@inproceedings{7e92563ab5f0489c964844b71677940c,
title = "Situation and context in data fusion and natural language understanding",
abstract = "This paper defines and relates several important concepts in data fusion and natural language understanding: situation, relation, relationship and context. In data fusion - as in other problem-solving applications - contextual reasoning involves inferring desired information ({"}problem variables{"}) on the basis of other available information ({"}context variables{"}). Relevant contexts are often not self-evident, but must be discovered or selected as a means to problems-solving. Therefore, context exploitation involves an integration of data fusion with planning and control functions. These concepts can be generalized to apply in very diverse context exploitation applications, to include natural language understanding; which similarly involves data alignment, association and estimation of speaker/authors' intended meanings and references. Discovering and selecting useful context variables is an abductive data fusion/ management problem that can be characterized in a utility/ uncertainty framework.",
keywords = "Abduction, Anaphora, Context, Data association, Natural language understanding, Problem-solving, Relation, Relationship, Situation",
author = "Steinberg, \{Alan N.\} and Galina Rogova",
year = "2008",
doi = "10.1109/ICIF.2008.4632438",
language = "English",
isbn = "9783000248832",
series = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
publisher = "IEEE Computer Society",
booktitle = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
address = "United States",
note = "11th International Conference on Information Fusion, FUSION 2008 ; Conference date: 30-06-2008 Through 03-07-2008",
}