pohjola-ryhmällä ei ole määrämuotoista tapaa käyttää hyväksi liiketoimintatiedonhallinnan tuottamaa dataa. Strategiaprosessin päätöksenteossa merkittävä rooli on yksilöiden toisaalta omista organisaatioista tuottaman liiketoimintatiedon ja toisaalta yksilöiden hiljaisen tiedon varassa. Tutkimuksen lopputuloksena luotiin malli, jolla strategiaprosessiin tuotetaan tietoa määrämuotoisen ja toistettavan prosessin kautta.

Ensuring the efficient utilization of Business Intelligence

In recent years, chief information officers (CIOs) around the world have identified Business Intelligence (BI) as their top priority and as the best way to enhance their enterprises competitiveness. Yet, many enterprises are struggling to realize the business value that BI promises. This discrepancy causes important questions, for example: what are the critical success factors of Business Intelligence and, more importantly, how it can be ensured that a Business Intelligence program enhances enterprises competitiveness. The main objective of the study is to find out how it can be ensured that a BI program meets its goals in providing competitive advantage to an enterprise. The objective is approached with a literature review and a qualitative case study. For the literature review the main objective populates three research questions (RQs); RQ1: What is Business Intelligence and why is it important for modern enterprises? RQ2: What are the critical success factors of Business Intelligence programs? RQ3: How it can be ensured that CSFs are met? The qualitative case study covers the BI program of a Finnish global manufacturer company. The research questions for the case study are as follows; RQ4: What is the current state of the case company’s BI program and what are the key areas for improvement? RQ5: In what ways the case company’s Business Intelligence program could be improved? The case company’s BI program is researched using the following methods; action research, semi-structured interviews, maturity assessment and benchmarking. The literature review shows that Business Intelligence is a technology-based information process that contains a series of systematic activities, which are driven by the specific information needs of decision-makers. The objective of BI is to provide accurate, timely, fact-based information, which enables taking actions that lead to achieving competitive advantage. There are many reasons for the importance of Business Intelligence, two of the most important being; 1) It helps to bridge the gap between an enterprise’s current and its desired performance, and 2) It helps enterprises to be in alignment with key performance indicators meaning it helps an enterprise to align towards its key objectives. The literature review also shows that there are known critical success factors (CSFs) for Business Intelligence programs which have to be met if the above mentioned value is wanted to be achieved, for example; committed management support and sponsorship, business-driven development approach and sustainable data quality. The literature review shows that the most common challenges are related to these CSFs and, more importantly, that overcoming these challenges requires a more comprehensive form of BI, called Enterprise Performance Management (EPM). EPM links measurement to strategy by focusing on what is measured and why. The case study shows that many of the challenges faced in the case company’s BI program are related to the above-mentioned CSFs. The main challenges are; lack of support and sponsorship from business, lack of visibility to overall business performance, lack of rigid BI development process, lack of clear purpose for the BI program and poor data quality. To overcome these challenges the case company should define and design an enterprise metrics framework, make sure that BI development requirements are gathered and prioritized by business, focus on data quality and ownership, and finally define clear goals for the BI program and then support and sponsor these goals.

