1,720,977 research outputs found
A Fuzzy Semantics for Semantic Web Languages
No full textAlthough the model-theoretic semantics of the languages used in the Semantic Web are crisps, the need arise to extend them to represent fuzzy data, in the same way fuzzy logic extend first-order-logic. We will define a fuzzy counterpart of the RDF Model Theory for RDF (section 2) and RDF Schema (section 3). Last, we show how to implement the extended semantics in inference rules (section 4).
year = {2005},
pages = {12--22},
masid = {1856198}
}
Although the model-theoretic semantics of the languages used in the Semantic Web are crisps, the need arise to extend them to represent fuzzy data, in the same way fuzzy logic extend first-order- logic. We will define a fuzzy counterpart of the RDF Model Theory for RDF (section 2) and RDF Schema (section 3). Last, we show how to implement the extended semantics in inference rules (section 4)
On the Relation between Trust on Input and Reliability of Output
Full text linkWe are developing a framework to acquire knowledge from
a peer-to-peer network and to evolve it maintaining local
coherence and recoverability of previously acquired data.
In this context, we give trust to informations and informa-
tion sources in a novel way. Informations acquired from the
web is given a truth value, based on previous valuations.
Each peer deal with them using a fuzzy extension of RDF
semantics, apply extra entailment rules derived from an on-
tology, and deal with inconsistencies using belief-revision
techniques. The result is a set of consistent and logically
closed data that can be visualized and annotated by human
users
Estimation of the lower atmospheric turbulence parameters by Sodar-Rass unit and Sonic anemometer.
No full textRaffreddamento di componenti elettronici di potenza mediante dispositivi ad effetto Ranque-Hilsch: simulazione numerica del flusso interno ed esterno
No full textRaffreddamento di componenti elettronici di potenza mediante dispositivi ad effetto Ranque-Hilsch: caratterizzazione sperimentale realizzazione di un prototipo
No full textRaffreddamento di componenti elettronici di potenza mediante dispositivi ad effetto Ranque-Hilsch: simulazione numerica del flusso interno ed esterno
No full text
An Hybrid System for Continuous Learning
No full textWe propose a Multiple Neural Networks system for dynamic environments, where one or more neural nets could no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. We assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net’s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used for making the final choice, by applying two algorithms, the Inclusion based and the Weighted one over all the maximally consistent subsets of the global outcome
Modelling contextualized textual knowledge as a Long-Term Working Memory
No full textA knowledge management system is more than an archive of textual documents; it provides context information, allowing to know which documents where used by people with a common goal. In the hypothesis that a set of textual documents with a common context can be assimilated to the long term memory of a human expert executor, we can use on them mining techniques inspired by the mechanic of human comprehension in expert domains. Text mining techniques for KM task can use a model of the long-term memory to extract meaningful keywords from the documents. The model acts as a dynamic and non-stationary dimensionality reduction strategy, allowing the clustering of context documents according to keyword presence, the classification of external documents according to local criteria, and a better understanding of document content and relatednes
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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