Towards concept anchoring for cognitive robots View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-10

AUTHORS

Marios Daoutis, Silvia Coradeschi, Amy Loutfi

ABSTRACT

We present a model for anchoring categorical conceptual information which originates from physical perception and the web. The model is an extension of the anchoring framework which is used to create and maintain over time semantically grounded sensor information. Using the augmented anchoring framework that employs complex symbolic knowledge from a commonsense knowledge base, we attempt to ground and integrate symbolic and perceptual data that are available on the web. We introduce conceptual anchors which are representations of general, concrete conceptual terms. We show in an example scenario how conceptual anchors can be coherently integrated with perceptual anchors and commonsense information for the acquisition of novel concepts. More... »

PAGES

213-228

References to SciGraph publications

  • 2004-11. Distinctive Image Features from Scale-Invariant Keypoints in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2002-11-05. Open Mind Common Sense: Knowledge Acquisition from the General Public in ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2002: COOPIS, DOA, AND ODBASE
  • 2008. Feature Selection: Near Set Approach in MINING COMPLEX DATA
  • 2004. Qualitative Direction Calculi with Arbitrary Granularity in PRICAI 2004: TRENDS IN ARTIFICIAL INTELLIGENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11370-012-0117-z

    DOI

    http://dx.doi.org/10.1007/s11370-012-0117-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1029072799


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