New and Emerging Challenges of the ICT-Mediated Health and Well-Being Services

This monograph dissertation looks into the field of ICT-mediated health and well-being services. Through six chapters that extend the work done in the reviewed and published articles, the dissertation focuses on new and emerging technologies, and to impact of their use on the beneficiary; the individual who eventually derives advantage from the services. As the field is currently going through major changes particularly in the OECD countries, the focus is on shortterm developments in the field and the analysis on the long term developments is cursory by nature. The dissertation includes theoretical and empirical elements. Most of the empirical elements are linked to product development and conceptualization performed in the national MyWellbeing project that ended in 2010. In the project, the emphasis was on conceptualization of a personal aid for the beneficiary that could be used for managing information and services in the field of health and well-being services. This work continued the theme of developing individual-centric solutions for the field; a work that started in the InnoElli Senior program in 2006. The nature of this thesis is foremost a conceptual elaboration based on a literature review, illustrated in empirical work performed in different projects. As a theoretical contribution, this dissertation elaborates the role of a mediator, i.e. an intermediary, and it is used as an overarching theme. The role acts as a ‘lens’ through which a number of technology-related phenomena are looked at, pinned down and addressed to a degree. This includes introduction of solutions, ranging from anthropomorphic artefacts to decision support systems that may change the way individuals experience clinical encounters in the near-future. Due to the complex and multiform nature of the field, it is impractical and effectively impossible to cover all aspects that are related to mediation in a single work. Issues such as legislation, financing and privacy are all of equal importance. Consideration of all these issues is beyond the scope of this dissertation and their investigation is left to other work. It follows from this that the investigation on the role is not intended as inclusive one. The role of the mediator is also used to highlight some of the ethical issues related to personal health information management, and to mediating health and well-being related issues on behalf of another individual, such as an elderly relative or a fellow member of a small unit in the armed forces. The dissertation concludes in a summary about the use and functions of the mediator, describing some potential avenues for implementing such support mechanisms to the changing field of ICT-mediated health and well-being services. The conclusions also describe some of the limitations of this dissertation, including remarks on methodology and content.

Nurses’ Acceptance of an Internet-Based Support System in The Care of Adolescents with Depression

The overall goal of the study was to describe nurses’ acceptance of an Internet-based support system in the care of adolescents with depression. The data were collected in four phases during the period 2006 – 2010 from nurses working in adolescent psychiatric outpatient clinics and from professionals working with adolescents in basic public services. In the first phase, the nurses’ anticipated perceptions of the usefulness of the Internet-based support system before its implementation was explored. In the second phase, the nurses’ perceived ease of computer and Internet use and attitudes toward it were explored. In the third phase, the features of the support system and its implementation process were described. In the fourth phase, the nurses’ experiences of behavioural intention and actual system use of the Internet-based support were described in psychiatric out-patient care after one year use. The Technology Acceptance Model (TAM) was used to structure the various research phases. Several benefits were identified from the nurses’ perspective in using the Internet-based support system in the care of adolescents with depression. The nurses’ technology skills were good and their attitudes towards computer use were positive. The support system was developed in various phases to meet the adolescents’ needs. Before the implementation of the information technology (IT)-based support system, it is important to pay attention to the nurses’ IT-training, technology support, resources, and safety as well as ethical issues related to the support system. After one year of using the system, the nurses perceived the Internet-based support system to be useful in the care of adolescents with depression. The adolescents’ independent work with the support system at home and the program’s systematic character were experienced as conducive from the point of view of the treatment. However, the Internet-based support system was integrated only partly into the nurseadolescent interaction even though the nurses’ perceptions of it were positive. The use of the IT-based system as part of the adolescents’ depression care was seen positively and its benefits were recognized. This serves as a good basis for future IT-based techniques. Successful implementations of IT-based support systems need a systematic implementation plan and commitment from the part of the organization and its managers. Supporting and evaluating the implementation of an IT-based system should pay attention to changing the nurses’ work styles. Health care organizations should be offered more flexible opportunities to utilize IT-based systems in direct patient care in the future.

On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

Les cadres intermédiaires et l’information : modélisation des comportements informationnels de cadres intermédiaires d’une municipalité en transformation

