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Proxy
Caching
Quantor
Technology,
Q-Catalog
52
Martin Eppler, mcm institute
Proxy Caching (Proxy Cache)
The storage of downloaded pages by a proxy server. A proxy server provides
a channel for multiple users. Proxy caching allows a proxy server to
reduce the number of requests for the same page from the same Web
site. Once a user of a proxy server has requested a page, the proxy server
"recycles" that page to other users who request it.
http://www.ipro.com/utilities/startFAQS.html
Accessed October 1999 by K. Stanoevska, mcm institute
Die Quantor-Technologie ist eine formelle Sprache zur Darstellung und
Verarbeitung der Semantik quantitativer Informationen. Das Q-Kalkül ist ein
Konzept zur Repräsentation und Verarbeitung der Semantik quantitativer
Informationen. Es basiert auf einer Synthese terminologischer Konzepte zur
Repräsentation und Verarbeitung der Semantik bzw. der Bedeutung quantitativer
Informationen und auf stochastischen Verfahren zur deren Auswertung.
Quantor has been developed by Beat F. Schmid*). Unlike most metadatabased
systems, the Q-Technology allows for an intelligent information retrieval
system. This intelligence will also be explained in detail. Within the
concept of the Q-Technology, the Q-Vocabulary is the means for structuring,
categorising and systemising the knowledge, while the underlying Q-
Calculus implements the inference mechanism.
The Q-Calculus is a formal language for the description and classification of
sets of objects. The basic language constructs offered are: Basic sorts,
Basic scales, Attributes.
Basic Sorts delimit sets of objects or abstract concepts by naming them. In
the context of encyclopaedia sorts delimit the domain of discourse.
Basic Scales refer to features of objects and, thus, contain the possible values
of classification criteria.
Attributes combine sorts with scales. The scale of an attribute defines partitions
on the sort. In other words, it defines a classification structure for the
set of objects denoted by the sort. (E.g.: If the scale “Type” is applied to the
sort “Agent” by a defined Attribute “Agent.Type”, then the set of agent objects
is divided in subsets of proactive and reactive agents. The denoted
agents belong either to the one or the other subset.
A Q-Vocabulary forms a set of logically related terms referring to a special
domain of discourse, i.e. „world“.
Basic and derived terms are the foundation for further definition of new derived
terms. The terms of one Q-Vocabulary form a semantic net. The welldefined
relations between the terms can be evaluated by the Q-Inference,
thus allowing for complex and intelligent search.
The Q-Vocabulary terms form a semantic meta-layer over the document,
thereby defining a flexible and content oriented search space over the information
objects, enabling a content and semantic search.
Adding vocabulary terms to a document gives it a meta-description. The
vocabulary terms reflect the objects, which are considered in the document:
Document X {Sort → Attribute}
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