357 research outputs found

    A word image coding technique and its applications in information retrieval from imaged documents

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    Master'sMASTER OF SCIENC

    Digital Image Access & Retrieval

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    The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this conference cover a wide range of topics concerning digital imaging technology for visual resource collections. Papers covered three general areas: (1) systems, planning, and implementation; (2) automatic and semi-automatic indexing; and (3) preservation with the bulk of the conference focusing on indexing and retrieval.published or submitted for publicatio

    Handwritten Document Image Retrieval

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    Ph.DDOCTOR OF PHILOSOPH

    Knowledge-based document retrieval with application to TEXPROS

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    Document retrieval in an information system is most often accomplished through keyword search. The common technique behind keyword search is indexing. The major drawback of such a search technique is its lack of effectiveness and accuracy. It is very common in a typical keyword search over the Internet to identify hundreds or even thousands of records as the potentially desired records. However, often few of them are relevant to users\u27 interests. This dissertation presents knowledge-based document retrieval architecture with application to TEXPROS. The architecture is based on a dual document model that consists of a document type hierarchy and, a folder organization. Using the knowledge collected during document filing, the search space can be narrowed down significantly. Combining the classical text-based retrieval methods with the knowledge-based retrieval can improve tremendously both search efficiency and effectiveness. With the proposed predicate-based query language, users can more precisely and accurately specify the search criteria and their knowledge about the documents to be retrieved. To assist users formulate a query, a guided search is presented as part of an intelligent user interface. Supported by an intelligent question generator, an inference engine, a question base, and a predicate-based query composer, the guided search collects the most important information known to the user to retrieve the documents that satisfy users\u27 particular interests. A knowledge-based query processing and search engine is presented as the core component in this architecture. Algorithms are developed for the search engine to effectively and efficiently retrieve the documents that match the query. Cache is introduced to speed up the process of query refinement. Theoretical proof and performance analysis are performed to prove the efficiency and effectiveness of this knowledge-based document retrieval approach

    COSPO/CENDI Industry Day Conference

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    The conference's objective was to provide a forum where government information managers and industry information technology experts could have an open exchange and discuss their respective needs and compare them to the available, or soon to be available, solutions. Technical summaries and points of contact are provided for the following sessions: secure products, protocols, and encryption; information providers; electronic document management and publishing; information indexing, discovery, and retrieval (IIDR); automated language translators; IIDR - natural language capabilities; IIDR - advanced technologies; IIDR - distributed heterogeneous and large database support; and communications - speed, bandwidth, and wireless

    Extraction of textual information from image for information retrieval

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    Ph.DDOCTOR OF PHILOSOPH

    Investigating users’ mental models of traditional and digital libraries

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    There is much HCI-related literature on mental models and on the usability of digital libraries, however there is no previously published literature on users’ mental models of either traditional or digital libraries. This is surprising, since many digital libraries are difficult to use and it is not immediately clear why. Our study begins to fill this void by examining users’ mental models of traditional and digital libraries through a series of Contextual Inquiry interviews that mix traditional think-aloud observations, which usually demand minimal researcher intervention, and semi-structured interviews, which usually demand significant intervention. The study finds that participants’ mental models of traditional and digital libraries extend beyond surface similarities and differences, such as the hierarchical organisation of items in both types of library and the availability of documents in paper and electronic mediums. These models contain deeper similarities and differences based on the information-seeking goals that can be fulfilled by each type of library, issues concerning the contents and relevance of individual documents and entire libraries, and ‘how searching works’ and how to ‘troubleshoot’ in both types of library. Although the use of concrete analogies to influence users’ understanding or usage of digital libraries was not widespread, participants used their knowledge of Internet search engines to infer how searching might work in digital libraries. Additionally, most participants assumed that even if different at the interface level or at the level of the underlying technology employed, the search components of digital libraries, Internet search engines and other digital entities work in a similar way to bring back search results. The study also finds that a large component of users’ mental models of digital libraries is the notion of access restrictions. The insights gained from the observations relating to the above recurring themes in users’ mental models are discussed with a view of helping to improve digital library usability by reducing access restrictions and notifying users of any such restrictions upfront, by providing dynamic and context-dependent help to users, by carefully introducing analogies into the digital library interface (if and where appropriate) and by making multiple digital libraries searchable under a single front-end to enable them to be accessed, browsed and searched in the same way
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