Un atout majeur des organisations consiste en leur capacité à créer et exploiter l’information et les connaissances, capacité déterminée entre autres par les comportements informationnels. Chargés de décisions stratégiques, tactiques et opérationnelles, les cadres intermédiaires sont au cœur du processus de création des connaissances, et leurs comportements informationnels doivent être soutenus par des systèmes d’information. Toutefois, leurs comportements informationnels sont peu documentés. La présente recherche porte sur la modélisation des comportements informationnels de cadres intermédiaires d’une organisation municipale. Plus spécifiquement, elle examine comment ces cadres répondent à leurs besoins d’information courante dans le contexte de leurs activités de gestion, c’est-à-dire dans leur environnement d’utilisation d’information. L’étude répond aux questions de recherche suivantes : (1) Quelles sont les situations problématiques auxquelles font face les cadres intermédiaires municipaux ? (2) Quels sont les besoins informationnels exprimés par les cadres intermédiaires municipaux lors de situations problématiques ? (3) Quelles sont les sources d’information qui soutiennent les comportements informationnels des cadres intermédiaires municipaux ? Cette recherche descriptive s’inscrit dans une approche qualitative. Les 21 cadres intermédiaires ayant participé à l’étude proviennent de deux arrondissements d’une municipalité québécoise fusionnée en 2002. Les modes de collecte de données sont l’entrevue en profondeur en personne et l’observation directe auprès de ces cadres, et la collecte de documentation pertinente. L’incident critique est utilisé comme technique de collecte de données et comme unité d’analyse. Les données recueillies font l’objet d’une analyse de contenu qualitative basée sur la théorisation ancrée. Les résultats indiquent que les rôles de gestion proposés dans les écrits pour les cadres supérieurs s’appliquent aussi aux cadres intermédiaires, bien que le rôle conseil ressorte comme étant particulier à ces derniers. Ceux-ci ont des responsabilités de gestion aux trois niveaux d’intervention opérationnel, tactique et stratégique, bien qu’ils œuvrent davantage au plan tactique. Les situations problématiques dont ils sont chargés s’inscrivent dans l’environnement d’utilisation d’information constitué des composantes suivantes : leurs rôles et responsabilités de gestion et le contexte organisationnel propre à une municipalité en transformation. Les cadres intermédiaires ont eu à traiter davantage de situations nouvelles que récurrentes, caractérisées par des sujets portant principalement sur les ressources matérielles et immobilières ou sur des aspects d’intérêt juridique, réglementaire et normatif. Ils ont surtout manifesté des besoins pour de l’information de nature processuelle et contextuelle. Pour y répondre, ils ont consulté davantage de sources verbales que documentaires, même si le nombre de ces dernières reste élevé, et ont préféré utiliser des sources d’information internes. Au plan théorique, le modèle de comportement informationnel proposé pour les cadres intermédiaires municipaux enrichit les principales composantes du modèle général d’utilisation de l’information (Choo, 1998) et du modèle d’environnement d’utilisation d’information (Taylor, 1986, 1991). L’étude permet aussi de préciser les concepts d’« utilisateur » et d’« utilisation de l’information ». Au plan pratique, la recherche permet d’aider à la conception de systèmes de repérage d’information adaptés aux besoins des cadres intermédiaires municipaux, et aide à évaluer l’apport des systèmes d’information archivistiques à la gestion de la mémoire organisationnelle.

A portal for the Canadian Virtual Health Library / Bibliothèque virtuelle canadienne de la santé (CVHL/BVCS): Accomplishments and possibilities, scope and structure - a review of best practices

Introduction: Coordination through CVHL/BVCS gives Canadian health libraries access to information technology they could not offer individually, thereby enhancing the library services offered to Canadian health professionals. An example is the portal being developed. Portal best practices are of increasing interest (usability.gov; Wikipedia portals; JISC subject portal project; Stanford clinical portals) but conclusive research is not yet available. This paper will identify best practices for a portal bringing together knowledge for Canadian health professionals supported through a network of libraries. Description: The portal for Canadian health professionals will include capabilities such as: • Authentication • Question referral • Specialist “branch libraries” • Integration of commercial resources, web resources and health systems data • Cross-resource search engine • Infrastructure to enable links from EHR and decision support systems • Knowledge translation tools, such as highlighting of best evidence Best practices will be determined by studying the capabilities of existing portals, including consortia/networks and individual institutions, and through a literature review. Outcomes: Best practices in portals will be reviewed. The collaboratively developed Virtual Library, currently the heart of cvhl.ca, is a unique database collecting high quality, free web documents and sites relevant to Canadian health care. The evident strengths of the Virtual Library will be discussed in light of best practices. Discussion: Identification of best practices will support cost-benefit analysis of options and provide direction for CVHL/BVCS. Open discussion with stakeholders (libraries and professionals) informed by this review will lead to adoption of the best technical solutions supporting Canadian health libraries and their users.

