Search (116 results, page 1 of 6)

  • × language_ss:"e"
  • × theme_ss:"Semantische Interoperabilität"
  • × year_i:[2010 TO 2020}
  1. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.02 
    0.023484759 = product of:
  0.07045428 = sum of:
    0.07045428 = sum of:
      0.020087399 = weight(_text_:of in 1967) [ClassicSimilarity], result of:
        0.020087399 = score(doc=1967,freq=16.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.2932045 = fieldWeight in 1967, product of:
            4.0 = tf(freq=16.0), with freq of:
              16.0 = termFreq=16.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.046875 = fieldNorm(doc=1967)
      0.05036688 = weight(_text_:22 in 1967) [ClassicSimilarity], result of:
        0.05036688 = score(doc=1967,freq=4.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.32829654 = fieldWeight in 1967, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=1967)
  0.33333334 = coord(1/3)
    Abstract
    This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  2. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2014) 0.02 
    0.019570632 = product of:
  0.058711894 = sum of:
    0.058711894 = sum of:
      0.016739499 = weight(_text_:of in 1962) [ClassicSimilarity], result of:
        0.016739499 = score(doc=1962,freq=16.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.24433708 = fieldWeight in 1962, product of:
            4.0 = tf(freq=16.0), with freq of:
              16.0 = termFreq=16.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1962)
      0.041972395 = weight(_text_:22 in 1962) [ClassicSimilarity], result of:
        0.041972395 = score(doc=1962,freq=4.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.27358043 = fieldWeight in 1962, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1962)
  0.33333334 = coord(1/3)
    Abstract
    This article reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The article discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and/or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the Dewey Decimal Classification [DDC] (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  3. Boteram, F.; Hubrich, J.: Specifying intersystem relations : requirements, strategies, and issues (2010) 0.02 
    0.019357719 = product of:
  0.058073156 = sum of:
    0.058073156 = sum of:
      0.022458395 = weight(_text_:of in 3691) [ClassicSimilarity], result of:
        0.022458395 = score(doc=3691,freq=20.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.32781258 = fieldWeight in 3691, product of:
            4.472136 = tf(freq=20.0), with freq of:
              20.0 = termFreq=20.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.046875 = fieldNorm(doc=3691)
      0.03561476 = weight(_text_:22 in 3691) [ClassicSimilarity], result of:
        0.03561476 = score(doc=3691,freq=2.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.23214069 = fieldWeight in 3691, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=3691)
  0.33333334 = coord(1/3)
    Abstract
    Ideally, intersystem relations complement highly expressive and thoroughly structured relational indexing languages. The relational structures of the participating systems contribute to the meaning of the individual terms or classes. When conceptualizing mapping relations the structural and functional design of the respective systems must be fully taken into account. As intersystem relations may differ considerably from familiar interconcept relations, the creation of an adequate inventory that is general in coverage and specific in depth demands a deep understanding of the requirements and properties of mapping relations. The characteristics of specific mapping relations largely rely on the characteristics of the systems they are intended to connect. The detailed declaration of differences and peculiarities of specific mapping relations is an important prerequisite for modelling these relations. First approaches towards specifying
    Date
    22. 7.2010 17:11:51
  4. Golub, K.; Tudhope, D.; Zeng, M.L.; Zumer, M.: Terminology registries for knowledge organization systems : functionality, use, and attributes (2014) 0.02 
    0.019357719 = product of:
  0.058073156 = sum of:
    0.058073156 = sum of:
      0.022458395 = weight(_text_:of in 1347) [ClassicSimilarity], result of:
        0.022458395 = score(doc=1347,freq=20.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.32781258 = fieldWeight in 1347, product of:
            4.472136 = tf(freq=20.0), with freq of:
              20.0 = termFreq=20.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.046875 = fieldNorm(doc=1347)
      0.03561476 = weight(_text_:22 in 1347) [ClassicSimilarity], result of:
        0.03561476 = score(doc=1347,freq=2.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.23214069 = fieldWeight in 1347, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=1347)
  0.33333334 = coord(1/3)
    Abstract
    Terminology registries (TRs) are a crucial element of the infrastructure required for resource discovery services, digital libraries, Linked Data, and semantic interoperability generally. They can make the content of knowledge organization systems (KOS) available both for human and machine access. The paper describes the attributes and functionality for a TR, based on a review of published literature, existing TRs, and a survey of experts. A domain model based on user tasks is constructed and a set of core metadata elements for use in TRs is proposed. Ideally, the TR should allow searching as well as browsing for a KOS, matching a user's search while also providing information about existing terminology services, accessible to both humans and machines. The issues surrounding metadata for KOS are also discussed, together with the rationale for different aspects and the importance of a core set of KOS metadata for future machine-based access; a possible core set of metadata elements is proposed. This is dealt with in terms of practical experience and in relation to the Dublin Core Application Profile.
