Browsing Book chapters by Title

Now showing items 1-8 of 8

  • Cellular Automata Ants 

    Bitsakidis, Nikolaos P.; Dourvas, Nikolaos I.; Chatzichristofis, Savvas A.; Sirakoulis, Georgios Ch. (Springer, 2017)
    During the last decades much attention was given to bio-inspired techniques able to successfully handle really complex algorithmic problems. As such Ant Colony Optimization (ACO) algorithms have been introduced as a ...

  • Combining Color and Spatial Color Distribution Information in a Fuzzy Rule Based Compact Composite Descriptor 

    Chatzichristofis, Savvas A.; Boutalis, Yiannis S.; Lux, Mathias (Springer, 2011)
    In this paper, a novel low level feature for content based image retrieval is presented. The proposed feature structure combines color and spatial color distribution information. The combination of these two features in ...

  • Combining Syntactic and Semantic Evidence for Improving Matching over Linked Data Sources 

    Christodoulou, Klitos; Fernandes, Alvaro A.A.; Paton, Norman W. (Springer Link, 2015-11)
    In the context of Linked Data (LD) sources, the ability to traverse links and retrieve further information can be exploited to harvest semantic annotations. Such annotations can, in turn, underpin the inference of semantic ...

  • Employing Cellular Automata for Shaping Accurate Morphology Maps Using Scattered Data from Robotics’ Missions 

    Kapoutsis, Athanasios Ch.; Chatzichristofis, Savvas A.; Sirakoulis, Georgios Ch.; Doitsidis, Lefteris; Kosmatopoulos, Elias B. (Springer, 2015)
    Accurate maps are essential in the case of robot teams, so that they can operate autonomously and accomplish their tasks efficiently. In this work we present an approach which allows the generation of detailed maps, suitable ...

  • Handwritting: keyword spotting The Query by Example (QbE) case 

    Barlas, Georgios; Zagoris, Konstantinos; Pratikakis, Ioannis (Nova Science Publishers, Inc, 2017-07-21)
    The traditional approach in document indexing usually involves an Optical Character Recognition (OCR) step. Although OCR performs well in modern printed documents and documents of high quality printing, in the ...

  • Pay-as-you-go data integration for linked data: opportunities, challenges and architectures 

    Christodoulou, Klitos; Paton, Norman W.; Fernandes, Alvaro A.A.; Parsia, Bijan; Hedeler, Cornelia (ACM Digital Library, 2012)
    Linked Data (LD) provides principles for publishing data that underpin the development of an emerging web of data. LD follows the web in providing low barriers to entry: publishers can make their data available using a ...

  • Structure Inference for Linked Data Sources Using Clustering 

    Christodoulou, Klitos; Paton, Norman W.; Fernandes, Alvaro A.A. (Springer Link, 2015-02-24)
    Linked Data (LD) overlays the World Wide Web of documents with a Web of Data. This is becoming significant as shown in the growth of LD repositories available as part of the Linked Open Data (LOD) cloud. At the instance-level, ...

  • Structure inference for linked data sources using clustering 

    Christodoulou, Klitos; Paton, Norman W.; Fernandes, Alvaro A.A. (ACM Digital Library, 2013)
    Linked Data (LD) is supplementing the World Wide Web of documents with a Web of data. This is becoming apparent from the number of LD repositories available as part of the Linked Open Data (LOD) cloud. At the instance-level, ...