Vagueness is not undecidability, but undecidability does enter into an explanation of why there is vagueness. My theory, called the Undecidability Theory of Vagueness, explains vagueness largely as a result of the fact that we are computationally bound.1 Vagueness is not due to any particularly human weakness, but due to a weakness that any computationally bound agent possesses; even HAL from 2...

At our institute a speech understanding and dialog system is developed. As an example we model an information system for timetables and other information about intercity trains. In understanding spoken utterances, additional problems arise due to pronunciation variabilities and vagueness of the word recognition process. Experiments so far have also shown that the syntactical analysis produces a...

One of the key problems with virtual organizations in the context of the (Semantic) Grid is we don’t know how to describe the components used in virtual organizations because they appear to be dynamic, dispersed, transient, type-vague (or we don’t know their types), heterogeneous, semantically informal, and disorderly. The existing semantic modeling approaches lack effective modeling facilities...

This paper presents a geometric characterization of geographic objects with vague boundaries. Since the framework is based on ordering geometry and does not rely on numerical concepts, it can be applied to qualitative spatial reasoning. The characterization describes vague regions and gradual transitions between two vague regions. This approach takes into account that the region of all points t...

We have developed an intelligent agent to engage with users in virtual drama improvisation previously. The intelligent agent was able to perform sentence-level affect detection from user inputs with strong emotional indicators. However, we noticed that many inputs with weak or no affect indicators also contain emotional implication but were regarded as neutral expressions by the previous interp...

Space and time have not received much attention on the Semantic Web so far. While their importance has been recognized recently, existing work reduces them to simple latitude-longitude pairs and time stamps. In contrast, we argue that space and time are fundamental ordering relations for knowledge organization, representation, and reasoning. While most research on Semantic Web reasoning has foc...

An important problem for the success of ontology-based applications is how to provide persistent storage and querying. For that purpose, many RDF tools capable of storing and querying over a knowledge base, have been proposed. Recently, fuzzy extensions to ontology languages have gained considerable attention especially due to their ability to handle vague information. In this paper we investig...

This linguistically motivated work addresses issues in reasoning intelligently over spatial descriptions of simple, static scenes to produce plausible graphical interpretations. It uses a combined representation that couples a semantic network for explicit knowledge with a knowledge base of frames for implicit knowledge. The knowledge base contains generalized rules for interpreting what object...

This paper presents an abstraction of a vague and rapidlychanging environment, an urban disaster space, and a reasoning engine which recognizes and describes the motion of rescue agents as they traverse the disaster space. More specifically, we present a qualitative abstraction of the Robocup Rescue simulation environment, and implement a commentator engine, which constructs a qualitative repre...

This communication is dedicated to multi-facets items (Cruse). “A facet is a word sense that is due to the part-whole structure of an entity and selected by a specific utterance context” (Evans). Firstly, we analyze the semantic pole of multi-facets items so as to elaborate a conceptual modelling within the framework of Langacker’s Cognitive Grammar. Secondly, we suggest that the representation...