Auflistung nach Schlagwort "Semantics"

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  • Analysing entity context in multilingual wikipedia to support entity-centric retrieval applications 
    Zhou, Yiwei; Demidova, Elena; Cristea, Alexandra I. (Heidelberg : Springer Verlag, 2015)
    Representation of influential entities, such as famous people and multinational corporations, on the Web can vary across languages, reflecting language-specific entity aspects as well as divergent views on these entities ...
  • Canonical models and the complexity of modal team logic 
    Lück, Martin (Wadern : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, 2018)
    We study modal team logic MTL, the team-semantical extension of classical modal logic closed under Boolean negation. Its fragments, such as modal dependence, independence, and inclusion logic, are well-understood. However, ...
  • Coherent Social Systems for Learning: An Approach for Contextualized and Community-Centred Metadata 
    Allert, Heidrun (Milton Keynes : Open University, 2004)
    The aim of this work is to outline a modelling approach for context specific educational metadata, which addresses the valuable diversity in the field of learning. It presents some foundational issues in the field of ...
  • Combining Programming-by-Example with Transformation Discovery from large Databases 
    Özmen, Aslihan; Esmailoghli, Mahdi; Abedjan, Ziawasch (Bonn : Ges. für Informatik, 2021)
    Data transformation discovery is one of the most tedious tasks in data preparation. In particular, the generation of transformation programs for semantic transformations is tricky because additional sources for look-up ...
  • Contextual land use classification: How detailed can the class structure be? 
    Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2016)
    The goal of this paper is to investigate the maximum level of semantic resolution that can be achieved in an automated land use change detection process based on mono-temporal, multi-spectral, high-resolution aerial image ...
  • Decidability of predicate logics with team semantics 
    Kontinen, Juha; Kuusisto, Antti; Virtema, Jonni (Saarbrücken : Dagstuhl Publishing, 2016)
    We study the complexity of predicate logics based on team semantics. We show that the satisfiability problems of two-variable independence logic and inclusion logic are both NEXPTIMEcomplete. Furthermore, we show that the ...
  • Exploring ALS and DIM data for semantic segmentation using CNNs 
    Politz, F.; Sester, M. (Katlenburg-Lindau : Copernicus Publications, 2018)
    Over the past years, the algorithms for dense image matching (DIM) to obtain point clouds from aerial images improved significantly. Consequently, DIM point clouds are now a good alternative to the established Airborne ...
  • Hierarchical higher order crf for the classification of airborne lidar point clouds in urban areas 
    Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Göttingen : Copernicus GmbH, 2016)
    We propose a novel hierarchical approach for the classification of airborne 3D lidar points. Spatial and semantic context is incorporated via a two-layer Conditional Random Field (CRF). The first layer operates on a point ...
  • Interaction Network Analysis Using Semantic Similarity Based on Translation Embeddings 
    Manzoor Bajwa, Awais; Collarana, Diego; Vidal, Maria-Esther (Cham : Springer, 2019)
    Biomedical knowledge graphs such as STITCH, SIDER, and Drugbank provide the basis for the discovery of associations between biomedical entities, e.g., interactions between drugs and targets. Link prediction is a paramount ...
  • Intersection detection based on qualitative spatial reasoning on stopping point clusters 
    Zourlidou, S.; Sester, Monika (Göttingen : Copernicus GmbH, 2016)
    The purpose of this research is to propose and test a method for detecting intersections by analysing collectively acquired trajectories of moving vehicles. Instead of solely relying on the geometric features of the ...
  • Knowledge based interpretation of moorland in aerial images 
    Pakzad, Kian; Heipke, Christian (London : International Society for Photogrammetry and Remote Sensing, 2000)
    For the interpretation of remote sensing data the traditional methods such as multispectral classification are in many cases not sufficient. This applies especially to more complex scenes. In order to interpret such scenes ...
  • Matching cartographic objects in spatial databases 
    Mantel, Daniela; Lipeck, Udo (London : International Society for Photogrammetry and Remote Sensing, 2004)
    Nowadays cartographic objects of different resolutions are hold in different coexisting databases. This implies an extensive amount of work for updating an object in all resolutions. One way to reduce this is to build a ...
  • Model checking and validity in propositional and modal inclusion logics 
    Hella, Lauri; Kuusisto, Antti; Meier, Arne; Virtema, Jonni (Wadern : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, 2017)
    Propositional and modal inclusion logic are formalisms that belong to the family of logics based on team semantics. This article investigates the model checking and validity problems of these logics. We identify complexity ...
  • Multitemporal interpretation of remote sensing data 
    Müller, Sönke; Mota, Guilherme Lucio Abelha; Liedtke, Claus-Eberhard (London : International Society for Photogrammetry and Remote Sensing, 2004)
    The automated interpretation of aerial image data is a task with increasing significance for several applications, e.g. quality control and automatic updating of GIS data, automatic land use change detection, measurement ...
  • On the complexity of team logic and its two-variable fragment 
    Lück, Martin (Wadern : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, 2018)
    We study the logic FO(∼), the extension of first-order logic with team semantics by unrestricted Boolean negation. It was recently shown to be axiomatizable, but otherwise has not yet received much attention in questions ...
  • Ontology-based assistance system for control process reconfiguration of Robot-Based Applications 
    Mueller, Aleksandra; Jesse, Waldemar; Storms, Simon; Herfs, Werner; Brecher, Christian (Hannover : publish-Ing., 2023)
    Due to increasing global competition, companies are challenged to make their production flexible and adaptable. This leads to a steadily increasing complexity of production systems and thus their automation and control ...
  • Retrieval, Crawling and Fusion of Entity-centric Data on the Web 
    Dietze, Stefan (Heidelberg : Springer Verlag, 2017)
    While the Web of (entity-centric) data has seen tremendous growth over the past years, take-up and re-use is still limited. Data vary heavily with respect to their scale, quality, coverage or dynamics, what poses challenges ...
  • SemEval-2021 Task 11: NLPCONTRIBUTIONGRAPH - Structuring Scholarly NLP Contributions for a Research Knowledge Graph 
    D'Souza, Jennifer; Auer, Sören; Pedersen, Ted (Stroudsburg, PA : Association for Computational Linguistics (ACL), 2021)
    There is currently a gap between the natural language expression of scholarly publications and their structured semantic content modeling to enable intelligent content search. With the volume of research growing exponentially ...
  • Simple-ML: Towards a Framework for Semantic Data Analytics Workflows 
    Gottschalk, Simon; Tempelmeier, Nicolas; Kniesel, Günter; Iosifidis, Vasileios; Fetahu, Besnik; Demidova, Elena (Heidelberg : Springer Verlag, 2019)
    In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic ...
  • The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources 
    D'Souza, Jennifer; Hoppe, Anett; Brack, Arthur; Jaradeh, Mohamad Yaser; Auer, Sören; Ewerth, Ralph (Paris : The European Language Resources Association (ELRA), 2020)
    We introduce the STEM (Science, Technology, Engineering, and Medicine) Dataset for Scientific Entity Extraction, Classification, and Resolution, version 1.0 (STEM-ECR v1.0). The STEM-ECR v1.0 dataset has been developed to ...