Search (45 results, page 1 of 3)

0.054148972 = product of:
  0.108297944 = sum of:
    0.09240982 = weight(_text_:services in 4066) [ClassicSimilarity], result of:
      0.09240982 = score(doc=4066,freq=14.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.536602 = fieldWeight in 4066, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4066)
    0.015888125 = product of:
      0.03177625 = sum of:
        0.03177625 = weight(_text_:22 in 4066) [ClassicSimilarity], result of:
          0.03177625 = score(doc=4066,freq=2.0), product of:
            0.1642603 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046906993 = 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)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

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

0.039169952 = product of:
  0.078339905 = sum of:
    0.059274152 = weight(_text_:services in 1347) [ClassicSimilarity], result of:
      0.059274152 = score(doc=1347,freq=4.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.344191 = fieldWeight in 1347, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=1347)
    0.019065749 = product of:
      0.038131498 = sum of:
        0.038131498 = weight(_text_:22 in 1347) [ClassicSimilarity], result of:
          0.038131498 = score(doc=1347,freq=2.0), product of:
            0.1642603 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046906993 = 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)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

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

0.032343436 = product of:
  0.12937374 = sum of:
    0.12937374 = weight(_text_:services in 1805) [ClassicSimilarity], result of:
      0.12937374 = score(doc=1805,freq=14.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.7512428 = fieldWeight in 1805, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1805)
  0.25 = coord(1/4)

Abstract

This paper describes the basic concepts of terminology services and their role in information retrieval interfaces. Terminology services are consumed by other software applications using machine-to-machine protocols, rather than directly by end-users. An example of a terminology service is the pilot developed by the High Level Thesaurus (HILT) project which has successfully demonstrated its potential for enhancing subject retrieval in operational services. Examples of enhancements in three such services are given. The paper discusses the future development of terminology services in relation to the Semantic Web.

0.023430167 = product of:
  0.09372067 = sum of:
    0.09372067 = weight(_text_:services in 649) [ClassicSimilarity], result of:
      0.09372067 = score(doc=649,freq=10.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.5442138 = fieldWeight in 649, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=649)
  0.25 = coord(1/4)

Abstract

This paper is about a better understanding of the structure and dynamics of science and the usage of these insights for compensating the typical problems that arises in metadata-driven Digital Libraries. Three science model driven retrieval services are presented: co-word analysis based query expansion, re-ranking via Bradfordizing and author centrality. The services are evaluated with relevance assessments from which two important implications emerge: (1) precision values of the retrieval services are the same or better than the tf-idf retrieval baseline and (2) each service retrieved a disjoint set of documents. The different services each favor quite other - but still relevant - documents than pure term-frequency based rankings. The proposed models and derived retrieval services therefore open up new viewpoints on the scientific knowledge space and provide an alternative framework to structure scholarly information systems.

0.021425508 = product of:
  0.08570203 = sum of:
    0.08570203 = sum of:
      0.04121528 = weight(_text_:management in 3730) [ClassicSimilarity], result of:
        0.04121528 = score(doc=3730,freq=2.0), product of:
          0.15810528 = queryWeight, product of:
            3.3706124 = idf(docFreq=4130, maxDocs=44218)
            0.046906993 = queryNorm
          0.2606825 = fieldWeight in 3730, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.3706124 = idf(docFreq=4130, maxDocs=44218)
            0.0546875 = fieldNorm(doc=3730)
      0.04448675 = weight(_text_:22 in 3730) [ClassicSimilarity], result of:
        0.04448675 = score(doc=3730,freq=2.0), product of:
          0.1642603 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046906993 = queryNorm
          0.2708308 = fieldWeight in 3730, 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=3730)
  0.25 = coord(1/4)

Abstract

Das BMBF hat bis Ende 2007 ein Projekt gefördert, dessen Aufgabe es war, die Erstellung und das Management von Crosskonkordanzen zwischen kontrollierten Vokabularen (Thesauri, Klassifikationen, Deskriptorenlisten) zu organisieren. In drei Jahren wurden 64 Crosskonkordanzen mit mehr als 500.000 Relationen zwischen kontrollierten Vokabularen aus den Sozialwissenschaften und anderen Fachgebieten umgesetzt. In der Schlussphase des Projekts wurde eine umfangreiche Evaluation durchgeführt, die die Effektivität der Crosskonkordanzen in unterschiedlichen Informationssystemen testen sollte. Der Artikel berichtet über die Anwendungsmöglichkeiten der Heterogenitätsbehandlung durch Crosskonkordanzen und die Ergebnisse der umfangreichen Analysen.

Source

Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly

0.020326301 = product of:
  0.040652603 = sum of:
    0.027942104 = weight(_text_:services in 168) [ClassicSimilarity], result of:
      0.027942104 = score(doc=168,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.1622532 = fieldWeight in 168, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.03125 = fieldNorm(doc=168)
    0.0127105005 = product of:
      0.025421001 = sum of:
        0.025421001 = weight(_text_:22 in 168) [ClassicSimilarity], result of:
          0.025421001 = score(doc=168,freq=2.0), product of:
            0.1642603 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046906993 = 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)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

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

0.019858949 = product of:
  0.039717898 = sum of:
    0.027942104 = weight(_text_:services in 411) [ClassicSimilarity], result of:
      0.027942104 = score(doc=411,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.1622532 = fieldWeight in 411, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.03125 = fieldNorm(doc=411)
    0.011775794 = product of:
      0.023551589 = sum of:
        0.023551589 = weight(_text_:management in 411) [ClassicSimilarity], result of:
          0.023551589 = score(doc=411,freq=2.0), product of:
            0.15810528 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046906993 = queryNorm
            0.14896142 = fieldWeight in 411, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.03125 = fieldNorm(doc=411)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

The Web has become the world's largest database, with search being the main tool that allows organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential. In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers. The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.

Content

Inhalt: Introduction.- Part I Introduction to Web of Data.- Topology of the Web of Data.- Storing and Indexing Massive RDF Data Sets.- Designing Exploratory Search Applications upon Web Data Sources.- Part II Search over the Web.- Path-oriented Keyword Search query over RDF.- Interactive Query Construction for Keyword Search on the SemanticWeb.- Understanding the Semantics of Keyword Queries on Relational DataWithout Accessing the Instance.- Keyword-Based Search over Semantic Data.- Semantic Link Discovery over Relational Data.- Embracing Uncertainty in Entity Linking.- The Return of the Entity-Relationship Model: Ontological Query Answering.- Linked Data Services and Semantics-enabled Mashup.- Part III Linked Data Search engines.- A Recommender System for Linked Data.- Flint: from Web Pages to Probabilistic Semantic Data.- Searching and Browsing Linked Data with SWSE.

0.017463814 = product of:
  0.06985526 = sum of:
    0.06985526 = weight(_text_:services in 4379) [ClassicSimilarity], result of:
      0.06985526 = score(doc=4379,freq=8.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.405633 = fieldWeight in 4379, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4379)
  0.25 = coord(1/4)

Abstract

While support for subject searching has been traditionally advocated for in library catalogs, often in the form of a catalog objective to find everything that a library has on a certain topic, research has shown that subject access has not been satisfactory. Many existing online catalogs and discovery services do not seem to make good use of the intellectual effort invested into assigning controlled subject index terms and classes. For example, few support hierarchical browsing of classification schemes and other controlled vocabularies with hierarchical structures, few provide end-user-friendly options to choose a more specific concept to increase precision, a broader concept or related concepts to increase recall, to disambiguate homonyms, or to find which term is best used to name a concept. Optimum subject access in library catalogs and discovery services is analyzed from the perspective of earlier research as well as contemporary conceptual models and cataloguing codes. Eighteen proposed features of what this should entail in practice are drawn. In an exploratory qualitative study, the three most common discovery services used in Swedish academic libraries are analyzed against these features. In line with previous research, subject access in contemporary interfaces is demonstrated to less than optimal. This is in spite of the fact that individual collections have been indexed with controlled vocabularies and a significant number of controlled vocabularies have been mapped to each other and are available in interoperable standards. Strategic action is proposed to build research-informed (inter)national standards and guidelines.

