5,677 research outputs found

    Visualization of database structures for information retrieval

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    This paper describes the Book House system, which is designed to support children's information retrieval in libraries as part of their education. It is a shareware program available on CD‐ROM or floppy disks, and comprises functionality for database searching as well as for classifying and storing book information in the database. The system concept is based on an understanding of children's domain structures and their capabilities for categorization of information needs in connection with their activities in schools, in school libraries or in public libraries. These structures are visualized in the interface by using metaphors and multimedia technology. Through the use of text, images and animation, the Book House encourages children ‐ even at a very early age ‐ to learn by doing in an enjoyable way, which plays on their previous experiences with computer games. Both words and pictures can be used for searching; this makes the system suitable for all age groups. Even children who have not yet learned to read properly can, by selecting pictures, search for and find those books they would like to have read aloud. Thus, at the very beginning of their school life, they can learn to search for books on their own. For the library community, such a system will provide an extended service which will increase the number of children's own searches and also improve the relevance, quality and utilization of the book collections in the libraries. A market research report on the need for an annual indexing service for books in the Book House format is in preparation by the Danish Library Centre A/S

    Scalable Object Recognition Using Hierarchical Quantization with a Vocabulary Tree

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    An image retrieval technique employing a novel hierarchical feature/descriptor vector quantizer tool—‘vocabulary tree’, of sorts comprising hierarchically organized sets of feature vectors—that effectively partitions feature space in a hierarchical manner, creating a quantized space that is mapped to integer encoding. The computerized implementation of the new technique(s) employs subroutine components, such as: A trainer component of the tool generates a hierarchical quantizer, Q, for application/use in novel image-insertion and image-query stages. The hierarchical quantizer, Q, tool is generated by running k-means on the feature (a/k/a descriptor) space, recursively, on each of a plurality of nodes of a resulting quantization level to ‘split’ each node of each resulting quantization level. Preferably, training of the hierarchical quantizer, Q, is performed in an ‘offline’ fashion

    Intelligent Word Embeddings of Free-Text Radiology Reports

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    Radiology reports are a rich resource for advancing deep learning applications in medicine by leveraging the large volume of data continuously being updated, integrated, and shared. However, there are significant challenges as well, largely due to the ambiguity and subtlety of natural language. We propose a hybrid strategy that combines semantic-dictionary mapping and word2vec modeling for creating dense vector embeddings of free-text radiology reports. Our method leverages the benefits of both semantic-dictionary mapping as well as unsupervised learning. Using the vector representation, we automatically classify the radiology reports into three classes denoting confidence in the diagnosis of intracranial hemorrhage by the interpreting radiologist. We performed experiments with varying hyperparameter settings of the word embeddings and a range of different classifiers. Best performance achieved was a weighted precision of 88% and weighted recall of 90%. Our work offers the potential to leverage unstructured electronic health record data by allowing direct analysis of narrative clinical notes.Comment: AMIA Annual Symposium 201

    Applying TSSL in database schema modeling: visualizing the syntax of gradual transitions

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    Since database conceptual modeling is a complex cognitive activity, finding an appropriate pedagogy to deliver the topic to novice database designers is a challenge for Information Systems (IS) educators. The four-level TSSL model that is known in the area of human-computer interactions (HCI) is used to explain and demonstrate how instructional design can minimize extraneous cognitive load in the conceptual modeling task of designing a database schema. The instructional design approach puts focus on the syntactic level of TSSL, to explain how visualizing gradual transitions between hierarchic levels of the schema is effective in database modeling. The current work demonstrates the approach, and at the next phase we plan to experimentally test the effectiveness of the approach by comparing performance and attitudes of students who are exposed to emphasizing the syntax of the gradual transitions in schema structure to those who are not exposed to itPeer Reviewe

    Paper Session II-B - Application of Information Technology to the National Launch System

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    The information needs of the National Launch System program had their beginnings with the Advanced Launch System (ALS). The Technical Reference Document for ALS called for a Unified Information System (UNIS) to provide, in a timely manner, all the information required to manage, design, manufacture, integrate, test, launch, operate, and support the ALS. UNIS 9 was to provide the link between distributed, heterogeneous workstations which were to make up both the ground and flight information systems. In addition, there was to be an Advanced Launch System Model (ALSYM), a set of computerized submodels, or tools, which would work together to simulate all aspects of the ALS. These conceptual requirements were transitioned to the NLS program, and UNIS and the system simulation exist today. The current version of the NLS UNIS links geographically dispersed users to databases, analysis tools, program management tools, and communications devices. UNIS development is continuing to provide the ultimate capabilities which were described in the ALS Technical Reference Document. The approach to that development, as well as the current and planned capabilities are described. The ALSYM requirement transitioned as a requirement for a largescale, end-to-end simulation of the Space Transportation Main Engine (STME) development program, named STESYM. The approach being used to satisfy that requirement incorporates object-oriented programming, discrete-event simulation, and knowledge-based techniques to produce a simulation that captures the technical characteristics of the hardware, the processing flows, and the scheduling requirements. The outputs of the simulation will include subsystem and system reliabilities, process infrastructure statistics, schedule performance statistics, and costs. Together, UNIS and STESYM will provide program managers, engineers, logisticians, and other program participants with communications connectivity and the information to support STME program analysis

    Understanding health information technology adoption: A synthesis of literature from an activity perspective

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    The vast body of literature on health information technology (HIT) adoption features considerably heterogeneous factors and demands for a synthesis of the knowledge in the field. This study employs text mining and network analysis techniques to identify the important concepts and their relationships in the abstracts of 979 articles of HIT adoption. Through the lens of Activity Theory, the revealed concept map of HIT adoption can be viewed as a complex activity system involving different users, technologies and tasks at both the individual level and the social level. Such a synthesis not only discloses the current knowledge domain of HIT adoption, but also provides guidance for future research on HIT adoption

    An Exploratory Study of Hypermedia Support for Problem Decomposition

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    Empirical hypermedia research has concentrated on usability rather than utility, and the research on utility has focused on information access as opposed to problem solving and decision making in organizations. This study, based on problem reduction theory, uses a hypermedia prototype system to support decision processes for solving a financial analysis problem. An exploratory laboratory experiment was conducted to study the feasibility of the prototype for hypermedia support of decision making. The process tracing techniques used suggest that a cognitive map of a decision maker\u27s thought process may be constructed. Results offer a great deal of promise in the use of hypermedia for organizational decision support. The implications of this study for further research are discussed
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