Tables are a natural and ubiquitous way of representing related information. Actionable insight is usually gleaned from tabular datasets through data mining techniques assisted by domain experts. These techniques however, do not harness the semantics or the contextual reference underlying the datasets. Tabular datasets, especially the ones created as part of open data initiatives often contain ...

The inferred mode protocol uses contextual reasoning and local mediators to eliminate the need to access specific modes to perform draw, select, move and delete operations in a sketch interface. In this paper, we describe an observational experiment to understand the learnability – whether the features are discovered independently – and the usability – user preference and frequency of use – of ...

A major aspect of human reasoning involves the use of approximations. Particularly in situations where the decision-making process is under stringent time constraints, decisions are based largely on approximate, qualitative assessments of the situations. Our work is concerned with the application of approximate reasoning to real-time control. Because of the stringent processing speed requiremen...

this paper examines the semantic contribution of -?r and -andeh suffixes in persian based on lieber’s (2004) lexical semantic representation. this framework using six semantic features ([material], [dynamic], [location], [ieps] , [b] and [ci] and a principle called coordination principle studies the semantic contribution of lexical items including affixes and their functions in compounding, der...

A connectionist inferencing network, based on a fuzzy version of Kohonen’s model already developed by the authors, is proposed. It is capable of handling uncertainty and/or impreciseness in the input representation provided in quantitative, linguistic and/or set forms. The output class membership value of an input pattern is inferred by the trained network. A measure of certainty expressing con...

The purpose of this paper is to provide an introduction to the OWL Web ontology language, a survey focused on the current state of the art in OWL inferencing capabilities, and a historical perspective on procedural attachments. The perspective is aligned with current OWL research. Several limitations of the OWL language and proposed extensions to overcome these limitations are discussed. A fram...

Ontology-based context models are widely used in a ubiquitous computing environment. Among many benefits such as acquisition of conceptual context through inference, context sharing, and context reusing, the ontology-based context model enables context-aware applications to use conceptual contexts which cannot be acquired by sensors. However, inferencing causes processing delay and it becomes a...

The current study, setting a two-fold goal, attempted to see whether the preemptive focus on form (FonF) under either planned or unplanned conditions could contribute to increasing lexical diversity in written narratives and, second, to find whether there was a trade-off between the lexical diversity and accuracy. To this end, 32 beginner learners were selected following a Quick Oxford Placemen...

interpretation is the name given to the generic process of "executing" a program on a lattice which is much simpler than the standard execution lattice. This process produces a kind of "homomorphic image" of the real computation, and is often used for various kinds of static analysis [Cousot77, Mycroft81, Burn87]. Most "forward" type inference, including that performed by Kaplan-Ullman, Beer an...

Flood water in Lake Manapouri is released according to strictly formulated flood rules. B e Realtime Flood Assistant is an expert system which incorporates Lake Manapouri flood rules and the txperience of the control room operators at Transpower NZ Ltd. to assist them in the release of flood water. The expert system is being developed in Level5 Object. The program is mainly an event-driven syst...