Search (19 results, page 1 of 1)

  • × theme_ss:"Konzeption und Anwendung des Prinzips Thesaurus"
  • × type_ss:"el"
  • × year_i:[2000 TO 2010}
  1. Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001) 0.04
    0.043180898 = product of:
      0.086361796 = sum of:
        0.086361796 = sum of:
          0.011481222 = weight(_text_:a in 3895) [ClassicSimilarity], result of:
            0.011481222 = score(doc=3895,freq=4.0), product of:
              0.053105544 = queryWeight, product of:
                1.153047 = idf(docFreq=37942, maxDocs=44218)
                0.046056706 = queryNorm
              0.2161963 = fieldWeight in 3895, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                1.153047 = idf(docFreq=37942, maxDocs=44218)
                0.09375 = fieldNorm(doc=3895)
          0.07488057 = weight(_text_:22 in 3895) [ClassicSimilarity], result of:
            0.07488057 = score(doc=3895,freq=2.0), product of:
              0.16128273 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046056706 = queryNorm
              0.46428138 = fieldWeight in 3895, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.09375 = fieldNorm(doc=3895)
      0.5 = coord(1/2)
    
    Date
    24. 8.2005 19:20:22
    Type
    a
  2. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.03
    0.034582928 = product of:
      0.069165856 = sum of:
        0.069165856 = sum of:
          0.006765375 = weight(_text_:a in 539) [ClassicSimilarity], result of:
            0.006765375 = score(doc=539,freq=2.0), product of:
              0.053105544 = queryWeight, product of:
                1.153047 = idf(docFreq=37942, maxDocs=44218)
                0.046056706 = queryNorm
              0.12739488 = fieldWeight in 539, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                1.153047 = idf(docFreq=37942, maxDocs=44218)
                0.078125 = fieldNorm(doc=539)
          0.06240048 = weight(_text_:22 in 539) [ClassicSimilarity], result of:
            0.06240048 = score(doc=539,freq=2.0), product of:
              0.16128273 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046056706 = queryNorm
              0.38690117 = fieldWeight in 539, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.078125 = fieldNorm(doc=539)
      0.5 = coord(1/2)
    
    Abstract
    A discussion on current initiatives regarding terminology registries.
    Date
    26.12.2011 13:22:07
  3. Lee, M.; Baillie, S.; Dell'Oro, J.: TML: a Thesaural Markpup Language (200?) 0.00
    0.0030444188 = product of:
      0.0060888375 = sum of:
        0.0060888375 = product of:
          0.012177675 = sum of:
            0.012177675 = weight(_text_:a in 1622) [ClassicSimilarity], result of:
              0.012177675 = score(doc=1622,freq=18.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.22931081 = fieldWeight in 1622, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1622)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Thesauri are used to provide controlled vocabularies for resource classification. Their use can greatly assist document discovery because thesauri man date a consistent shared terminology for describing documents. A particular thesauras classifies documents according to an information community's needs. As a result, there are many different thesaural schemas. This has led to a proliferation of schema-specific thesaural systems. In our research, we exploit schematic regularities to design a generic thesaural ontology and specfiy it as a markup language. The language provides a common representational framework in which to encode the idiosyncrasies of specific thesauri. This approach has several advantages: it offers consistent syntax and semantics in which to express thesauri; it allows general purpose thesaural applications to leverage many thesauri; and it supports a single thesaural user interface by which information communities can consistently organise, score and retrieve electronic documents.
  4. Assem, M. van; Malaisé, V.; Miles, A.; Schreiber, G.: ¬A method to convert thesauri to SKOS (2006) 0.00
    0.0026849252 = product of:
      0.0053698504 = sum of:
        0.0053698504 = product of:
          0.010739701 = sum of:
            0.010739701 = weight(_text_:a in 4642) [ClassicSimilarity], result of:
              0.010739701 = score(doc=4642,freq=14.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.20223314 = fieldWeight in 4642, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4642)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Thesauri can be useful resources for indexing and retrieval on the Semantic Web, but often they are not published in RDF/OWL. To convert thesauri to RDF for use in Semantic Web applications and to ensure the quality and utility of the conversion a structured method is required. Moreover, if different thesauri are to be interoperable without complicated mappings, a standard schema for thesauri is required. This paper presents a method for conversion of thesauri to the SKOS RDF/OWL schema, which is a proposal for such a standard under development by W3Cs Semantic Web Best Practices Working Group. We apply the method to three thesauri: IPSV, GTAA and MeSH. With these case studies we evaluate our method and the applicability of SKOS for representing thesauri.
