Enriched Problem Network as a Core of the Metadata in a Digital Library
Abstract
This issue contributes to advancing of the entity search in problem networks of a digital library. The search is performed manually in a window, that visualizes some kind of knowledge graph, representing the library content involving the relevant metadata. A subset of the graph nodes depicts documents the library contains. The other part of nodes represents technological and scientific problems, being discussed in the documents, phases of problem-solving, sites of publication if any, and authoring. Edges of the graph depict diverse relations of the connected entities. Three levels of the metadata are discernable. The upper level is constituted of clusters built from nodes and edges and corresponding to particular semantic topics recognizable in the library content. The next two levels are of verbal nature. Optional labels of the nodes build the second level of library metadata. The label is a succinct nominative word composition assigned to a node when it was being included into the library. The label assists the entity search that starts from recognizing of clusters upon a cognitive map of their shapes in the user’s memory. The search is continued by moving in the graph space and adjusting the scale. At some scale, the node labels grow visible and amend and rule the search. The third metadata level lies outward of the graph space and is represented by a table. Through selection of a node being of interest, the corresponding table line is displayed, and the user can read full information about the node, such as bibliographic record of the document or problem characterization. This process provides the decisive information for finishing or continuing of the search. In both cases, the user receives full access to the pertinent documents stored in the library by a special browser. Finding of a specific document often appears to be a valuable but not the single outcome of using a library. In multiple cases one turns to a library for observing a collection of sources in some scientific and technological area and get the knowledge in an accumulated and possibly generalized form. An enrichment of the problem network in the core of library metadata is proposed, making the library metadata more informative and hence more suitable for the mode of library application mentioned above. Challenges emerging during the metadata enrichment are considered and corresponding recommendations are formulated. The issue contains a sample of a library collection built pursuant to the given recommendations.
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