    Date
    22. 8.2014 17:12:54
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1901-1916
  5. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.02 
    0.016612062 = product of:
  0.049836185 = sum of:
    0.049836185 = sum of:
      0.00828563 = weight(_text_:of in 3283) [ClassicSimilarity], result of:
        0.00828563 = score(doc=3283,freq=2.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.120940685 = fieldWeight in 3283, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.0546875 = fieldNorm(doc=3283)
      0.041550554 = weight(_text_:22 in 3283) [ClassicSimilarity], result of:
        0.041550554 = score(doc=3283,freq=2.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.2708308 = fieldWeight in 3283, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0546875 = fieldNorm(doc=3283)
  0.33333334 = coord(1/3)
    Abstract
    This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in Göttingen, Germany, in November 2016. The 26 full papers and 6 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in several sessions and tracks: Digital Libraries, Information Retrieval, Linked and Social Data, Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures, Metadata and Semantics for Agriculture, Food and Environment, Metadata and Semantics for Cultural Collections and Applications, European and National Projects.
  6. Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014) 0.02 
    0.015219486 = product of:
  0.045658458 = sum of:
    0.045658458 = sum of:
      0.010043699 = weight(_text_:of in 1421) [ClassicSimilarity], result of:
        0.010043699 = score(doc=1421,freq=4.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.14660224 = fieldWeight in 1421, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.046875 = fieldNorm(doc=1421)
      0.03561476 = weight(_text_:22 in 1421) [ClassicSimilarity], result of:
        0.03561476 = score(doc=1421,freq=2.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.23214069 = fieldWeight in 1421, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=1421)
  0.33333334 = coord(1/3)
    Abstract
    To make better use of knowledge organization systems (KOS) for query expansion, we have developed a pattern-based technique for composition ontology mapping in a specific domain. The technique was tested in a two-step mapping. The user's free-text queries were first mapped to Getty's Art & Architecture Thesaurus (AAT) terms. The AAT-based queries were then mapped to a search engine's indexing vocabulary (ARTstor terms). The result indicated that our technique has improved the mapping success rate from 40% to 70%. We discuss also how the technique may be applied to other KOS mapping and how it may be implemented in practical systems.
