192,779 research outputs found

    A Pattern-based Approach to Conceptual Clustering in FOL

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    This paper presents a novel approach to Conceptual Clustering in First Order Logic (FOL) which is based on the assumption that candidate clusters can be obtained by looking for frequent association patterns in data. The resulting method extends therefore the levelwise search method for frequent pattern discovery. It is guided by a reference concept to be refined and returns a directed acyclic graph of conceptual clusters, possibly overlapping, that are subconcepts of the reference one. The FOL fragment chosen is AL-log, a hybrid language that merges the description logic ALC and the clausal logic DATALOG. It allows the method to deal with both structural and relational data in a uniform manner and describe clusters determined by non-hierarchical relations between the reference concept and other concepts also occurring in the data. Preliminary results have been obtained on DATALOG data extracted from the on-line CIA World Fact Book and enriched with a ALC knowledge base

    Vatopedinus 507, fol. 153

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    Vatopedinus 507, fol. 153. In: Mélanges d'archéologie et d'histoire, tome 22, 1902. p. 470

    Vatopedinus 507, fol. 153

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    Vatopedinus 507, fol. 153. In: Mélanges d'archéologie et d'histoire, tome 22, 1902. p. 470

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    7. Laboratoire de zoologie maritime de Villefranche

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    Barrois Jules Henri, Fol Hermann. 7. Laboratoire de zoologie maritime de Villefranche. In: Rapport sur l'École pratique des hautes études, 1889-1892. 1889. p. 129

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt

    The birth of monsters in the Maltese Islands in the 17th and 18th centuries

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    Ideas about the congenital malformations are related to the mythological, moral and religious concepts. In this article the author draws attention to two manuscript descriptions of deformed neonates by a midwife and by a physician in 1630 and 1788 respectively. These manuscripts are the earliest accounts of the births of teratogenic babies known to have been recorded in the Maltese Islands. Furthermore, they provide insight into the ecclesiastical requirements of the time regulating church burial for the deformed neonates.peer-reviewe

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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