Seamless Semantics – Avoiding Semantic Discontinuity in Data Workflows
Two decades ago one has discussed how to build seamless digital workflows
such that the medium for data in a workflow would not switch between paper, fax, phone,
and digital, because each transcription from one to another medium would
be laborious and cost-inefficient. Thus, the issue was avoiding *medium discontinuities*.
Today, we have all-digital data workflows, but we have still plenty of *semantic discontinuities*.
In this talk, I want first to describe reasons for this discontinuities including: autonomy of
data providers, need for agility and flexibility, or decentralized organizations in
the world-wide data spaces.
Then I want to describe several semantics discontinuities and some efforts to
ameliorate them by:
1. Semantic programming (Horizontal workflow paradigm)
2. Core ontologies (Vertical workflow paradigm)
3. Semantic data production and consumption (Sticky semantics)
Institute for Computer Science
University of Koblenz-Landau
Steffen studied in Erlangen (Germany), Philadelphia (USA) and Freiburg (Germany) Computer Science and Computational Linguistics. Afterwards he worked as researcher at Uni. Stuttgart/Fraunhofer and Univ. Karlsruhe, before he became professor in Koblenz. In his research career he has managed to avoid almost all good advice that he now gives to his team members. Such advise includes focusing on research (vs. company) or concentrating on only one or two research areas (vs. considering ontologies, semantic web, social web, data engineering, text mining, peer-to-peer, multimedia, HCI, services, software modelling and programming and some more). Though, actually, improving how we understand and use text and data is a good common denominator for a lot of Steffen’s professional activities.