0.014818538 = product of:
  0.059274152 = sum of:
    0.059274152 = weight(_text_:services in 50) [ClassicSimilarity], result of:
      0.059274152 = score(doc=50,freq=4.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.344191 = fieldWeight in 50, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=50)
  0.25 = coord(1/4)

Abstract

Assistive technology, especially for persons with disabilities, increasingly relies on electronic communication among users, between users and their devices, and among these devices. Making such ICT accessible and inclusive often requires remedial programming, which tends to be costly or even impossible. We, therefore, aim at more interoperable devices, services accessing these devices, and content delivered by these services, at the levels of 1. data and metadata, 2. datamodels and data modelling methods and 3. metamodels as well as a meta ontology language. Even though ontologies are widely being used to enable content interoperability, there is currently no unified framework for ontology interoperability itself. This paper outlines the design considerations underlying OntoIOp (Ontology Integration and Interoperability), a new standardisation activity in ISO/TC 37/SC 3 to become an international standard, which aims at filling this gap.

0.013971052 = product of:
  0.05588421 = sum of:
    0.05588421 = weight(_text_:services in 4336) [ClassicSimilarity], result of:
      0.05588421 = score(doc=4336,freq=8.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.3245064 = fieldWeight in 4336, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.03125 = fieldNorm(doc=4336)
  0.25 = coord(1/4)

Abstract

The publication of library legacy includes publication of structuring vocabularies such as thesauri, classifications, subject headings. Different sources use different vocabularies, different in structure, width, depth and scope, and languages. Federated access to distributed data collections is currently possible if they rely on the same vocabularies. Mapping techniques and standards supporting them (such as SKOS mapping properties, OWL sameAs and equivalentClass) are still largely experimental, even in the linked data land. Libraries use a variety of controlled subject vocabulary and classification schemes to index items in their collections. Although most collections will employ only a single scheme, different schemes may be chosen to index different collections within a library or in separate libraries; schemes are chosen on the basis of language, subject focus (general or specific), granularity (specificity), user expectation, and availability and support (cost, currency, completeness, tools). For example, a typical academic library will operate separate metadata systems for the library's main collections, special collections (e.g. manuscripts, archives, audiovisual), digital collections, and one or more institutional repositories for teaching and research output; each of these systems may employ a different subject vocabulary, with little or no interoperability between terms and concepts. Users expect to have a single point-of-search in resource discovery services focussed on their local institutional collections. Librarians have to use complex and expensive resource discovery platforms to meet user expectations. Library communities continue to develop resource discovery services for consortia with a geographical, subject, sector (public, academic, school, special libraries), and/or domain (libraries, archives, museums) focus. Services are based on distributed searching (e.g. via Z39.50) or metadata aggregations (e.g. OCLC's WorldCat and OAISter). As a result, the number of different subject schemes encountered in such services is increasing. Trans-national consortia (e.g. Europeana) add to the complexity of the environment by including subject vocabularies in multiple languages. Users expect single point-of-search in consortial resource discovery service involving multiple organisations and large-scale metadata aggregations. Users also expect to be able to search for subjects using their own language and terms in an unambiguous, contextualised manner.

0.012224671 = product of:
  0.048898686 = sum of:
    0.048898686 = weight(_text_:services in 114) [ClassicSimilarity], result of:
      0.048898686 = score(doc=114,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.28394312 = fieldWeight in 114, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0546875 = fieldNorm(doc=114)
  0.25 = coord(1/4)

Abstract

Even though ontologies are widely being used to enable interoperability in information-rich endeavours, there is currently no united framework for ontology interoperability itself. Surprisingly little of the state of the art in modularity and structuring, e.g. in software engineering, has been applied to ontology engineering so far. However, application areas like Ambient Assisted Living (AAL), which require synchronization and orchestration of interoperable services, are in dire need of safe and secure ontology interoperability. OntoIOp (Ontology Integration and Interoperability), a new international standard proposed in ISO/TC 37/SC 3, aims at filling this gap.

0.012099287 = product of:
  0.048397146 = sum of:
    0.048397146 = weight(_text_:services in 134) [ClassicSimilarity], result of:
      0.048397146 = score(doc=134,freq=6.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2810308 = fieldWeight in 134, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.03125 = fieldNorm(doc=134)
  0.25 = coord(1/4)

