Search (2 results, page 1 of 1)

Benson, A.C.: OntoPhoto and the role of ontology in organizing knowledge (2011) 0.01
```
0.009315886 = product of:
  0.018631771 = sum of:
    0.018631771 = product of:
      0.037263542 = sum of:
        0.037263542 = weight(_text_:libraries in 4556) [ClassicSimilarity], result of:
          0.037263542 = score(doc=4556,freq=2.0), product of:
            0.1711139 = queryWeight, product of:
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.052088603 = queryNorm
            0.2177704 = fieldWeight in 4556, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.046875 = fieldNorm(doc=4556)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
```
Abstract

This article is concerned with ontology and its applications in Knowledge Organization (KO) activities. Connections are drawn between efforts in artificial intelligence (AI) to capture the meaning of information and make it accessible to machines and the efforts made in libraries to use KO tools in machine-based record building and search and retrieval systems. The practices used in AI that are of interest here include ontology and ontology-based knowledge representation. In this article their applications in KO are directed towards a particularly problematic document type-the photograph. There are two arguments motivating this article. First, ontology-based KO systems that join AI techniques with library cataloging practices make it possible to utilize higher levels of expressivity when describing photographs. Second, KO systems for photographs that are capable of reasoning over concepts and relationships can potentially provide richer, more relevant search results than systems utilizing word-matching alone.
Benson, A.C.: Image descriptions and their relational expressions : a review of the literature and the issues (2015) 0.01
```
0.009315886 = product of:
  0.018631771 = sum of:
    0.018631771 = product of:
      0.037263542 = sum of:
        0.037263542 = weight(_text_:libraries in 1867) [ClassicSimilarity], result of:
          0.037263542 = score(doc=1867,freq=2.0), product of:
            0.1711139 = queryWeight, product of:
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.052088603 = queryNorm
            0.2177704 = fieldWeight in 1867, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.046875 = fieldNorm(doc=1867)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
```
Abstract

Purpose - The purpose of this paper is to survey the treatment of relationships, relationship expressions and the ways in which they manifest themselves in image descriptions. Design/methodology/approach - The term "relationship" is construed in the broadest possible way to include spatial relationships ("to the right of"), temporal ("in 1936," "at noon"), meronymic ("part of"), and attributive ("has color," "has dimension"). The intentions of these vaguely delimited categories with image information, image creation, and description in libraries and archives is complex and in need of explanation. Findings - The review brings into question many generally held beliefs about the relationship problem such as the belief that the semantics of relationships are somehow embedded in the relationship term itself and that image search and retrieval solutions can be found through refinement of word-matching systems. Originality/value - This review has no hope of systematically examining all evidence in all disciplines pertaining to this topic. It instead focusses on a general description of a theoretical treatment in Library and Information Science.