1,720,970 research outputs found
Effective Ontology Management in Virtual Learning Environments
No full textOntologies define a common vocabulary to share domain
information. Many researches have proved the importance of ontologies as a main technology for knowledge modelling. Moreover, many authors have emphasised the use of ontologies to augment the effectiveness of the management aspects of e-learning resources. In this paper, we present a set of methodologies and techniques for the definition of a Semantic Virtual Learning Environment (SVLE) whose purpose is to provide customised and contextualised learning experiences. These experiences are achieved exploiting the implicit knowledge modelling of the reference domain through an extensive use of ontology management techniques
Application Scenarios for a Learning Grid
No full textThis chapter analyses the adoption of the Learning Grid for the
development of challenging Application Scenarios in the eLearning domain. The Application Scenarios described in this chapter create a breakthrough in current learning practices. Instead of adopting a traditional information transfer paradigm, the proposed scenarios, in fact, promote and support a learning paradigm centred on the learner and focused on knowledge construction using experiential based and collaborative learning approaches in a contextualised, personalised and ubiquitous way. The purpose of our analysis is to understand and argue about the potential advantages of adopting the Learning Grid for the proposed scenarios. Preliminary findings show that Learning Grid can be considered an enabling technology for the presented scenarios since its features (e.g. dynamicity, adaptiveness, support for Virtual Organisation creation and management, advanced mechanisms for resources and services discovery on the basis of Quality of Services) are key to improve personalisation and knowledge construction in the learning process as well as communication and collaboration inside learning groups
From Classic User Modeling to Scrutable User Modeling
No full textUser Modeling still represents a key component for a large number of personalization systems. Maintaining a model for each user, a system can suc- cessfully personalize its contents and use available resources accordingly. On- tologies, as a shared conceptualization of a particular domain, can be suitably exploited also in this area. In this paper we explain some concepts about user modeling, particularly focusing on scrutability and its importance in ontology- based user modeling systems
Ontology extraction for knowledge reuse: The e-learning perspective
No full textOntologies have been frequently employed in order to solve problems derived from the management of shared distributed knowledge and the efficient integration of information across different applications. However, the process of ontology building is still a lengthy and error-prone task. Therefore, a number of research studies to (semi-)automatically build ontologies from existing documents have been developed. In this paper, we present our approach to extract relevant ontology concepts and their relationships from a knowledge base of heterogeneous text documents. We also show the architecture of the implemented system and discuss the experiments in a real-world context. © 2011 IEEE
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
A Semantic-Based Architecture for Collaborative Enterprise Management: The ARISTOTELE Platform
No full textWe present the semantic-based architecture of the ARISTOTELE platform, which is based on the definition and development of models, methodologies, technologies and tools to support the emergence of competences and creativity within workers by self-organizing acquisition, processing and sharing of new information inside knowledge-intensive organizations. ARISTOTELE's architecture relies on semantic data by means of a number of conceptual models, which define the context of interest for an enterprise via a set of concepts and relationships among them. Instances of these models are used to annotate content data, thus
creating a semantic network of information that actualizes the Linked Data paradigm within the information space of an organization. In this paper we describe the building elements of the ARISTOTELE platform, the conceptual models which lie behind them and the core Linked Data Layer component responsible of managing information for the whole system
A Novel Recognition Approach for Sketch-Based Interfaces
No full textMultimodal interfaces can be profitably used to support the more and more complex applications and services which support human activities in everyday life. In particular, sketch-based interfaces offer users an effortless and powerful communication way to represent concepts and/or commands on different devices. Developing a sketch-based interface for a specific application or service is a time-consuming operation that requires the re-engineering and/or the re-designing of the whole recognizer framework. This paper describes a definitive framework that allows users to define each kind of sketch-based interface, using freehand drawing only. The definition of the interface and its recognition process are performed using our developed Sketch Modeling Language (SketchML). © 2009 Springer Berlin Heidelberg
ARISTOTELE: An environment for managing knowledge-intensive enterprises
No full textWe present ARISTOTELE, a platform for managing activities of knowledge-intensive enterprises, via the integration of tools and services for knowledge discovery, competence management, collaborative work and adaptive learning. We first present an overview of the platform with its main characteristics and its high-level tools. Then, we delve deeper into the conceptual models established for the representation of semantic data and knowledge coming from the inside as well as the outside of the adopting organization. Subsequently, we detail and motivate its architectural choices, by describing the services and data layers building it up and how they fit within the whole platform
Variations on the Author
Full text link“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
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