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  7. Concepts in Context : Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010 (2011) 0.01 
    0.014725267 = product of:
  0.0441758 = sum of:
    0.0441758 = sum of:
      0.014496832 = weight(_text_:of in 628) [ClassicSimilarity], result of:
        0.014496832 = score(doc=628,freq=12.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.21160212 = fieldWeight in 628, product of:
            3.4641016 = tf(freq=12.0), with freq of:
              12.0 = termFreq=12.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.0390625 = fieldNorm(doc=628)
      0.029678967 = weight(_text_:22 in 628) [ClassicSimilarity], result of:
        0.029678967 = score(doc=628,freq=2.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.19345059 = fieldWeight in 628, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=628)
  0.33333334 = coord(1/3)
    Content
    Winfried Gödert: Programmatic Issues and Introduction - Dagobert Soergel: Conceptual Foundations for Semantic Mapping and Semantic Search - Jan-Helge Jacobs, Tina Mengel, Katrin Müller: Insights and Outlooks: A Retrospective View on the CrissCross Project - Yvonne Jahns, Helga Karg: Translingual Retrieval: Moving between Vocabularies - MACS 2010 - Jessica Hubrich: Intersystem Relations: Characteristics and Functionalities - Stella G Dextre Clarke: In Pursuit of Interoperability: Can We Standardize Mapping Types? - Philipp Mayr, Philipp Schaer, Peter Mutschke: A Science Model Driven Retrieval Prototype - Claudia Effenberger, Julia Hauser: Would an Explicit Versioning of the DDC Bring Advantages for Retrieval? - Gordon Dunsire: Interoperability and Semantics in RDF Representations of FRBR, FRAD and FRSAD - Maja Zumer: FRSAD: Challenges of Modeling the Aboutness - Michael Panzer: Two Tales of a Concept: Aligning FRSAD with SKOS - Felix Boteram: Integrating Semantic Interoperability into FRSAD
    Date
    22. 2.2013 11:34:18
  8. Dunsire, G.; Nicholson, D.: Signposting the crossroads : terminology Web services and classification-based interoperability (2010) 0.01 
    0.014304235 = product of:
  0.042912703 = sum of:
    0.042912703 = sum of:
      0.013233736 = weight(_text_:of in 4066) [ClassicSimilarity], result of:
        0.013233736 = score(doc=4066,freq=10.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.19316542 = fieldWeight in 4066, product of:
            3.1622777 = tf(freq=10.0), with freq of:
              10.0 = termFreq=10.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4066)
      0.029678967 = weight(_text_:22 in 4066) [ClassicSimilarity], result of:
        0.029678967 = score(doc=4066,freq=2.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.19345059 = fieldWeight in 4066, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4066)
  0.33333334 = coord(1/3)
    Abstract
    The focus of this paper is the provision of terminology- and classification-based terminologies interoperability data via web services, initially using interoperability data based on the use of a Dewey Decimal Classification (DDC) spine, but with an aim to explore other possibilities in time, including the use of other spines. The High-Level Thesaurus Project (HILT) Phase IV developed pilot web services based on SRW/U, SOAP, and SKOS to deliver machine-readable terminology and crossterminology mappings data likely to be useful to information services wishing to enhance their subject search or browse services. It also developed an associated toolkit to help information services technical staff to embed HILT-related functionality within service interfaces. Several UK information services have created illustrative user interface enhancements using HILT functionality and these will demonstrate what is possible. HILT currently has the following subject schemes mounted and available: DDC, CAB, GCMD, HASSET, IPSV, LCSH, MeSH, NMR, SCAS, UNESCO, and AAT. It also has high level mappings between some of these schemes and DDC and some deeper pilot mappings available.
    Date
    6. 1.2011 19:22:48
  9. Gracy, K.F.; Zeng, M.L.; Skirvin, L.: Exploring methods to improve access to Music resources by aligning library Data with Linked Data : a report of methodologies and preliminary findings (2013) 0.01 
    0.013604727 = product of:
  0.04081418 = sum of:
    0.04081418 = sum of:
      0.017071007 = weight(_text_:of in 1096) [ClassicSimilarity], result of:
        0.017071007 = score(doc=1096,freq=26.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.2491759 = fieldWeight in 1096, product of:
            5.0990195 = tf(freq=26.0), with freq of:
              26.0 = termFreq=26.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.03125 = fieldNorm(doc=1096)
      0.023743173 = weight(_text_:22 in 1096) [ClassicSimilarity], result of:
        0.023743173 = score(doc=1096,freq=2.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.15476047 = fieldWeight in 1096, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=1096)
  0.33333334 = coord(1/3)
    Abstract
    As a part of a research project aiming to connect library data to the unfamiliar data sets available in the Linked Data (LD) community's CKAN Data Hub (thedatahub.org), this project collected, analyzed, and mapped properties used in describing and accessing music recordings, scores, and music-related information used by selected music LD data sets, library catalogs, and various digital collections created by libraries and other cultural institutions. This article reviews current efforts to connect music data through the Semantic Web, with an emphasis on the Music Ontology (MO) and ontology alignment approaches; it also presents a framework for understanding the life cycle of a musical work, focusing on the central activities of composition, performance, and use. The project studied metadata structures and properties of 11 music-related LD data sets and mapped them to the descriptions commonly used in the library cataloging records for sound recordings and musical scores (including MARC records and their extended schema.org markup), and records from 20 collections of digitized music recordings and scores (featuring a variety of metadata structures). The analysis resulted in a set of crosswalks and a unified crosswalk that aligns these properties. The paper reports on detailed methodologies used and discusses research findings and issues. Topics of particular concern include (a) the challenges of mapping between the overgeneralized descriptions found in library data and the specialized, music-oriented properties present in the LD data sets; (b) the hidden information and access points in library data; and (c) the potential benefits of enriching library data through the mapping of properties found in library catalogs to similar properties used by LD data sets.