Le journaliste dans le processus de recherche d'information sur le Web

Le présent mémoire cherche à comprendre et à cerner le lien entre la stratégie de recherche d’information par le journaliste sur le web et les exigences de sa profession. Il vise à appréhender les précautions que prend le journaliste lors de sa recherche d’information sur le web en rapport avec les contraintes que lui imposent les règles de sa profession pour assurer la qualité des sources d’informations qu’il exploite. Nous avons examiné cette problématique en choisissant comme cadre d’étude Radio-Canada où nous avons rencontré quelques journalistes. Ceux-ci ont été suivis en situation de recherche d’information puis questionnés sur leurs expériences de recherche. L’arrivée d’internet et la révolution technologique qui en a découlé ont profondément bouleversé les pratiques journalistiques. La recherche d’information représente ainsi une zone importante de cette mutation des pratiques. Cette transformation amène surtout à s’interroger sur la façon dont la nouvelle façon de rechercher les sources d’information influence le travail du journaliste, et surtout les balises que se donne celui-ci pour résister aux pièges découlant de sa nouvelle méthode de travail.

Design And Development Of A Named Entity Based Question Answering System For Malayalam Language

This is a Named Entity Based Question Answering System for Malayalam Language. Although a vast amount of information is available today in digital form, no effective information access mechanism exists to provide humans with convenient information access. Information Retrieval and Question Answering systems are the two mechanisms available now for information access. Information systems typically return a long list of documents in response to a user’s query which are to be skimmed by the user to determine whether they contain an answer. But a Question Answering System allows the user to state his/her information need as a natural language question and receives most appropriate answer in a word or a sentence or a paragraph. This system is based on Named Entity Tagging and Question Classification. Document tagging extracts useful information from the documents which will be used in finding the answer to the question. Question Classification extracts useful information from the question to determine the type of the question and the way in which the question is to be answered. Various Machine Learning methods are used to tag the documents. Rule-Based Approach is used for Question Classification. Malayalam belongs to the Dravidian family of languages and is one of the four major languages of this family. It is one of the 22 Scheduled Languages of India with official language status in the state of Kerala. It is spoken by 40 million people. Malayalam is a morphologically rich agglutinative language and relatively of free word order. Also Malayalam has a productive morphology that allows the creation of complex words which are often highly ambiguous. Document tagging tools such as Parts-of-Speech Tagger, Phrase Chunker, Named Entity Tagger, and Compound Word Splitter are developed as a part of this research work. No such tools were available for Malayalam language. Finite State Transducer, High Order Conditional Random Field, Artificial Immunity System Principles, and Support Vector Machines are the techniques used for the design of these document preprocessing tools. This research work describes how the Named Entity is used to represent the documents. Single sentence questions are used to test the system. Overall Precision and Recall obtained are 88.5% and 85.9% respectively. This work can be extended in several directions. The coverage of non-factoid questions can be increased and also it can be extended to include open domain applications. Reference Resolution and Word Sense Disambiguation techniques are suggested as the future enhancements

Hierarchies of conceptual scales

Formal Concept Analysis allows to derive conceptual hierarchies from data tables. Formal Concept Analysis is applied in various domains, e.g., data analysis, information retrieval, and knowledge discovery in databases. In order to deal with increasing sizes of the data tables (and to allow more complex data structures than just binary attributes), conceputal scales habe been developed. They are considered as metadata which structure the data conceptually. But in large applications, the number of conceptual scales increases as well. Techniques are needed which support the navigation of the user also on this meta-level of conceptual scales. In this paper, we attack this problem by extending the set of scales by hierarchically ordered higher level scales and by introducing a visualization technique called nested scaling. We extend the two-level architecture of Formal Concept Analysis (the data table plus one level of conceptual scales) to many-level architecture with a cascading system of conceptual scales. The approach also allows to use representation techniques of Formal Concept Analysis for the visualization of thesauri and ontologies.