Search (6 results, page 1 of 1)

  • × theme_ss:"Semantische Interoperabilität"
  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Bandholtz, T.; Schulte-Coerne, T.; Glaser, R.; Fock, J.; Keller, T.: iQvoc - open source SKOS(XL) maintenance and publishing tool (2010) 0.24
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  2. Gödert, W.: Semantische Wissensrepräsentation und Interoperabilität : Teil 2: Ein formales Modell semantischer Interoperabilität (2010) 0.01
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    Abstract
    In diesem zweiten Teil wird ein formales Modell zur semantischen Interoperabilität als Brücke zwischen formaler Modellierung und intellektueller Interpretation vorgestellt, das ein besseres Verständnis der zentralen Begriffe von semantischer Ähnlichkeit und Verschiedenheit von Begriffen und Klassen, sowohl als elementare Inhaltsentitäten von Dokumentationssprachen als auch als synthetische Repräsentationen von Dokumentinhalten, ermöglichen soll.
    Source
    Information - Wissenschaft und Praxis. 61(2010) H.1, S.19-28
  3. Gödert, W.: Semantische Wissensrepräsentation und Interoperabilität : Teil 1: Interoperabilität als Weg zur Wissensexploration (2010) 0.01
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    Abstract
    Dieser aus zwei Teilen bestehende Beitrag setzt Methoden der semantischen Wissensrepräsentation in Verbindung zur Gestaltung von Retrievalszenarios für begriffliche Recherchen und insbesondere für die Wissensexploration. Ausgehend von heterogenen Erschließungssituationen werden Konzepte vorgestellt, wie durch Maßnahmen zur Herstellung von Interoperabilität ein Beitrag zur Lösung der Heterogenitätssituation geleistet werden soll. Basierend auf einem, im zweiten Teil vorgestellten, formalen Modell zum besseren Verständnis von semantischer Interoperabilität, wird ein Vorschlag für ein Gesamtsystem entwickelt, das aus einer Kernontologie und lokalisierten semantischen Netzen mit erweitertem Relationenumfang besteht. Die Möglichkeiten zur Recherche und Exploration in einem solchen Gesamtrahmen werden skizziert.
    Source
    Information - Wissenschaft und Praxis. 61(2010) H.1, S.5-18
  4. Soergel, D.: Towards a relation ontology for the Semantic Web (2011) 0.01
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    Abstract
    The Semantic Web consists of data structured for use by computer programs, such as data sets made available under the Linked Open Data initiative. Much of this data is structured following the entity-relationship model encoded in RDF for syntactic interoperability. For semantic interoperability, the semantics of the relationships used in any given dataset needs to be made explicit. Ultimately this requires an inventory of these relationships structured around a relation ontology. This talk will outline a blueprint for such an inventory, including a format for the description/definition of binary and n-ary relations, drawing on ideas put forth in the classification and thesaurus community over the last 60 years, upper level ontologies, systems like FrameNet, the Buffalo Relation Ontology, and an analysis of linked data sets.
  5. Amarger, F.; Chanet, J.-P.; Haemmerlé, O.; Hernandez, N.; Roussey, C.: SKOS sources transformations for ontology engineering : agronomical taxonomy use case (2014) 0.01
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    Abstract
    Sources like thesauri or taxonomies are already used as input in ontology development process. Some of them are also published on the LOD using the SKOS format. Reusing this type of sources to build an ontology is not an easy task. The ontology developer has to face different syntax and different modelling goals. We propose in this paper a new methodology to transform several non-ontological sources into a single ontology. We take into account: the redundancy of the knowledge extracted from sources in order to discover the consensual knowledge and Ontology Design Patterns (ODPs) to guide the transformation process. We have evaluated our methodology by creating an ontology on wheat taxonomy from three sources: Agrovoc thesaurus, TaxRef taxonomy, NCBI taxonomy.
  6. Vlachidis, A.; Tudhope, D.: ¬A knowledge-based approach to information extraction for semantic interoperability in the archaeology domain (2016) 0.00
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    Abstract
    The article presents a method for automatic semantic indexing of archaeological grey-literature reports using empirical (rule-based) Information Extraction techniques in combination with domain-specific knowledge organization systems. The semantic annotation system (OPTIMA) performs the tasks of Named Entity Recognition, Relation Extraction, Negation Detection, and Word-Sense Disambiguation using hand-crafted rules and terminological resources for associating contextual abstractions with classes of the standard ontology CIDOC Conceptual Reference Model (CRM) for cultural heritage and its archaeological extension, CRM-EH. Relation Extraction (RE) performance benefits from a syntactic-based definition of RE patterns derived from domain oriented corpus analysis. The evaluation also shows clear benefit in the use of assistive natural language processing (NLP) modules relating to Word-Sense Disambiguation, Negation Detection, and Noun Phrase Validation, together with controlled thesaurus expansion. The semantic indexing results demonstrate the capacity of rule-based Information Extraction techniques to deliver interoperable semantic abstractions (semantic annotations) with respect to the CIDOC CRM and archaeological thesauri. Major contributions include recognition of relevant entities using shallow parsing NLP techniques driven by a complimentary use of ontological and terminological domain resources and empirical derivation of context-driven RE rules for the recognition of semantic relationships from phrases of unstructured text.