id: 06067869
dt: a
an: 06067869
au: Andres, Frederic; Kannan, Rajkumar
ti: Ontology driven data management with topic maps.
so: Kannan, Rajkumar (ed.) et al., Data engineering and management. Second
    international conference, ICDEM 2010, Tiruchirappalli, India, July
    29‒31, 2010. Revised selected papers. Berlin: Springer (ISBN
    978-3-642-27871-6/pbk). Lecture Notes in Computer Science 6411, 16-23
    (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: ontology engineering; data management; topic maps
ci: 
li: doi:10.1007/978-3-642-27872-3_3
ab: Summary: Our study involves associating a context with semantic indexes and
    descriptors based on topic maps for efficient ontology-driven data
    managelent (e.g. blogs, cooperative platforms, digital libraries,
    document versioning tools, etc.). We believe that supporting contextual
    semantics can add a set of properties that vary according to the use of
    ontological topic maps (TM). Their use is beneficial for users who
    intend to exchange semantic knowledge in an application domain.
    Existing semantic layers in current systems are not yet capable of
    supporting relevant contextual semantic description. In this paper, we
    aim at extending the many-sorted algebra formalizing the topic maps
    layer in order to support 5W1H contexts (What, Why, Where, Who, When
    and How) using TMBLOG system as case study.
rv: