Search (8 results, page 1 of 1)

  • × theme_ss:"Semantic Web"
  • × theme_ss:"Semantische Interoperabilität"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Baker, T.; Sutton, S.A.: Linked data and the charm of weak semantics : Introduction: the strengths of weak semantics (2015) 0.00 
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    Abstract
    Logic and precision are fundamental to ontologies underlying the semantic web and, by extension, to linked data. This special section focuses on the interaction of semantics, ontologies and linked data. The discussion presents the Simple Knowledge Organization Scheme (SKOS) as a less formal strategy for expressing concept hierarchies and associations and questions the value of deep domain ontologies in favor of simpler vocabularies that are more open to reuse, albeit risking illogical outcomes. RDF ontologies harbor another unexpected drawback. While structurally sound, they leave validation gaps permitting illogical uses, a problem being addressed by a W3C Working Group. Data models based on RDF graphs and properties may replace traditional library catalog models geared to predefined entities, with relationships between RDF classes providing the semantic connections. The BIBFRAME Initiative takes a different and streamlined approach to linking data, building rich networks of information resources rather than relying on a strict underlying structure and vocabulary. Taken together, the articles illustrate the trend toward a pragmatic approach to a Semantic Web, sacrificing some specificity for greater flexibility and partial interoperability.
    Footnote
    Introduction to a special section "Linked data and the charm of weak semantics".
    Type
    a
  2. Isaac, A.; Baker, T.: Linked data practice at different levels of semantic precision : the perspective of libraries, archives and museums (2015) 0.00 
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    Abstract
    Libraries, archives and museums rely on structured schemas and vocabularies to indicate classes in which a resource may belong. In the context of linked data, key organizational components are the RDF data model, element schemas and value vocabularies, with simple ontologies having minimally defined classes and properties in order to facilitate reuse and interoperability. Simplicity over formal semantics is a tenet of the open-world assumption underlying ontology languages central to the Semantic Web, but the result is a lack of constraints, data quality checks and validation capacity. Inconsistent use of vocabularies and ontologies that do not follow formal semantics rules and logical concept hierarchies further complicate the use of Semantic Web technologies. The Simple Knowledge Organization System (SKOS) helps make existing value vocabularies available in the linked data environment, but it exchanges precision for simplicity. Incompatibilities between simple organized vocabularies, Resource Description Framework Schemas and OWL ontologies and even basic notions of subjects and concepts prevent smooth translations and challenge the conversion of cultural institutions' unique legacy vocabularies for linked data. Adopting the linked data vision requires accepting loose semantic interpretations. To avoid semantic inconsistencies and illogical results, cultural organizations following the linked data path must be careful to choose the level of semantics that best suits their domain and needs.
    Footnote
    Contribution to a special section "Linked data and the charm of weak semantics".
    Type
    a
  3. Stamou, G.; Chortaras, A.: Ontological query answering over semantic data (2017) 0.00 
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  4. Piscitelli, F.A.: Library linked data models : library data in the Semantic Web (2019) 0.00 
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    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.
    Type
    a
  5. Siwecka, D.: Knowledge organization systems used in European national libraries towards interoperability of the semantic Web (2018) 0.00 
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  6. Borst, T.: Repositorien auf ihrem Weg in das Semantic Web : semantisch hergeleitete Interoperabilität als Zielstellung für künftige Repository-Entwicklungen (2014) 0.00 
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  7. Neubauer, G.: Visualization of typed links in linked data (2017) 0.00 
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  8. Neumaier, S.: Data integration for open data on the Web (2017) 0.00 
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