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https://doi.org/10.1007/118638...
Part of book or chapter of book . 2006 . Peer-reviewed
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A Semantics-Based Graph for the Bib-1 Access Points of the Z39.50 Protocol

Authors: Michalis Sfakakis; Sarantos Kapidakis;

A Semantics-Based Graph for the Bib-1 Access Points of the Z39.50 Protocol

Abstract

A graph of Access Points can be used as a tool in a number of applications such as, clarification and better understanding of their semantics and inter-relations, query transformations, more precise query formulation, etc. We apply a procedure to create a graph of the Access Points, according to their subset relationship, based on the official semantics of the Bib-1 Access Points of the Z39.50 protocol. In our three-step method, we first construct the relationship graph of the Access Points by testing for subset relationship between any two Access Points, and assigning each Access Point a weight value designating the number of the Access Points, which are subsets to it. In the second step, we apply a topological sorting algorithm on the graph, and finally in the last step, we reject the redundant subset relationships of the Access Points.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Top 10%