1,720,967 research outputs found

    Generating Ontologies through Organizational Modeling

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    Ontologies are recognized as important component of information systems supporting business processes within and across organizations. At modeling time, they contribute identifying key elements from business processes; at development time, their structure can be translated automatically into information system’s source code; finally, at run time, through queries and reasoning, they provide proper data for decision making. Additionally, ontologies provide the basis for sharing and publishing organizational information through the Semantic Web. However, representing organizational information directly into an ontology requires specialized expertise in the ontology engineering domain, thus, ontologies are not generated using a domain language easily for the organizational domain experts. In this work, we propose the use of specialized organizational modeling techniques as starting point to model the organization, thereby, ensuring the proper definition of the organizational knowledge. Then, a mechanism is provided to automatically transform the organizational knowledge in its corresponding ontological representation. Our proposed approach is based on Model Driven Engineering ideas and it involves: a) the development of an ontology representing the metamodel of two widely used organizational modeling techniques i* and Tropos and b) the systematic transformation of i* based modeling primitives into instances of the ontology

    An Ontology-Based Methodology for Integrating i* Variants

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    Many variants of the i* Framework have been developed since its definition. For instance, i* -based modeling languages have been proposed for agent-oriented and service-oriented software development, for modeling risk, security requirements, and so on. The integration of models expressed in i* variants poses interoperability problems. This issue has been faced at different levels, e.g. through unified metamodels, or with an interchange format to depict i* models. In our research work, we propose a practical approach to tackle the interoperability problems, exploiting ontology-based techniques. In a previous work, we presented an ontological representation of the i* metamodel and a tool to automatically transform an i* model to an instance of this ontology. In this position paper, we describe a methodology to integrate i* variants through the ontological representation of the i* metamodel, and a mechanism to support the understanding of models expressed in those variants. As example of application, we present the integration of i*, Tropos and Service-oriented i* by using ontologies and a tool to automatically transform models expressed with those variants in terms of that ontolog

    Enriching Organizational Models through Semantic Annotation

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    Semantic annotation of visual models is useful to provide a precise, formal meaning to model elements, thus making them more understandable to people, enabling a deeper analysis of requirements and automated reasoning. We present an approach for the enrichment of visual models of an organization, with annotations characterized by a semantics de- fined by an organized, structured source of knowledge. In order to carry out the semantic annotation a set of suggestions referring to the use of general and specific ontologies is presented. Moreover, we present a case study to validate the effectiveness of our approach

    Extension and integration of i* models with ontologies

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    Currently, i* is one of the most well founded organizational modelling techniques. Its main feature is the expressibility to represent intentional social relations among stakeholders. In i* models, each modeling component is described explicitly through text labels. However, the process of labeling model elements is usually an activity which is not rigorous and not well documented for designers. Performing the labeling with freedom and subjectivity often results in unclear labels that are not helpful for interoperability and the understanding of the model semantics. In this paper, we deal with this problems by extending i* models with ontologies. Taking advantage of an ontological definition of concepts and well-defined relationships, we improve the unambiguous interpretation of labels and thus interoperability, reuse and machine-readability of a model. A guided process and tool support for the integration of i* models with an ontology are described in this paper

    Towards supporting business services discovery through the integration of organizational models with ontologies

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    We argue that the integration of organizational models with ontologies is useful to discover business services because we consider that a domain concept that integrated different elements of the model could represent new business services to the organization. These additional services could improve the performance of an enterprise and detect new opportunity areas. Moreover, a model annotated with domain concepts improves the analysis process because included additional information can facilitate a semi-automated reasoning among elements. This paper presents an approach to integrate visual models of an organization with a general or specific domain ontology and proposes semantic annotation suggestions. A software tool is presented to implement the integration process, and an illustrative example validates the effectiveness of our approach

    An i* based approach for conceptual modeling of business process technology

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    Abstract. Recently, the use of technologies in organizations is a key feature to automate business process. On the other hand, the conceptual modeling of information systems is about describing the semantics of software applications at a high level of abstraction. However, at present, the modeling of business technologies has not been given at conceptual modeling level. Therefore, in this paper we present an approach to represent technology at conceptual modeling level in order to know the impact that represents to current business processes. We validate and formalize the approach through a real example in the domain of inventory management. In order to model business technologies, the i* modeling language was enriched with business technology modules that has been used to model technology that enables business processes execution. This approach allows system analysts to take right decisions on selecting technology to implement in software applications in early phases of software development

    Measuring social isolation in older adults through Ambient Intelligence and Social Networking Sites

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    Abstract. Early diagnosis of social isolation in older adults can prevent physical and cognitive impairment. This diagnosis usually consists on personal and periodic application of psychological assessment instruments. Unfortunately this is often a tedious process and therefore this is a situation that opens up opportunities in creating new ways of diagnosis. In this context, ambient intelligence and social networking sites are suitable technologies for automatic monitoring of significant changes in social interactions of older adults. However, current instruments that measure social isolation are based on subjective aspects since they only evaluate emotional social support and they do not consider objective aspects. This is the reason why a prediction model based on objective isolation variables is needed in order to measure the social interactions through computing mechanisms. This paper presents the development of a prediction model from the social interaction activities that can be registered through smartphone's sensory capabilities, the personal communications using an online social network and also radio-frequency identification mechanisms. The proposed model will benefit institutions interested in developing technological solutions to detect early stages of social isolation and improve the quality of life of older adults

    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

    Variations on the Author

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    “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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