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Fernanda Araujo Baião - One of the best experts on this subject based on the ideXlab platform.
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ER - DCR-KiPN a Hybrid Modeling Approach for Knowledge-Intensive Processes.
Conceptual Modeling, 2019Co-Authors: Flávia Maria Santoro, Tijs Slaats, Thomas Hildebrandt, Fernanda Araujo BaiãoAbstract:Hybrid modeling approaches have been proposed to represent Processes that have both strictly regulated parts and loosely regulated parts. Such Process is so-called Knowledge-Intensive Process (KiP), which is a sequence of activities based on intense knowledge use and acquisition. Due to these very particular characteristics, the first author previously proposed the Knowledge-Intensive Process Ontology (KiPO) and its subjacent notation (KiPN). However, KiPN still fails to represent the declarative perspective of a KiP. Therefore, in this paper, we propose to improve KiPN by integrating it with the declarative Process modeling language DCR Graphs. DCR-KiPN is a hybrid Process modeling notation that combines a declarative Process model language (activities and business rules) with the main aspects of a KiP, such as cognitive elements (decision rationale towards goals, beliefs, desires and intentions), interactions and knowledge-exchange among its participants.
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KiPN: a visual notation for knowledge-Intensive Processes
International Journal of Business Process Integration and Management, 2019Co-Authors: Joanne Manhães Netto, Fernanda Araujo Baião, Tatiana Barboza, Flávia SantoroAbstract:Modelling knowledge-Intensive Processes (KiP) is not an easy task, due to their essential characteristics of being unstructured, based on social interactions, experience and intentions of the actors involved. The knowledge-Intensive Process ontology (KiPO) provides a structural conceptualisation for KiPs, precisely specifying all concepts and relations that are necessary to make a KiP explicit. However, KiPO does not provide a graphical notation, which is crucial for organisation managers, as well as Process managers, modellers and executors. Some visual notations exist for the visual representation of KiP, but they miss at least one of these relevant features in the KiP representation. In this paper, we propose the knowledge-Intensive Process notation (KiPN), a notation for modelling KiP. KiPN is based on the principles of the theory of visual notations to develop the cognitive efficacy of a visual representation. The evaluation of KiPN indicates the cognitive effectiveness and perceived usefulness of KiPN.
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EATIS - Exploratory Search as a Knowledge-Intensive Process
Proceedings of the Euro American Conference on Telematics and Information Systems, 2018Co-Authors: Marcelo Tibau, Sean W. M. Siqueira, Fernanda Araujo Baião, Bernardo Pereira NunesAbstract:This paper presents an exploratory search model capable of assisting the visualization of search patterns and clarifying best practices associated to users' decision-making Process, with implications in areas related to information retrieval, humancomputer interaction, Web searching and educational technology. The Exploratory Search Knowledge-Intensive Process model considers tasks and search activities as part of a chain of actions that help clarify the reasons why a subject is searched. It also supports the visualization on how the information retrieved is used to define decision criteria about which data is worth extracting, to draw inferences, and to create a shortcut to understanding.
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Business Process Management Workshops - Knowledge-Intensive Process: A Research Framework
Business Process Management Workshops, 2018Co-Authors: Flávia Maria Santoro, Fernanda Araujo BaiãoAbstract:Great value is now being credited to the so-called Knowledge-Intensive Processes (KiP) benefiting from the advent and proliferation of social media, smart devices, real-time computing, and technologies for big data. Our research investigates the origin, formalization, and support for KiP towards what we call a Knowledge-Intensive Process-Aware Information System (KiPAIS). We propose a research framework to address the following challenges, aligned with the pillars of the CBPM due to intrinsic relationships among them: (1) eliciting and discovering KiP; (2) representation and support to the implementation of KiP; (3) formal theory capable of explaining KiP; (4) measuring the performance of KiP.
