1,721,083 research outputs found
Exploiting Description Logic Reasoners in Inductive Logic Programming Systems: An Experience within the Semantic Web Area
In spite of the increasing effort spent on building ontologies for the Semantic Web, little attention has been paid to the impact of these ontologies on knowledge-based intelligent systems such as Inductive Logic Programming (ILP) systems which were not conceived for dealing with DL knowledge bases. In this paper, we describe an extension of the ILP system AL-QuIn to deal with a background knowledge in the form of OWL DL ontology. The extension consists of a preprocessing of the ontology that mainly relies on the services of the DL reasoner Pellet
A Tableaux-based method for computing least common subsumers for expressive description logics
Effective partitioning of RDF data for distributed query answering: Effective partitioning of RDF data for distributed query answering
The growing popularity of Resource Description Framework (RDF) as a mode for
data exchange and integration has resulted in the increased growth of RDF datasets. Some large scale RDF datasets cannot be stored and processed efficiently on a single node. A common approach to processing large RDF datasets is to partition the data in a cluster of shared-nothing servers and use a distributed query evaluation algorithm. It is commonly assumed in the literature that the performance of query processing in such systems is limited mainly by network communication. In this thesis, we show that this assumption does not always hold and we argue that more important than minimizing network communication, we should prioritise even workload distribution among servers when partitioning. Moreover, we present a new RDF partitioning method based on Louvain community detection, which drastically reduces communication, but without a corresponding decrease in query running times. This is because strongly connected partitions can lead to workload imbalance among the servers. We present a further refinement of our technique that aims to
strike a balance between reducing communication and spreading processing more evenly, and our empirical evaluation shows that such an approach can improve load balance and hence reduce both communication and query times
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
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
Dispelling the Myths Behind First-author Citation Counts
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
Semantics and Reasoning Algorithms for a Faithful Integration of Description Logics and Rules
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