    Date
    28.10.2013 17:22:17
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.2078-2099
  10. Euzenat, J.; Shvaiko, P.: Ontology matching (2010) 0.01 
    0.011780213 = product of:
  0.035340637 = sum of:
    0.035340637 = sum of:
      0.011597466 = weight(_text_:of in 168) [ClassicSimilarity], result of:
        0.011597466 = score(doc=168,freq=12.0), product of:
          0.06850986 = queryWeight, product of:
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.043811057 = queryNorm
          0.16928169 = fieldWeight in 168, product of:
            3.4641016 = tf(freq=12.0), with freq of:
              12.0 = termFreq=12.0
            1.5637573 = idf(docFreq=25162, maxDocs=44218)
            0.03125 = fieldNorm(doc=168)
      0.023743173 = weight(_text_:22 in 168) [ClassicSimilarity], result of:
        0.023743173 = score(doc=168,freq=2.0), product of:
          0.15341885 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.043811057 = queryNorm
          0.15476047 = fieldWeight in 168, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=168)
  0.33333334 = coord(1/3)
    Abstract
    Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more. Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence. With Ontology Matching, researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.
    Date
    20. 6.2012 19:08:22
  11. Celli, F. et al.: Enabling multilingual search through controlled vocabularies : the AGRIS approach (2016) 0.01 
    0.009892989 = product of:
  0.029678967 = sum of:
    0.029678967 = product of:
      0.059357934 = sum of:
        0.059357934 = weight(_text_:22 in 3278) [ClassicSimilarity], result of:
          0.059357934 = score(doc=3278,freq=2.0), product of:
            0.15341885 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043811057 = queryNorm
            0.38690117 = fieldWeight in 3278, 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=3278)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  12. Andrade, J. de; Lopes Ginez de Lara, M.: Interoperability and mapping between knowledge organization systems : metathesaurus - Unified Medical Language System of the National Library of Medicine (2016) 0.00 
    0.004428855 = product of:
  0.013286565 = sum of:
    0.013286565 = product of:
      0.02657313 = sum of:
        0.02657313 = weight(_text_:of in 2826) [ClassicSimilarity], result of:
          0.02657313 = score(doc=2826,freq=28.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.38787308 = fieldWeight in 2826, product of:
              5.2915025 = tf(freq=28.0), with freq of:
                28.0 = termFreq=28.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=2826)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    This paper is aimed at assessing the potential of interoperable knowledge organization systems to respond to search strategies in order to retrieve information from databases in the areas of health and biomedicine. An analysis was done on the semantic consistency of synonym grouping of a term selected from the Metathesaurus, the Unified Medical Language System of the National Library of Medicine, based on the characteristics of equivalence proposed in ISO 25964: 2: 2011 and based on the following categories: semantic, morphological, syntactic and typographical variations. This paper highlights the importance of understanding the results of automatic mapping as well as the need for characterization, evaluation and selection of equivalences for preparation of consistent search strategies and presentation of search results in scientific work methodologies.