  5. Fischer, D.H.: Converting a thesaurus to OWL : Notes on the paper "The National Cancer Institute's Thesaurus and Ontology" (2004) 0.00
    0.0026473717 = product of:
      0.0052947435 = sum of:
        0.0052947435 = product of:
          0.010589487 = sum of:
            0.010589487 = weight(_text_:a in 2362) [ClassicSimilarity], result of:
              0.010589487 = score(doc=2362,freq=40.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.19940455 = fieldWeight in 2362, product of:
                  6.3245554 = tf(freq=40.0), with freq of:
                    40.0 = termFreq=40.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=2362)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The paper analysed here is a kind of position paper. In order to get a better under-standing of the reported work I used the retrieval interface of the thesaurus, the so-called NCI DTS Browser accessible via the Web3, and I perused the cited OWL file4 with numerous "Find" and "Find next" string searches. In addition the file was im-ported into Protégé 2000, Release 2.0, with OWL Plugin 1.0 and Racer Plugin 1.7.14. At the end of the paper's introduction the authors say: "In the following sections, this paper will describe the terminology development process at NCI, and the issues associated with converting a description logic based nomenclature to a semantically rich OWL ontology." While I will not deal with the first part, i.e. the terminology development process at NCI, I do not see the thesaurus as a description logic based nomenclature, or its cur-rent state and conversion already result in a "rich" OWL ontology. What does "rich" mean here? According to my view there is a great quantity of concepts and links but a very poor description logic structure which enables inferences. And what does the fol-lowing really mean, which is said a few lines previously: "Although editors have defined a number of named ontologic relations to support the description-logic based structure of the Thesaurus, additional relation-ships are considered for inclusion as required to support dependent applications."
    According to my findings several relations available in the thesaurus query interface as "roles", are not used, i.e. there are not yet any assertions with them. And those which are used do not contribute to complete concept definitions of concepts which represent thesaurus main entries. In other words: The authors claim to already have a "description logic based nomenclature", where there is not yet one which deserves that title by being much more than a thesaurus with strict subsumption and additional inheritable semantic links. In the last section of the paper the authors say: "The most time consuming process in this conversion was making a careful analysis of the Thesaurus to understand the best way to translate it into OWL." "For other conversions, these same types of distinctions and decisions must be made. The expressive power of a proprietary encoding can vary widely from that in OWL or RDF. Understanding the original semantics and engineering a solution that most closely duplicates it is critical for creating a useful and accu-rate ontology." My question is: What decisions were made and are they exemplary, can they be rec-ommended as "the best way"? I raise strong doubts with respect to that, and I miss more profound discussions of the issues at stake. The following notes are dedicated to a critical description and assessment of the results of that conversion activity. They are written in a tutorial style more or less addressing students, but myself being a learner especially in the field of medical knowledge representation I do not speak "ex cathedra".
  6. Quick Guide to Publishing a Thesaurus on the Semantic Web (2008) 0.00
    0.0026473717 = product of:
      0.0052947435 = sum of:
        0.0052947435 = product of:
          0.010589487 = sum of:
            0.010589487 = weight(_text_:a in 4656) [ClassicSimilarity], result of:
              0.010589487 = score(doc=4656,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.19940455 = fieldWeight in 4656, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4656)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This document describes in brief how to express the content and structure of a thesaurus, and metadata about a thesaurus, in RDF. Using RDF allows data to be linked to and/or merged with other RDF data by semantic web applications. The Semantic Web, which is based on the Resource Description Framework (RDF), provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
    Editor
    Miles, A.
