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This study proposes a new methodology that allows for the generation of scientograms of major scientific domains, constructed on the basis of cocitation of ISI categories, and pruned using Pathfinder Network, with a layout determined by algorithms of the spring-embedder type (Kamada-Kawai), then corroborated structurally by Factor analysis. We present the(More)
The classi®cation of documents from a bibliographic database is a task that is linked to processes of information retrieval based on partial matching. A method is described of vectorizing reference documents from LISA which permits their topological organization using Kohonen's algorithm. As an example a map is generated of 202 documents from LISA, and an(More)
We propose the use of ISI-JCR categories as units of cocitation and measurement for the construction of heliocentric maps. The use of a spatial metaphor allows us to illustrate, analyze and compare domains in terms of the categories and their interconnections or links. We can also move around within the structure of these domains for further analysis, and(More)
Purpose – To propose a categorization of the different conflation procedures at the two basic approaches, non-linguistic and linguistic techniques, and to justify the application of normalization methods within the framework of linguistic techniques. Design/methodology/approach – Presents a range of term conflation methods, that can be used in information(More)
We compared the application of different algorithms to document clustering. The algorithms studied were Fuzzy C-Means, Fuzzy ART, Fuzzy ART for Fuzzy Clusters, Fuzzy Max-Min, and the Kohonen neural network (only the first is not a neural network). We generated a testbed from LISA, using some of the descriptors corresponding to the different records for the(More)