A modelling language is decribed which is suitable for the correlation of information when the underlying functional model of the system is incomplete or uncertain and the temporal dependencies are imprecise. An efficient an incremental implementation is outlined which depends on cost functions satisfying certain criteria. Possibilistic logic and probability theory (as it is used in the applica...

Complex uncertainty expressions such as probably likely and certainly possible naturally occur in everyday conversations. However, they received much less attention in the literature than simple ones. We propose a probabilistic model of the use and interpretation of complex uncertainty expressions based on the assumption that their predominant function is to communicate factual information abou...

The paper presents an approach for handling uncertain information in deductive databases using multivalued logics. Uncertainty means that database facts may be assigned logical values other than the conventional ones true and false. The logical values represent various degrees of truth, which may be combined and propagated by applying the database rules. A corresponding multivalued database sem...

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Proper site characterization is vital for cost effective design of a remediation system. Scarcity of data, spatially and temporally varying site conditions and cost associated with sampling, lead to decisions being made under uncertainty which may be categorized as stochastic, lexical or informal. Probability theory, developed for stochastic uncertainties, is not suitable for representing lexic...

The current information age is associated with increasingly growing amounts of data. Information systems are built to retrieve relevant information or to extract new information, for consumers as well as in an operational and scientific context. Here important decisions are frequently grounded on information systems results. Unfortunately, the data used are not always accurate and systems do no...

Uncertainty in data naturally arises in various applications, such as data integration and Web information extraction. Probabilistic XML is one of the concepts that have been proposed to model and manage various kinds of uncertain data. In essence, a probabilistic XML document is a compact representation of a probability distribution over ordinary XML documents. Various models of probabilistic ...

In this paper, information markets are introduced as a promising mechanism for predicting uncertain outcomes. A model of information markets is proposed. Some fundamental properties on when information markets will converge to the most desirable equilibrium, direct communication equilibrium, are derived.

Managing an organization is a delicate art of achieving alignment between its various internal and external components. In particular, the alignment between an organization’s strategy, its environment and its information system has traditionally been a key management issue and has been largely investigated. However, the contribution of information systems towards achieving alignment between the...

In previous papers, we have presented a logic-based framework based on fusion rules for merging structured news reports. Structured news reports are XML documents, where the textentries are restricted to individual words or simple phrases, such as names and domain-specific terminology, and numbers and units. We assume structured news reports do not require natural language processing. Fusion ru...