Abstract

Metadata related to cultural items such as literature, music and movies is a valuable resource that is currently exploited in many applications and services based on semantic web technologies. A vast amount of such information has been created by memory institutions in the last decades using different standard or ad hoc schemas, and a main challenge is to make this legacy data accessible as reusable semantic data. On one hand, this is a syntactic problem that can be solved by transforming to formats that are compatible with the tools and services used for semantic aware services. On the other hand, this is a semantic problem. Simply transforming from one format to another does not automatically enable semantic interoperability and legacy data often needs to be reinterpreted as well as transformed. The conceptual model in the Functional Requirements for Bibliographic Records, initially developed as a conceptual framework for library standards and systems, is a major step towards a shared semantic model of the products of artistic and intellectual endeavor of mankind. The model is generally accepted as sufficiently generic to serve as a conceptual framework for a broad range of cultural heritage metadata. Unfortunately, the existing large body of legacy data makes a transition to this model difficult. For instance, most bibliographic data is still only available in various MARC-based formats which is hard to render into reusable and meaningful semantic data. Making legacy bibliographic data accessible as semantic data is a complex problem that includes interpreting and transforming the information. In this article, we present our work on transforming and enhancing legacy bibliographic information into a representation where the structure and semantics of the FRBR model is explicit.

0.0111216875 = product of:
  0.04448675 = sum of:
    0.04448675 = product of:
      0.0889735 = sum of:
        0.0889735 = weight(_text_:22 in 8365) [ClassicSimilarity], result of:
          0.0889735 = score(doc=8365,freq=2.0), product of:
            0.1642603 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046906993 = queryNorm
            0.5416616 = fieldWeight in 8365, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=8365)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

22. 6.2015 16:08:38

0.008731907 = product of:
  0.03492763 = sum of:
    0.03492763 = weight(_text_:services in 2250) [ClassicSimilarity], result of:
      0.03492763 = score(doc=2250,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2028165 = fieldWeight in 2250, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2250)
  0.25 = coord(1/4)

Abstract

Semantic Enrichment Enabling Sustainability of Archaeological Links (SENESCHAL) was a project coordinated by the Hypermedia Research Unit at the University of South Wales. The project aims included widening access to key vocabulary resources. National cultural heritage thesauri and vocabularies are used by both national organizations and local authority Historic Environment Records and could potentially act as vocabulary hubs for the Web of Data. Following completion, a set of prominent UK archaeological thesauri and vocabularies is now freely available as Linked Open Data (LOD) via http://www.heritagedata.org - together with open source web services and user interface controls. This presentation will reflect on work done to date for the ARIADNE FP7 infrastructure project (http://www.ariadne-infrastructure.eu) mapping between archaeological vocabularies in different languages and the utility of a hub architecture. The poly-hierarchical structure of the Getty Art & Architecture Thesaurus (AAT) was extracted for use as an example mediating structure to interconnect various multilingual vocabularies originating from ARIADNE data providers. Vocabulary resources were first converted to a common concept-based format (SKOS) and the concepts were then manually mapped to nodes of the extracted AAT structure using some judgement on the meaning of terms and scope notes. Results are presented along with reflections on the wider application to existing European archaeological vocabularies and associated online datasets.

0.008731907 = product of:
  0.03492763 = sum of:
    0.03492763 = weight(_text_:services in 2552) [ClassicSimilarity], result of:
      0.03492763 = score(doc=2552,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2028165 = fieldWeight in 2552, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2552)
  0.25 = coord(1/4)

Abstract

This collection of research papers provides extensive information on deploying services, concepts, and approaches for using open linked data from libraries and other cultural heritage institutions. With a special emphasis on how libraries and other cultural heritage institutions can create effective end user interfaces using open, linked data or other datasets. These papers are essential reading for any one interesting in user interface design or the semantic web.

0.008731907 = product of:
  0.03492763 = sum of:
    0.03492763 = weight(_text_:services in 5399) [ClassicSimilarity], result of:
      0.03492763 = score(doc=5399,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2028165 = fieldWeight in 5399, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5399)
  0.25 = coord(1/4)

Abstract

Research information can be useful to science stake-holders for discovering, evaluating and planning research activities. In the Netherlands, the institute tasked with the stewardship of national research information is DANS (Data Archiving and Networked Services). DANS is the home of NARCIS, the national portal for research information, which uses a similarly named national research classification. The NARCIS Classification assigns symbols to represent the knowledge bases of contributing scholars. A recent research stream in knowledge organization known as comparative classification uses two or more classifications experimentally to generate empirical evidence about coverage of conceptual content, population of the classes, and economy of classification. This paper builds on that research in order to further understand the comparative impact of the NARCIS Classification alongside a classification designed specifically for information resources. Our six cases come from the DANS project Knowledge Organization System Observatory (KOSo), which itself is classified using the Information Coding Classification (ICC) created in 1982 by Ingetraut Dahlberg. ICC is considered to have the merits of universality, faceting, and a top-down approach. Results are exploratory, indicating that both classifications provide fairly precise coverage. The inflexibility of the NARCIS Classification makes it difficult to express complex concepts. The meta-ontological, epistemic stance of the ICC is apparent in all aspects of this study. Using the two together in the DANS KOS Observatory will provide users with both clarity of scientific positioning and ontological relativity.

