We introduce the notion of semantic components that occur in domain-specific documents, discuss use of semantic components to improve document retrieval in a domain-specific collection, and present the results of two case studies.
Abstract. A digital library typically includes a set of keywords (or subject terms) for each document in its collection(s). For some applications, including natural resource management, geographic location (e.g., the place of a study or a project) is very i mportant. The metadata for such documents needs to indicate the location(s) associated with a document -and users need to be able to search for documents by keyword as well as location. We have developed and implemented a digital library that supports -but does not requiregeoreferenceable documents (i.e., documents with reference to geography through the use of a textual place name). Because of their implicit spatial footprint, place names benefit from spatial reasoning and querying (e.g., to find all documents that describe work performed within a five-mile radius of a certain point) in addition to traditional keyword-based search. This paper presents the architecture for a digital library that combines spatial reasoning and selection with traditional (non-spatial) search. The contributions of this work are: (1) the use of a traditional geographic information system (GIS) for spatial processing rather than a specially tailored GIS system or a separate gazetteer and (2) the seamless integration of GIS with our thesaurus-based Metadata++ system, so users can easily take advantage of the strengths of both systems.
The authors are building a knowledge management system (KMS) for use by several U.S. federal agencies. Its use must harmonize with multiple agency and disciplinary cultures, and also link with the efforts of at least one international agency. In this paper, we present the KMS project's technological contributions and implementation considerations as a case in knowledge management (KM). We link the public-sector case with our assessment of KM's current status and future prospects. We find the challenges for KM's future are in theory, interactivity, integration, the recognition of cultural differences, and the design of marketing programs that respect these differences.
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