The Use of Situation Theory in Context Modeling Export

@article{DBLP:journals/ci/AkmanS97, abstract = {At the heart of natural language processing is the understanding of context dependent meanings. This paper presents a preliminary model of formal contexts based on situation theory. It also gives a worked-out example to show the use of contexts in lifting, i.e., how propositions holding in a particular context transform when they are moved to another context. This is useful in NLP applications where preserving meaning is a desideratum.}, author = {Akman, Varol and Surav, Mehmet}, citeulike-article-id = {1689171}, citeulike-linkout-0 = {http://dx.doi.org/10.1111/0824-7935.00046}, citeulike-linkout-1 = {http://www.cs.bilkent.edu.tr/~akman/jour-papers/ci/ci1997.pdf}, comment = {Uses situation theory to model context. Situation theory has two primitive notions: infons and situations. It represents a context by on a situation type that supports two kinks of infons: (i) factual infons to state facts, and (ii) constraints (which correspond to parametric condidtionals) to capture the if-then relations holding within the contest. It also shows how to do lifting with this model. It has two major advantages over other context models: 1. Dynamic contexts through nonmonoticity 2. Natural language support}, doi = {10.1111/0824-7935.00046}, journal = {Computational Intelligence}, keywords = {context, knowledge, l3s\_context\_workshop, model, nlp}, number = {3}, pages = {427--438}, posted-at = {2007-09-24 11:48:48}, priority = {0}, title = {The Use of Situation Theory in Context Modeling}, url = {http://dx.doi.org/10.1111/0824-7935.00046}, volume = {13}, year = {1997} }

TY - JOUR ID - DBLP:journals/ci/AkmanS97 L3 - citeulike-article-id:1689171 N2 - At the heart of natural language processing is the understanding of context dependent meanings. This paper presents a preliminary model of formal contexts based on situation theory. It also gives a worked-out example to show the use of contexts in lifting, i.e., how propositions holding in a particular context transform when they are moved to another context. This is useful in NLP applications where preserving meaning is a desideratum. IS - 3 JF - Computational Intelligence EP - 438 TI - The Use of Situation Theory in Context Modeling VL - 13 SP - 427 KW - context KW - knowledge KW - l3s_context_workshop KW - model KW - nlp N1 - Uses situation theory to model context. Situation theory has two primitive notions: infons and situations. It represents a context by on a situation type that supports two kinks of infons: (i) factual infons to state facts, and (ii) constraints (which correspond to parametric condidtionals) to capture the if-then relations holding within the contest. It also shows how to do lifting with this model. It has two major advantages over other context models: 1. Dynamic contexts through nonmonoticity 2. Natural language support AU - Akman, Varol AU - Surav, Mehmet PY - 1997/// UR - http://dx.doi.org/10.1111/0824-7935.00046 ER -