Divergent mathematical treatments in utility theory

In this paper I study how divergent mathematical treatments affect mathematical modelling, with a special focus on utility theory. In particular I examine recent work on the ranking of information states and the discounting of future utilities, in order to show how, by replacing the standard analytical treatment of the models involved with one based on the framework of Nonstandard Analysis, diametrically opposite results are obtained. In both cases, the choice between the standard and nonstandard treatment amounts to a selection of set-theoretical parameters that cannot be made on purely empirical grounds. The analysis of this phenomenon gives rise to a simple logical account of the relativity of impossibility theorems in economic theory, which concludes the paper

Enabling a knowledge supply chain: from content resources to ontologies

Abstract. Semantic annotation of content is a crucial building block of making the Semantic Web fly. The (semi-)automatic support of the underlying semantic knowledge supply chain requires contributions from different research disciplines and well-defined pipelines, which step-by-step create such annotations from raw content objects. This paper presents an annotation pipeline that has been designed and implemented as part of the VIKEF project. A clear structuring of the pipeline, the selection of adequate representation formats for the intermediate results (products) as well as for configuration information have been identified as crucial ingredients for an annotation pipeline, that enables the application-specific customization of the pipeline components and the flexible integration of upcoming advanced methods like new extraction methods into the pipeline.

Outline of general model of measurement

Measurement is a process aimed at acquiring and codifying information about properties of empirical entities. In this paper we provide an interpretation of such a process comparing it with what is nowadays considered the standard measurement theory, i.e., representational theory of measurement. It is maintained here that this theory has its own merits but it is incomplete and too abstract, its main weakness being the scant attention reserved to the empirical side of measurement, i.e., to measurement systems and to the ways in which the interactions of such systems with the entities under measurement provide a structure to an empirical domain. In particular it is claimed that (1) it is on the ground of the interaction with a measurement system that a partition can be induced on the domain of entities under measurement and that relations among such entities can be established, and that (2) it is the usage of measurement systems that guarantees a degree of objectivity and intersubjectivity to measurement results. As modeled in this paper, measurement systems link the abstract theory of measuring, as developed in representational terms, and the practice of measuring, as coded in standard documents such as the International Vocabulary of Metrology