  13. Khiat, A.; Benaissa, M.: Approach for instance-based ontology alignment : using argument and event structures of generative lexicon (2014) 0.00 
    0.004267752 = product of:
  0.012803256 = sum of:
    0.012803256 = product of:
      0.025606511 = sum of:
        0.025606511 = weight(_text_:of in 1577) [ClassicSimilarity], result of:
          0.025606511 = score(doc=1577,freq=26.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.37376386 = fieldWeight in 1577, product of:
              5.0990195 = tf(freq=26.0), with freq of:
                26.0 = termFreq=26.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=1577)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Ontology alignment became a very important problem to ensure semantic interoperability for different sources of information heterogeneous and distributed. Instance-based ontology alignment represents a very promising technique to find semantic correspondences between entities of different ontologies when they contain a lot of instances. In this paper, we describe a new approach to manage ontologies that do not share common instances.This approach extracts the argument and event structures from a set of instances of the concept of the source ontology and compared them with other semantic features extracted from a set of instances of the concept of the target ontology using Generative Lexicon Theory. We show that it is theoretically powerful because it is based on linguistic semantics and useful in practice. We present the experimental results obtained by running our approach on Biblio test of Benchmark series of OAEI 2011. The results show the good performance of our approach.
  14. Euzenat, J.; Meilicke, C.; Stuckenschmidt, H.; Shvaiko, P.; Trojahn, C.: Ontology alignment evaluation initiative : six years of experience (2011) 0.00 
    0.0040669674 = product of:
  0.012200902 = sum of:
    0.012200902 = product of:
      0.024401804 = sum of:
        0.024401804 = weight(_text_:of in 161) [ClassicSimilarity], result of:
          0.024401804 = score(doc=161,freq=34.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.35617945 = fieldWeight in 161, product of:
              5.8309517 = tf(freq=34.0), with freq of:
                34.0 = termFreq=34.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=161)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    In the area of semantic technologies, benchmarking and systematic evaluation is not yet as established as in other areas of computer science, e.g., information retrieval. In spite of successful attempts, more effort and experience are required in order to achieve such a level of maturity. In this paper, we report results and lessons learned from the Ontology Alignment Evaluation Initiative (OAEI), a benchmarking initiative for ontology matching. The goal of this work is twofold: on the one hand, we document the state of the art in evaluating ontology matching methods and provide potential participants of the initiative with a better understanding of the design and the underlying principles of the OAEI campaigns. On the other hand, we report experiences gained in this particular area of semantic technologies to potential developers of benchmarking for other kinds of systems. For this purpose, we describe the evaluation design used in the OAEI campaigns in terms of datasets, evaluation criteria and workflows, provide a global view on the results of the campaigns carried out from 2005 to 2010 and discuss upcoming trends, both specific to ontology matching and generally relevant for the evaluation of semantic technologies. Finally, we argue that there is a need for a further automation of benchmarking to shorten the feedback cycle for tool developers.
  15. Gemberling, T.: Thema and FRBR's third group (2010) 0.00 
    0.003925761 = product of:
  0.011777283 = sum of:
    0.011777283 = product of:
      0.023554565 = sum of:
        0.023554565 = weight(_text_:of in 4158) [ClassicSimilarity], result of:
          0.023554565 = score(doc=4158,freq=22.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.34381276 = fieldWeight in 4158, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=4158)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    The treatment of subjects by Functional Requirements for Bibliographic Records (FRBR) has attracted less attention than some of its other aspects, but there seems to be a general consensus that it needs work. While some have proposed elaborating its subject categories-concepts, objects, events, and places-to increase their semantic complexity, a working group of the International Federation of Library Associations and Institutions (IFLA) has recently made a promising proposal that essentially bypasses those categories in favor of one entity, thema. This article gives an overview of the proposal and discusses its relevance to another difficult problem, ambiguities in the establishment of headings for buildings.Use of dynamic links from subject-based finding aids to records for electronic resources in the OPAC is suggested as one method for by-passing the OPAC search interface, thus making the library's electronic resources more accessible. This method simplifies maintenance of links to electronic resources and aids instruction by providing a single, consistent access point to them. Results of a usage study from before and after this project was completed show a consistent, often dramatic increase in use of the library's electronic resources.