  7. Assem, M. van; Gangemi, A.; Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation (2006) 0.00
    0.0024857575 = product of:
      0.004971515 = sum of:
        0.004971515 = product of:
          0.00994303 = sum of:
            0.00994303 = weight(_text_:a in 4641) [ClassicSimilarity], result of:
              0.00994303 = score(doc=4641,freq=12.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.18723148 = fieldWeight in 4641, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4641)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This paper presents an overview of the work in progress at the W3C to produce a standard conversion of WordNet to the RDF/OWL representation language in use in the SemanticWeb community. Such a standard representation is useful to provide application developers a high-quality resource and to promote interoperability. Important requirements in this conversion process are that it should be complete and should stay close to WordNet's conceptual model. The paper explains the steps taken to produce the conversion and details design decisions such as the composition of the class hierarchy and properties, the addition of suitable OWL semantics and the chosen format of the URIs. Additional topics include a strategy to incorporate OWL and RDFS semantics in one schema such that both RDF(S) infrastructure and OWL infrastructure can interpret the information correctly, problems encountered in understanding the Prolog source files and the description of the two versions that are provided (Basic and Full) to accommodate different usages of WordNet.
  8. Kless, D.: From a thesaurus standard to a general knowledge organization standard?! (2007) 0.00
    0.0023919214 = product of:
      0.0047838427 = sum of:
        0.0047838427 = product of:
          0.009567685 = sum of:
            0.009567685 = weight(_text_:a in 528) [ClassicSimilarity], result of:
              0.009567685 = score(doc=528,freq=4.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.18016359 = fieldWeight in 528, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.078125 = fieldNorm(doc=528)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
  9. Will, L.D.: UML model : as given in British Standard Draft for Development DD8723-5:2008 (2008) 0.00
    0.0023678814 = product of:
      0.0047357627 = sum of:
        0.0047357627 = product of:
          0.009471525 = sum of:
            0.009471525 = weight(_text_:a in 7636) [ClassicSimilarity], result of:
              0.009471525 = score(doc=7636,freq=2.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.17835285 = fieldWeight in 7636, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.109375 = fieldNorm(doc=7636)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Type
    a
  10. Dextre Clarke, S.G.; Will, L.D.; Cochard, N.: ¬The BS8723 thesaurus data model and exchange format, and its relationship to SKOS (2008) 0.00
    0.0023678814 = product of:
      0.0047357627 = sum of:
        0.0047357627 = product of:
          0.009471525 = sum of:
            0.009471525 = weight(_text_:a in 6051) [ClassicSimilarity], result of:
              0.009471525 = score(doc=6051,freq=2.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.17835285 = fieldWeight in 6051, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.109375 = fieldNorm(doc=6051)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Type
    a
  11. Assem, M. van; Menken, M.R.; Schreiber, G.; Wielemaker, J.; Wielinga, B.: ¬A method for converting thesauri to RDF/OWL (2004) 0.00
    0.0023678814 = product of:
      0.0047357627 = sum of:
        0.0047357627 = product of:
          0.009471525 = sum of:
            0.009471525 = weight(_text_:a in 4644) [ClassicSimilarity], result of:
              0.009471525 = score(doc=4644,freq=8.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.17835285 = fieldWeight in 4644, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4644)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This paper describes a method for converting existing thesauri and related resources from their native format to RDF(S) and OWL. The method identifies four steps in the conversion process. In each step, decisions have to be taken with respect to the syntax or semantics of the resulting representation. Each step is supported through a number of guidelines. The method is illustrated through conversions of two large thesauri: MeSH and WordNet.
