1,720,962 research outputs found
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
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
Modeling and interoperability: a high level perspective
No full textAbstract
This thesis tackles modeling and interoperability issues in different con-
texts. We started by studying different Semantic Web models with the goal of
translating from one to another by means of a model independent approach.
The metamodel approach that we follow is called MIDST and is based on the
concept of supermodel, a generic model that we use to describe other models.
We have extended this approach, to allow the interoperability between Seman-
tic Web formalisms. MIDST leverage on a relational dictionary that we have
exploited as a repository for RDF documents. The logical organization that we
have defined, together with tuning techniques at the physical level, allows us
to obtain a framework for storing and querying RDF, that produced great re-
sults in terms of performance and scalability. Following the experience gained
in modeling Semantic Web models, we have produced a new enhancement in
MIDST expressivity, allowing the interchange of information between ontolo-
gies and databases. Changing context, this thesis finally describe a framework
for the modeling of time in data-intensive Web sites. We here developed a tool
that allows to automatically generate the Web site as a consequence of the
design choices
ARISTOTELE: A Semantic-driven Platform for Enterprise Management
No full textWe present the architecture of the ARISTOTELE platform, a semantic-based collaborative system for managing enterprises and organizations, specifically designed to include a variety of features. These range from top-level functionalities like managing enterprise processes and building innovation, to finer-grained tasks like customized support for the daily activities of workers, including the creation and execution of personalized learning activities via an adaptive/non-adaptive strategy and the acquisition and usage of collaborative knowledge by the members of the organization. Here, we motivate ARISTOTELE's compliance with a known Enterprise Architecture framework and describe the design methodology behind the platform and its building blocks, beginning with its data layer and then proceeding to detailing its core services and the higher-level tools built on top of them
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
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
A Novel Approach for Practical Semantic Web Data Management
No full textThe growing importance of RDF as a tool for describing information
on the Web has risen a number of interesting works regarding
the management of RDF documents. The effective management of RDF
data has been an increasingly pressing active area of the current research.
However current data management solutions for RDF data present the
following shortcomings: (i) they often define new query languages difficult
to integrate in database applications, with a consequent lack of
uniformity among the different approaches, (ii) they present extendibility
limitations, and (iii) most of them are considered complicated by the
final user. In this paper we propose a feasible and intuitive approach for
practical RDF management, providing a logical organization technique
for RDF data, making use of a formalism to represent concepts and properties
of RDF and RDF(S), and an extension of a DataLog rule system
for querying RDF documents
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Full text linkWe 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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