  16. Jia, J.; Zhao, J.: Mapping analysis of pre-coordinated classes in DDC and CLC (2015) 0.00 
    0.003925761 = product of:
  0.011777283 = sum of:
    0.011777283 = product of:
      0.023554565 = sum of:
        0.023554565 = weight(_text_:of in 2373) [ClassicSimilarity], result of:
          0.023554565 = score(doc=2373,freq=22.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.34381276 = fieldWeight in 2373, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=2373)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    The purpose of this paper is to examine how complexities of pre-coordinated classes can influence mapping quality. Though various kinds of mappings among vocabularies have been achieved and applied, there is little research directly pointing out the problems that hinder the mapping quality. This paper focuses on the relationship between the grammatical forms of pre-coordinated classes and semantic mapping quality, in order to provide useful assistance to the setting and mapping of complex concepts in knowledge organization systems. A review of the literature on vocabulary interoperability and an empirical study of pre-coordinated classes in Dewey Decimal Classification (DDC) and Chinese Library Classification (CLC) are presented. As research objects, the authors have selected two main classes, mathematics and astronomy, in both DDC and CLC. Distributions in the selected classes are described based on the definition and division of pre-coordinated classes. We conclude that the high proportion of pre-coordinated classes in both DDC and CLC greatly increase the difficulty of achieving mapping quality.
  17. Hubrich, J.: Intersystem relations : Characteristics and functionalities (2011) 0.00 
    0.003865822 = product of:
  0.011597466 = sum of:
    0.011597466 = product of:
      0.023194931 = sum of:
        0.023194931 = weight(_text_:of in 4780) [ClassicSimilarity], result of:
          0.023194931 = score(doc=4780,freq=12.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.33856338 = fieldWeight in 4780, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0625 = fieldNorm(doc=4780)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Within the frame of the methodological support of the CrissCross project and the research conducted in the Reseda project, a tiered model of semantic interoperability was developed. This correlates methods of establishing semantic interoperability and types of intersystem relations to search functionalities in retrieval scenarios. In this article the model is outlined and exemplified with reference to respective selective alignment projects.
    Source
    Concepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010. Eds.: F. Boteram, W. Gödert u. J. Hubrich
  18. Giunchiglia, F.; Maltese, V.; Dutta, B.: Domains and context : first steps towards managing diversity in knowledge (2011) 0.00 
    0.0038202507 = product of:
  0.011460752 = sum of:
    0.011460752 = product of:
      0.022921504 = sum of:
        0.022921504 = weight(_text_:of in 603) [ClassicSimilarity], result of:
          0.022921504 = score(doc=603,freq=30.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.33457235 = fieldWeight in 603, product of:
              5.477226 = tf(freq=30.0), with freq of:
                30.0 = termFreq=30.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=603)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Despite the progress made, one of the main barriers towards the use of semantics is the lack of background knowledge. Dealing with this problem has turned out to be a very difficult task because on the one hand the background knowledge should be very large and virtually unbound and, on the other hand, it should be context sensitive and able to capture the diversity of the world, for instance in terms of language and knowledge. Our proposed solution consists in addressing the problem in three steps: (1) create an extensible diversity-aware knowledge base providing a continuously growing quantity of properly organized knowledge; (2) given the problem, build at run-time the proper context within which perform the reasoning; (3) solve the problem. Our work is based on two key ideas. The first is that of using domains, i.e. a general semantic-aware methodology and technique for structuring the background knowledge. The second is that of building the context of reasoning by a suitable combination of domains. Our goal in this paper is to introduce the overall approach, show how it can be applied to an important use case, i.e. the matching of classifications, and describe our first steps towards the construction of a large scale diversity-aware knowledge base.
    Content
    Also in: Journal of Web Semantics, special issue on Reasoning with Context in the Semantic Web, April 2012.
    Imprint
    Trento : University of Trento / Department of Information engineering and Computer Science
  19. Ledl, A.: Demonstration of the BAsel Register of Thesauri, Ontologies & Classifications (BARTOC) (2015) 0.00 
    0.003743066 = product of:
  0.0112291975 = sum of:
    0.0112291975 = product of:
      0.022458395 = sum of:
        0.022458395 = weight(_text_:of in 2038) [ClassicSimilarity], result of:
          0.022458395 = score(doc=2038,freq=20.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.32781258 = fieldWeight in 2038, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=2038)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    The BAsel Register of Thesauri, Ontologies & Classifications (BARTOC, http://bartoc.org) is a bibliographic database aiming to record metadata of as many Knowledge Organization Systems as possible. It has a facetted, responsive web design search interface in 20 EU languages. With more than 1'300 interdisciplinary items in 77 languages, BARTOC is the largest database of its kind, multilingual both by content and features, and it is still growing. This being said, the demonstration of BARTOC would be suitable for topic nr. 10 [Multilingual and Interdisciplinary KOS applications and tools]. BARTOC has been developed by the University Library of Basel, Switzerland. It is rooted in the tradition of library and information science of collecting bibliographic records of controlled and structured vocabularies, yet in a more contemporary manner. BARTOC is based on the open source content management system Drupal 7.