    Type
    a
  12. Doerr, M.: Semantic problems of thesaurus mapping (2001) 0.00
    0.0020714647 = product of:
      0.0041429293 = sum of:
        0.0041429293 = product of:
          0.008285859 = sum of:
            0.008285859 = weight(_text_:a in 5902) [ClassicSimilarity], result of:
              0.008285859 = score(doc=5902,freq=12.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.15602624 = fieldWeight in 5902, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5902)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    With networked information access to heterogeneous data sources, the problem of terminology provision and interoperability of controlled vocabulary schemes such as thesauri becomes increasingly urgent. Solutions are needed to improve the performance of full-text retrieval systems and to guide the design of controlled terminology schemes for use in structured data, including metadata. Thesauri are created in different languages, with different scope and points of view and at different levels of abstraction and detail, to accomodate access to a specific group of collections. In any wider search accessing distributed collections, the user would like to start with familiar terminology and let the system find out the correspondences to other terminologies in order to retrieve equivalent results from all addressed collections. This paper investigates possible semantic differences that may hinder the unambiguous mapping and transition from one thesaurus to another. It focusses on the differences of meaning of terms and their relations as intended by their creators for indexing and querying a specific collection, in contrast to methods investigating the statistical relevance of terms for objects in a collection. It develops a notion of optimal mapping, paying particular attention to the intellectual quality of mappings between terms from different vocabularies and to problems of polysemy. Proposals are made to limit the vagueness introduced by the transition from one vocabulary to another. The paper shows ways in which thesaurus creators can improve their methodology to meet the challenges of networked access of distributed collections created under varying conditions. For system implementers, the discussion will lead to a better understanding of the complexity of the problem
    Type
    a
  13. Tudhope, D.; Alani, H.; Jones, C.: Augmenting thesaurus relationships : possibilities for retrieval (2001) 0.00
    0.0020714647 = product of:
      0.0041429293 = sum of:
        0.0041429293 = product of:
          0.008285859 = sum of:
            0.008285859 = weight(_text_:a in 1520) [ClassicSimilarity], result of:
              0.008285859 = score(doc=1520,freq=12.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.15602624 = fieldWeight in 1520, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1520)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This paper discusses issues concerning the augmentation of thesaurus relationships, in light of new application possibilities for retrieval. We first discuss a case study that explored the retrieval potential of an augmented set of thesaurus relationships by specialising standard relationships into richer subtypes, in particular hierarchical geographical containment and the associative relationship. We then locate this work in a broader context by reviewing various attempts to build taxonomies of thesaurus relationships, and conclude by discussing the feasibility of hierarchically augmenting the core set of thesaurus relationships, particularly the associative relationship. We discuss the possibility of enriching the specification and semantics of Related Term (RT relationships), while maintaining compatibility with traditional thesauri via a limited hierarchical extension of the associative (and hierarchical) relationships. This would be facilitated by distinguishing the type of term from the (sub)type of relationship and explicitly specifying semantic categories for terms following a faceted approach. We first illustrate how hierarchical spatial relationships can be used to provide more flexible retrieval for queries incorporating place names in applications employing online gazetteers and geographical thesauri. We then employ a set of experimental scenarios to investigate key issues affecting use of the associative (RT) thesaurus relationships in semantic distance measures. Previous work has noted the potential of RTs in thesaurus search aids but also the problem of uncontrolled expansion of query term sets. Results presented in this paper suggest the potential for taking account of the hierarchical context of an RT link and specialisations of the RT relationship
    Type
    a
  14. Thesaurus software (2001) 0.00
    0.0020506454 = product of:
      0.004101291 = sum of:
        0.004101291 = product of:
          0.008202582 = sum of:
            0.008202582 = weight(_text_:a in 6773) [ClassicSimilarity], result of:
              0.008202582 = score(doc=6773,freq=6.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.1544581 = fieldWeight in 6773, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=6773)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Members offer comments and suggest resources on programs for creating, maintaining, and publishing thesauri. Formerly a tool for writers and indexers, the thesaurus has taken on a new role as an essential component of the corporate information infrastructure. Many people are using word processor or database programs to create and maintain thesauri, while others are using specialized tools that perform consistency checks and offer special reporting capabilities. Some also use thesaurus modules integrated into another application, such as web publishing, content management, or e-commerce. This article includes material comes from our own experience, email responses from members, and comments from participants in our seminars and roundtables. There's also an introduction to thesauri in a corporate information management system
  15. Ermert, A.; Stein, R.: ¬Das Portal museumsvokabular.de für kontrolliertes Vokabular (2006) 0.00
    0.0020296127 = product of:
      0.0040592253 = sum of:
        0.0040592253 = product of:
          0.008118451 = sum of:
            0.008118451 = weight(_text_:a in 2831) [ClassicSimilarity], result of:
              0.008118451 = score(doc=2831,freq=2.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.15287387 = fieldWeight in 2831, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.09375 = fieldNorm(doc=2831)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
  16. Dextre Clarke, S.G.: Overview of ISO NP 25964 : structured vocabularies for information retrieval (2007) 0.00
    0.0020296127 = product of:
      0.0040592253 = sum of:
        0.0040592253 = product of:
          0.008118451 = sum of:
            0.008118451 = weight(_text_:a in 535) [ClassicSimilarity], result of:
              0.008118451 = score(doc=535,freq=8.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.15287387 = fieldWeight in 535, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=535)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    ISO 2788 and ISO 5964, the international standards for monolingual and multilingual thesauri respectively dated 1986 and 1985, are very much in need of revision. A proposal to revise them was recently approved by the relevant subcommittee, ISO TC46/SC9. The work will be based on BS 8723, a five part standard of which Parts 1 and 2 were published in 2005, Parts 3 and 4 are scheduled for publication in 2007, and Part 5 is still in draft. This subsession will address aspects of the whole revision project. It is conceived as a panel session starting with a brief overview from the project leader. Then there are three presentations of 15 minutes, plus 5 minutes each for specific questions. At the end we have 20 minutes for questions to any or all of the panel, and discussion of issues from the workshop participants.
