(Semantic) Similarity-Blog

Why ballpoint pens and pencils are similar?

SimCat-Project

I am very happy to announce that we, the Ifgi Cognitive Engineering Group (ICEL) and the Muenster Semantic Interoperability Lab (MUSIL), have finally started our SimCat Project. The kickoff meeting was at the 19th October and the Project (funded by the German Research Foundation) will run until November 2008. Of course I will report on the ongoing work, for now here is just a list of topics that we will deal with or have already first results from our previous work. Moreover we have started to develop a similarity server basing on the SIM-DL [73] theory to measure similarity between concepts phrased in various description logics.

List of Topics:

Semantic Similarity (and)
   •Time:
       Concepts evolve over time and therefore also their similarity.

   •Context:
        As Goodman puts it, there is no meaning of similarity without defining its respects.

   •Goals / Affordances:
        Beside context, the goals and abilities of the user have influence on
similarity.
   •Structured Representation:
        Concepts are not bags of features, but have a structure that influences similarity.

   •Representation Extraction:
        How to extract dimensions for geometric similarity approaches out of  databases?

   •As Compromise: 
        The role of similarity in decision support systems involving several users.

   •Generalization:
        Levels of abstractions and their influence on similarity.

   •Description Logics:
        How to measure similarity between DL-concepts (see [73]).

   •Activation/Artificial Neural Networks:
        Can we use neural networks as activation & alignment structures for similairty?

List of Project Participants:

  • Boris Bäumer
  • Martin Espeter
  • Krzysztof Janowicz
  • Carsten Keßler
  • Ilija Panov
  • Martin Raubal
  • Mirco Schwarz
  • Marc Wilkes

Our Project Logo:


[73] Janowicz, K. (2006). Sim-DL: Towards a Semantic Similarity Measurement Theory for the Description Logic ALCNR in Geographic Information Retrieval. R. Meersman, Z. Tari, P. Herrero et al. (Eds.): SeBGIS 2006, OTM Workshops 2006, LNCS 4278, pp. 1681 – 1692, 2006. [PDF] (external link)

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