  20. Balakrishnan, U.; Voß, J.: ¬The Cocoda mapping tool (2015) 0.00 
    0.0037182902 = product of:
  0.0111548705 = sum of:
    0.0111548705 = product of:
      0.022309741 = sum of:
        0.022309741 = weight(_text_:of in 4205) [ClassicSimilarity], result of:
          0.022309741 = score(doc=4205,freq=58.0), product of:
            0.06850986 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.043811057 = queryNorm
            0.32564276 = fieldWeight in 4205, product of:
              7.615773 = tf(freq=58.0), with freq of:
                58.0 = termFreq=58.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.02734375 = fieldNorm(doc=4205)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Since the 90s, we have seen an explosion of information and with it there is an increase in the need for data and information aggregation systems that store and manage information. However, most of the information sources apply different Knowledge Organizations Systems (KOS) to describe the content of stored data. This heterogeneous mix of KOS in different systems complicate access and seamless sharing of information and knowledge. Concordances also known as cross-concordances or terminology mappings map different (KOS) to each other for improvement of information retrieval in such heterogeneous mix of systems. (Mayr 2010, Keil 2012). Also for coherent indexing with different terminologies, mappings are considered to be a valuable and essential working tool. However, despite efforts at standardization (e.g. SKOS, ISO 25964-2, Keil 2012, Soergel 2011); there is a significant scarcity of concordances that has led an inability to establish uniform exchange formats as well as methods and tools for maintaining mappings and making them easily accessible. This is particularly true in the field of library classification schemes. In essence, there is a lack of infrastructure for provision/exchange of concordances, their management and quality assessment as well as tools that would enable semi-automatic generation of mappings. The project "coli-conc" therefore aims to address this gap by creating the necessary infrastructure. This includes the specification of a data format for exchange of concordances (JSKOS), specification and implementation of web APIs to query concordance databases (JSKOS-API), and a modular web application to enable uniform access to knowledge organization systems, concordances and concordance assessments (Cocoda).
    The focus of the project "coli-conc" lies in semi-automatic creation of mappings between different KOS in general and the two important library classification schemes in particular - Dewey classification system (DDC) and Regensburg classification system (RVK). In the year 2000, the national libraries of Germany, Austria and Switzerland adopted DDC in an endeavor to develop a nation-wide classification scheme. But historically, in the German speaking regions, the academic libraries have been using their own home-grown systems, the most prominent and popular being the RVK. However, with the launch of DDC, building concordances between DDC and RVK has become an imperative, although it is still rare. The delay in building comprehensive concordances between these two systems has been because of major challenges posed by the sheer largeness of these two systems (38.000 classes in DDC and ca. 860.000 classes in RVK), the strong disparity in their respective structure, the variation in the perception and representation of the concepts. The challenge is compounded geometrically for any manual attempt in this direction. Although there have been efforts on automatic mappings (OAEI Library Track 2012 -- 2014 and e.g. Pfeffer 2013) in the recent years; such concordances carry the risks of inaccurate mappings, and the approaches are rather more suitable for mapping suggestions than for automatic generation of concordances (Lauser 2008; Reiner 2010). The project "coli-conc" will facilitate the creation, evaluation, and reuse of mappings with a public collection of concordances and a web application of mapping management. The proposed presentation will give an introduction to the tools and standards created and planned in the project "coli-conc". This includes preliminary work on DDC concordances (Balakrishnan 2013), an overview of the software concept, technical architecture (Voß 2015) and a demonstration of the Cocoda web application.

Authors

Types

  • a 83
  • el 31
  • m 14
  • s 7
  • x 2
  • n 1
  • More… Less…

Themes

Subjects

Classifications