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  • × author_ss:"Losee, R."
  1. Losee, R.: Combining high metainformation with high information content : the information-metainformation utility hypothesis (2014) 0.01 
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    Abstract
    Many documents and other informational objects carry both information and metainformation about the original informational object. There are general characteristics for documents or objects that possess either high levels of information and high levels of metainformation, or high levels of information and low levels of metainformation, or low levels of information and high amounts of metainformation, or low amounts of information and low amounts of metainformation. Each of these combinations represents a frequently occurring type of informative object. We suggest an Information-Metainformation Utility hypothesis that predicts that the expected economic value of information and its associated metainformation is proportional to the combined amounts of information and metainformation. The use of rules consistent with this hypothesis is discussed. This may be applied to any situation where there is either information or metainformation that may or may not be acquired or used, along with the expected value of the informative object. The idea of ideological segregation, where people tend to view media that represents their prior political beliefs, is examined in this context.
    Type
    a
  2. Losee, R.: Thesaurus structure, descriptive parameters, and scale (2016) 0.01 
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    Abstract
    A thesaurus contains a set of terms or features that may be used to represent recorded information, including prose documents or scientific data sets. The focus of this work is on the basic structural nature of a thesaurus itself, not on how people develop a thesaurus or how a thesaurus effects retrieval performance. Thesauri in this research are automatically developed in a simulation from sets of randomly or exhaustively generated documents. Each thesaurus is generated by the Thesaurus Generator software from a set of several hundred documents, and thousands of different document sets are used as input to the Thesaurus Generator, producing thousands of thesauri. Thus, thousands of thesauri are generated for each data point in accompanying graphs. The characteristics of this large number of thesauri are studied so that the relationships between thesaurus parameters can be determined. Some rules governing these relationships are suggested, addressing factors such as tree height and width, number of tree roots in thesauri, and number of terms available for the vocabulary. How these parameters scale as vocabularies grow is addressed. These results apply to various information systems that contain features with hierarchical relationships, including many thesauri and ontologies.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.9, S.2156-2165
    Type
    a
  3. Losee, R.: ¬A performance model of the length and number of subject headings and index phrases (2004) 0.00 
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    Abstract
    When assigning subject headings or index terms to a document, how many terms or phrases should be used to represent the document? The contribution of an indexing phrase to locating and ordering documents can be compared to the contribution of a full-text query to finding documents. The length and number of phrases needed to equal the contribution of a full-text query is the subject of this paper. The appropriate number of phrases is determined in part by the length of the phrases. We suggest several rules that may be used to determine how many subject headings should be assigned, given index phrase lengths, and provide a general model for this process. A difference between characteristics of indexing "hard" science and "social" science literature is suggested.
    Type
    a

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