  17. Hill, L.: New Protocols for Gazetteer and Thesaurus Services (2002) 0.00
    0.0017899501 = product of:
      0.0035799001 = sum of:
        0.0035799001 = product of:
          0.0071598003 = sum of:
            0.0071598003 = weight(_text_:a in 1206) [ClassicSimilarity], result of:
              0.0071598003 = score(doc=1206,freq=14.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.13482209 = fieldWeight in 1206, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.03125 = fieldNorm(doc=1206)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The Alexandria Digital Library Project announces the online publication of two protocols to support querying and response interactions using distributed services: one for gazetteers and one for thesauri. These protocols have been developed for our own purposes and also to support the general interoperability of gazetteers and thesauri on the web. See <http://www.alexandria.ucsb.edu/~gjanee/gazetteer/> and <http://www.alexandria.ucsb.edu/~gjanee/thesaurus/>. For the gazetteer protocol, we have provided a page of test forms that can be used to experiment with the operational functions of the protocol in accessing two gazetteers: the ADL Gazetteer and the ESRI Gazetteer (ESRI has participated in the development of the gazetteer protocol). We are in the process of developing a thesaurus server and a simple client to demonstrate the use of the thesaurus protocol. We are soliciting comments on both protocols. Please remember that we are seeking protocols that are essentially "simple" and easy to implement and that support basic operations - they should not duplicate all of the functions of specialized gazetteer and thesaurus interfaces. We continue to discuss ways of handling various issues and to further develop the protocols. For the thesaurus protocol, outstanding issues include the treatment of multilingual thesauri and the degree to which the language attribute should be supported; whether the Scope Note element should be changed to a repeatable Note element; the best way to handle the hierarchical report for multi-hierarchies where portions of the hierarchy are repeated; and whether support for searching by term identifiers is redundant and unnecessary given that the terms themselves are unique within a thesaurus. For the gazetteer protocol, we continue to work on validation of query and report XML documents and on implementing the part of the protocol designed to support the submission of new entries to a gazetteer. We would like to encourage open discussion of these protocols through the NKOS discussion list (see the NKOS webpage at <http://nkos.slis.kent.edu/>) and the CGGR-L discussion list that focuses on gazetteer development (see ADL Gazetteer Development page at <http://www.alexandria.ucsb.edu/gazetteer>).
    Type
    a
  18. Cochard, N.: ¬A data model and XML schema for BS 8723-5 (2007) 0.00
    0.0016913437 = product of:
      0.0033826875 = sum of:
        0.0033826875 = product of:
          0.006765375 = sum of:
            0.006765375 = weight(_text_:a in 532) [ClassicSimilarity], result of:
              0.006765375 = score(doc=532,freq=2.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.12739488 = fieldWeight in 532, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.078125 = fieldNorm(doc=532)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
  19. Cazan, C.: Medizinische Ontologien : das Ende des MeSH (2006) 0.00
    6.765375E-4 = product of:
      0.001353075 = sum of:
        0.001353075 = product of:
          0.00270615 = sum of:
            0.00270615 = weight(_text_:a in 132) [ClassicSimilarity], result of:
              0.00270615 = score(doc=132,freq=2.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.050957955 = fieldWeight in 132, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.03125 = fieldNorm(doc=132)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Type
    a