Implementing Semantic Search to a Case Management System

The amount of information in today’s information society is immense, which creates a need for intuitive and effective search functionalities and applications. In addition to openly available search applications, organizations need internal search functionalities for optimizing their information management. This thesis provides an implementation suggestion for JoutseNet semantic search application. JoutseNet is a case management system used by the authorities and the employees of the city of Turku. Thesis begins by introducing some relevant fundamentals of natural language processing and search engines. Literature review is utilized to find semantic search implementation methods from previous research papers. Case JoutseNet is introduced with some background information on the case management process and with a brief user research and examination on the current state of the system. Learnings from the fundamental guidelines and conducted research are combined to implement the search application. After the implementation documentation, guidelines for optimizing and testing the application are given. The value and performance of the implementation is yet to be determined because the production data of the JoutseNet system could not be used for research purposes. A comprehensive suggestion is provided, but further research and development is still needed before delivering it to the production environment

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Information retrieval and text mining technologies for chemistry

Efficient access to chemical information contained in scientific literature, patents, technical reports, or the web is a pressing need shared by researchers and patent attorneys from different chemical disciplines. Retrieval of important chemical information in most cases starts with finding relevant documents for a particular chemical compound or family. Targeted retrieval of chemical documents is closely connected to the automatic recognition of chemical entities in the text, which commonly involves the extraction of the entire list of chemicals mentioned in a document, including any associated information. In this Review, we provide a comprehensive and in-depth description of fundamental concepts, technical implementations, and current technologies for meeting these information demands. A strong focus is placed on community challenges addressing systems performance, more particularly CHEMDNER and CHEMDNER patents tasks of BioCreative IV and V, respectively. Considering the growing interest in the construction of automatically annotated chemical knowledge bases that integrate chemical information and biological data, cheminformatics approaches for mapping the extracted chemical names into chemical structures and their subsequent annotation together with text mining applications for linking chemistry with biological information are also presented. Finally, future trends and current challenges are highlighted as a roadmap proposal for research in this emerging field.A.V. and M.K. acknowledge funding from the European Community’s Horizon 2020 Program (project reference: 654021 - OpenMinted). M.K. additionally acknowledges the Encomienda MINETAD-CNIO as part of the Plan for the Advancement of Language Technology. O.R. and J.O. thank the Foundation for Applied Medical Research (FIMA), University of Navarra (Pamplona, Spain). This work was partially funded by Consellería de Cultura, Educación e Ordenación Universitaria (Xunta de Galicia), and FEDER (European Union), and the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684). We thank Iñigo Garciá -Yoldi for useful feedback and discussions during the preparation of the manuscript.info:eu-repo/semantics/publishedVersio

Efficient Decision Support Systems

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers

Outsourced Analysis of Encrypted Graphs in the Cloud with Privacy Protection

Huge diagrams have unique properties for organizations and research, such as client linkages in informal organizations and customer evaluation lattices in social channels. They necessitate a lot of financial assets to maintain because they are large and frequently continue to expand. Owners of large diagrams may need to use cloud resources due to the extensive arrangement of open cloud resources to increase capacity and computation flexibility. However, the cloud's accountability and protection of schematics have become a significant issue. In this study, we consider calculations for security savings for essential graph examination practices: schematic extraterrestrial examination for outsourcing graphs in the cloud server. We create the security-protecting variants of the two proposed Eigen decay computations. They are using two cryptographic algorithms: additional substance homomorphic encryption (ASHE) strategies and some degree homomorphic encryption (SDHE) methods. Inadequate networks also feature a distinctively confidential info adaptation convention to allow the trade-off between secrecy and data sparseness. Both dense and sparse structures are investigated. According to test results, calculations with sparse encoding can drastically reduce information. SDHE-based strategies have reduced computing time, while ASHE-based methods have reduced stockpiling expenses

