Sökning: "ontology matching evaluation"

Hittade 3 avhandlingar innehållade orden ontology matching evaluation.

  1. 1. Fostering User Involvement in Ontology Alignment and Alignment Evaluation

    Författare :Valentina Ivanova; Patrick Lambrix; Nahid Shahmehri; Fabien Gandon; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Knowledge representation; ontology; ontology engineering; ontology debugging; ontology matching; ontology matching evaluation; user interfaces; human-computer interaction; large and high-resolution displays;

    Sammanfattning : The abundance of data at our disposal empowers data-driven applications and decision making. The knowledge captured in the data, however, has not been utilized to full potential, as it is only accessible to human interpretation and data are distributed in heterogeneous repositories. LÄS MER

  3. 2. Completion of Ontologies and Ontology Networks

    Författare :Zlatan Dragisic; Patrick Lambrix; Nahid Shahmehri; Marco Kuhlmann; Fang Wei-Kleiner; Erhard Rahm; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; knowledge representation; ontology; ontology engineering; ontology debugging; ontology completion; ontology matching; description logics;

    Sammanfattning : The World Wide Web contains large amounts of data, and in most cases this data has no explicit structure. The lack of structure makes it difficult for automated agents to understand and use such data. A step towards a more structured World Wide Web is the Semantic Web, which aims at introducing semantics to data on the World Wide Web. LÄS MER

  4. 3. Context Knowledge Base for Ontology Integration

    Författare :Dan Wu; Anne Håkansson; Carl-Gustaf Jansson; Jelena Zdravkovic; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ontology integration; semantic and pragmatic integration; context; knowledge base; rules; SRA - ICT; SRA - Informations- och kommunikationsteknik;

    Sammanfattning : Ontology integration is a process of matching and merging two ontologies for reasons such as for generating a new ontology, thus creating digital services and products. Current techniques for ontology integration, used for information and knowledge integration, are not powerful enough to handle the semantic and pragmatic heterogeneities. LÄS MER