1,721,024 research outputs found
Statistical Pattern Recognition Meets Formal Ontologies
In this paper we propose a series of novel lines of research emerging from the encounter of computer vision and formal ontologies. The main underlying idea is that a genuine visual knowledge can only emerge by the integration of the algorithmic and the semantic layer, which are typical of the two disciplines. We also present some early attempts at applying the proposed hybrid approach to tackle some important and still unsolved issues
Towards an ontology-based framework to store and recover memories for creative architectural projects
Open ontology-driven sociotechnical systems: Transparency as a key for business resiliency
Most business and social organisations can be seen nowadays as complex sociotechnical systems (STSs), including three components: technical artifacts, social artifacts, and humans. Within social artifacts, a special role have norms, which largely influence the overall system's behavior. However, norms need to be understood, interpreted, negotiated, and actuated by humans, who may of course deviate from them, or even decide to change them. STSs are therefore essentially prone to failure: critical situations are part of STS's life, and may sometimes lead to tragic outcomes. That's why resilience to failure must be built into such systems, and is a crucial parameter to determine their quality. We argue in this paper that, to achieve a high level of resilience, transparency is the key: actors within the system need to take a reflective stance toward the system itself. In other words, an STS must be open to its actors, which by observing and understanding its dynamics can take the appropriate initiatives in presence of unforeseen problems, possibly modifying the system at run time. Ontological models can play a crucial role in this context. However, we need to make a radical change in our modelling approach, shifting the focus of analysis from ontology-driven information systems to ontology-driven sociotechnical systems
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
Rationality, Autonomy and Coordination: the Sunk Costs Perspective
Our thesis is that an agent1 is autonomous only if he is capable, within a non predictable environment, to balance two forms of rationality: one that, given goals and preferences, enables him to select the best course of action (means-ends), the other, given current achievements and capabilities, enables him to adapt preferences and future goals. We will propose the basic elements of an economic model that should explain how and why this balance is achieved: in particular we underline that an agent’s capabilities can often be considered as partially sunk investments. This leads an agent, while choosing, to consider not just the value generated by the achievement of a goal, but also the lost value generated by the non use of existing capabilities.We will propose that, under particular conditions, an agent, in order to be rational, could be led to perform a rationalization process of justification that changes preferences and goals according to his current state and available capabilities. Moreover, we propose that such a behaviour could offer a new perspective on the notion of autonomy and on the social process of coordination
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
Multi-scale f-formation discovery for group detection
We present an unsupervised approach for the automatic detection of static interactive groups. The approach builds upon a novel multi-scale Hough voting policy, which incorporates in a flexible way the sociological notion of group as F-formation; the goal is to model at the same time small arrangements of close friends and aggregations of many individuals spread over a large area. Our technique is based on a competition of different voting sessions, each one specialized for a particular group cardinality; all the votes are then evaluated using information theoretic criteria, producing the final set of groups. The proposed technique has been applied on public benchmark sequences and a novel cocktail party dataset, evaluating new group detection metrics and obtaining state-of-the-art performances
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
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