Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming
Nada Lavrač, Miha Grčar, Blaz Fortuna, Paola Velardi

Zusammenfassungen
In this chapter, we present selected techniques for social network analysis and text mining and interpret the results of exploratory analysis of the social network of researchers in inductive logic programming (ILP), based on the ILP scientific publications database collected within the ILPnet2 project. Part of the analysis was performed with the Pajek software for large (social) network analyses, where the central entity of the analysis was the author, related to other authors by coauthorship links, weighted by the number of his or her publications registered in the ILPnet2 database. The chapter presents also a novel methodology for topic ontology learning from text documents. The proposed methodology, named OntoTermExtraction (Term Extraction for Ontology learning), is based on OntoGen, a semiautomated tool for topic ontology construction, upgraded by using an advanced terminology extraction tool in an iterative, semiautomated ontology construction process. The approach was successfully used for generating the ontology of topics in Inductive Logic Programming, learned semiautomatically from papers indexed in the ILPnet2 publications database.
Von Nada Lavrač, Miha Grčar, Blaz Fortuna, Paola Velardi im Buch Computational Social Network Analysis (2009) im Text Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming
Anderswo finden
Anderswo suchen 
Biblionetz-History 
Falls Ihnen diese Seite gefallen hat
Webtechnisches
Inbound: 000001
Besucher(08.18): 000001 *
Besucher Total : 000075 *
Erster Eintrag:25.07.2010
Letzter Eintrag:25.07.2010
HTML-File: 25.09.2018
(c) beat.doebe.li 1996-2018 Dies ist eine Seite aus Beats Biblionetz (https://beat.doebe.li/bibliothek/)
Mail: bibliothekar@doebe.li Die offizielle und stabile Adresse lautet https://beat.doebe.li/bibliothek/t12034.html
Beats Biblionetz ist Teilnehmer des Partnerprogramms von Amazon Europe S.à.r.l.
Beat Döbeli Honegger ist bei Google+
*(ohne Suchmaschinen und ohne Proxy-Verluste)