0.008731907 = product of:
  0.03492763 = sum of:
    0.03492763 = weight(_text_:services in 5478) [ClassicSimilarity], result of:
      0.03492763 = score(doc=5478,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2028165 = fieldWeight in 5478, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5478)
  0.25 = coord(1/4)

Abstract

This exploratory study examined Linked Data (LD) schemas/ontologies and data models proposed or in use by libraries around the world using MAchine Readable Cataloging (MARC) as a basis for comparison of the scope and extensibility of these potential new standards. The researchers selected 14 libraries from national libraries, academic libraries, government libraries, public libraries, multi-national libraries, and cultural heritage centers currently developing Library Linked Data (LLD) schemas. The choices of models, schemas, and elements used in each library's LD can create interoperability issues for LD services because of substantial differences between schemas and data models evolving via local decisions. The researchers observed that a wide variety of vocabularies and ontologies were used for LLD including common web schemas such as Dublin Core (DC)/DCTerms, Schema.org and Resource Description Framework (RDF), as well as deprecated schemas such as MarcOnt and rdagroup1elements. A sharp divide existed as well between LLD schemas using variations of the Functional Requirements for Bibliographic Records (FRBR) data model and those with different data models or even with no listed data model. Libraries worldwide are not using the same elements or even the same ontologies, schemas and data models to describe the same materials using the same general concepts.

0.007944062 = product of:
  0.03177625 = sum of:
    0.03177625 = product of:
      0.0635525 = sum of:
        0.0635525 = weight(_text_:22 in 3278) [ClassicSimilarity], result of:
          0.0635525 = score(doc=3278,freq=2.0), product of:
            0.1642603 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046906993 = 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)
  0.25 = coord(1/4)

Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

0.006740761 = product of:
  0.026963044 = sum of:
    0.026963044 = product of:
      0.053926088 = sum of:
        0.053926088 = weight(_text_:22 in 4379) [ClassicSimilarity], result of:
          0.053926088 = score(doc=4379,freq=4.0), product of:
            0.1642603 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046906993 = queryNorm
            0.32829654 = fieldWeight in 4379, 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=4379)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

Am 29. und 30. Oktober 2009 fand in der Königlichen Bibliothek in Den Haag das zweite internationale UDC-Seminar zum Thema "Classification at a Crossroad" statt. Organisiert wurde diese Konferenz - wie auch die erste Konferenz dieser Art im Jahr 2007 - vom UDC-Konsortium (UDCC). Im Mittelpunkt der diesjährigen Veranstaltung stand die Erschließung des World Wide Web unter besserer Nutzung von Klassifikationen (im Besonderen natürlich der UDC), einschließlich benutzerfreundlicher Repräsentationen von Informationen und Wissen. Standards, neue Technologien und Dienste, semantische Suche und der multilinguale Zugriff spielten ebenfalls eine Rolle. 135 Teilnehmer aus 35 Ländern waren dazu nach Den Haag gekommen. Das Programm umfasste mit 22 Vorträgen aus 14 verschiedenen Ländern eine breite Palette, wobei Großbritannien mit fünf Beiträgen am stärksten vertreten war. Die Tagesschwerpunkte wurden an beiden Konferenztagen durch die Eröffnungsvorträge gesetzt, die dann in insgesamt sechs thematischen Sitzungen weiter vertieft wurden.

Date

22. 1.2010 15:06:54

0.006740761 = product of:
  0.026963044 = sum of:
    0.026963044 = product of:
      0.053926088 = sum of:
        0.053926088 = weight(_text_:22 in 1967) [ClassicSimilarity], result of:
          0.053926088 = score(doc=1967,freq=4.0), product of:
            0.1642603 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046906993 = 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)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

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.