Evidence-Based Practice for Public Health Project: Final Report

There are numerous clinically based models for finding the “best evidence” for the diagnosis and treatment of disease. This process is called evidence-based medicine or EBM, which has been defined as the conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients. The practice of evidence-based medicine means integrating individual clinical expertise with the best available external clinical evidence from systematic research”.1 The need for improved access to high quality public health information has been echoed in various forums involving public health professionals, librarians, and information specialists since the mid 1990s.2-6 The information needs of the public health workforce have become all the more urgent with the increasing frequency of emergence of new infectious diseases such as severe acute respiratory syndrome (SARS) and avian influenza, as well as the increasing concern about acts of bioterrorism, such as spreading anthrax spores via the US Postal Service in 2001. A major difficulty in meeting these needs is the great breadth of the public health discipline that makes it difficult to identify and collect a body of evidence-based literature to address the growing multitude of specific public health information needs. The public health workforce may be more diverse than any other group of health professionals7 and includes professionals trained in dozens of disciplines,4, 6 ranging from environmental health to veterinary medicine, from sanitary engineering to epidemiology. Access to evidence-based public health information has become a growing concern for medical librarians. In 1997, the National Library of Medicine (NLM) along with the Centers for Disease Control and Prevention (CDC), the Association of State and Territorial Health Officials (ASTHO), the National Association of County and City Health Officials (NACCHO), and other public health organizations formed the Partners in Information Access for the Public Health Workforce.8 The mission of Partners is to help the public health workforce find and use information effectively to improve and protect the public\u27s health. The Evidence-Based Practice for Public Health Project at the Lamar Soutter Library, University of Massachusetts Medical School, was initiated in 2001. At the start of this project there was little attention paid to best practices for population-based public health. The overall purpose of this project was to address the need for access to quality evidence-based public health information. In an effort to improve access to resources for evidence-based public health practice, the project has identified the knowledge domains of public health, public health journals and bibliographic databases, and evidence-based resources for public health practice. The project compared existing resources for locating, summarizing, synthesizing, and disseminating evidence-based information available to clinical medical practitioners with resources available to public health practitioners. We found that there were many more types of resources focused on clinical medical practice than on public health practice. The clinical medical resources were based on several different models of information search, summary, synthesis, and delivery, and some of most promising models had little or no presence in the public health arena. To explore and address this gap, the project sought to examine and classify the features of the clinical evidence-based medicine models, to assess their potential for improving access to evidence-based public health information, and to develop new models that could effectively address the unique needs of public health professionals. The project team undertook a qualitative study to determine the information needs of public health practitioners and to develop strategies to improve access to credible and relevant information. The study combined three objectives that previous investigators had generally pursued individually: (1) the characterization of information needs of public health practitioners, (2) the assessment of barriers to information access, and (3) the identification of typical information seeking behaviors. We have used the insights gained from the study to inform the construction of an extended classification of the types of information needed by public health professionals and of an information system model that could meet their needs for access to diverse credible sources

Imaging Informatics and the Human Brain Project: the Role of Structure, Review

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STAK – Serendipitous tool for augmenting knowledge: A conceptual tool for bridging digital and physical resources

Humanities scholars have long claimed the importance of browsing in the library stacks as part of their research process. The digitization practices of libraries and archives, while meant to assist with preservation and access, make the physical browsing experience impossible. While there have been various attempts to recreate this experience online, none as yet has created a digital tool which users can interact with as they move through the physical material in the library. This paper aims to introduce the concept of the Serendipitous Tool for Augmenting Knowledge (STAK), a geolocative app that allows users to access material complementary to what they are looking at on library shelves. The authors outline the research behind STAK, the potential for locative media and augmented reality in libraries, and the design requirements for STAK. Finally, they outline two elements of serendipity that they hope to emulate in STAK: Noticing, and Capture and Recall. By enhancing the physical collection with digital information, STAK aims to bring scholars the best of both worlds, and to encourage them to return to the physical library to explore, learn, and browse. Depuis longtemps, les chercheurs des sciences humaines soulignent l’importance dans leur processus de recherche de parcourir des ouvrages dans les rayons des bibliothèques. Bien que les pratiques de numérisation des bibliothèques et des archives aient pour objet d’aider la préservation et l’accès, elles rendent aussi impossible l’expérience de la consultation physique sur place. Il y a bien eu diverses tentatives pour recréer cette expérience en ligne, mais aucune n’a jusqu’à présent créé un outil numérique avec lequel les usagers peuvent interagir alors qu’ils consultent physiquement la documentation dans la bibliothèque. Cet article vise à introduire le concept de Serendipitous Tool for Augmenting Knowledge (STAK) (Outil fortuit pour l’enrichissement de la connaissance), une application géo-locative qui permet aux usagers d’avoir accès à une documentation complémentaire à celle qu’ils recherchent dans les rayons de la bibliothèque. Les auteurs présentent la recherche motivant STAK, le potentiel des médias locatifs et de la réalité enrichie dans les bibliothèques, et les exigences de la conception de STAK. Enfin, ils soulignent deux éléments d’heureux hasard qu’ils espèrent imiter dans STAK: Constater, et Saisir et Rappeler. En optimisant la collection physique au moyen de l’information numérique, STAK vise à apporter aux chercheurs le meilleur des deux mondes, et à les encourager à retourner dans la bibliothèque physique pour explorer, apprendre et parcourir les ouvrages