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SBSI - Automatic Validation of Knowledge-Intensive Process Models through Alloy
Proceedings of the XIV Brazilian Symposium on Information Systems - SBSI'18, 2018Co-Authors: Tatiana Barboza, Flávia Maria Santoro, Fernanda Araujo BaiãoAbstract:Knowledge-Intensive Processes (KiP) are poorly structured, dynamic and highly complex. The Knowledge Intensive Process Ontology (KiPO) constitutes a semantically rich conceptualization (encompassing a set of logical rules) about the domain of KiP that may serve as a basis to understand, identify and manage KiP effectively. However, applying KiPO in real scenarios requires its instantiation, validation and simulation in an application level, which are complex tasks for users that typically are not experts in non-trivial issues on conceptual modeling. This work proposes a rule-based strategy to validate or simulate KiP models. The proposed strategy transforms the KiPO rules into the existing specifications in the Alloy logic-based language, using the Alloy Analyzer model analyzer. The main contribution of this research is to show the applicability of the Alloy tool to this context in a case study with four different scenarios. A Process modeler can directly benefit from these results.
R. Natarajan - One of the best experts on this subject based on the ideXlab platform.
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Development of a urea-adduct Process for recovery of n-alkane based diluent from spent PUREX/UREX solvent
Journal of Radioanalytical and Nuclear Chemistry, 2012Co-Authors: Shekhar Kumar, Pranay Kumar Sinha, U. Kamachi Mudali, Abhishek Singh, R. NatarajanAbstract:Urea-adduct Process is commercially used to selectively separate n -alkanes from industrial hydrocarbon mixtures. Authors have explored application of this method for recovery of n -alkane based diluents from spent PUREX/UREX solvent. Traditionally this separation is performed by vacuum distillation, an energy-Intensive Process. The proposed method is simple and does not involve either exotic chemicals or complex Processing steps. Application of urea-adduct Process for recovery of diluent from spent solvent is reported here possibly first time in literature. Physical properties such as densities, viscosities and vapour pressure for irradiated organic solutions were also measured and reported.
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Development of a urea-adduct Process for recovery of n-alkane based diluent from spent PUREX/UREX solvent
Journal of Radioanalytical and Nuclear Chemistry, 2012Co-Authors: Shekhar Kumar, Pranay Kumar Sinha, U. Kamachi Mudali, Abhishek Singh, R. NatarajanAbstract:Urea-adduct Process is commercially used to selectively separate n -alkanes from industrial hydrocarbon mixtures. Authors have explored application of this method for recovery of n -alkane based diluents from spent PUREX/UREX solvent. Traditionally this separation is performed by vacuum distillation, an energy-Intensive Process. The proposed method is simple and does not involve either exotic chemicals or complex Processing steps. Application of urea-adduct Process for recovery of diluent from spent solvent is reported here possibly first time in literature. Physical properties such as densities, viscosities and vapour pressure for irradiated organic solutions were also measured and reported.
Flávia Maria Santoro - One of the best experts on this subject based on the ideXlab platform.
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ER - DCR-KiPN a Hybrid Modeling Approach for Knowledge-Intensive Processes.
Conceptual Modeling, 2019Co-Authors: Flávia Maria Santoro, Tijs Slaats, Thomas Hildebrandt, Fernanda Araujo BaiãoAbstract:Hybrid modeling approaches have been proposed to represent Processes that have both strictly regulated parts and loosely regulated parts. Such Process is so-called Knowledge-Intensive Process (KiP), which is a sequence of activities based on intense knowledge use and acquisition. Due to these very particular characteristics, the first author previously proposed the Knowledge-Intensive Process Ontology (KiPO) and its subjacent notation (KiPN). However, KiPN still fails to represent the declarative perspective of a KiP. Therefore, in this paper, we propose to improve KiPN by integrating it with the declarative Process modeling language DCR Graphs. DCR-KiPN is a hybrid Process modeling notation that combines a declarative Process model language (activities and business rules) with the main aspects of a KiP, such as cognitive elements (decision rationale towards goals, beliefs, desires and intentions), interactions and knowledge-exchange among its participants.
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Business Process Management Workshops - Knowledge-Intensive Process: A Research Framework
Business Process Management Workshops, 2018Co-Authors: Flávia Maria Santoro, Fernanda Araujo BaiãoAbstract:Great value is now being credited to the so-called Knowledge-Intensive Processes (KiP) benefiting from the advent and proliferation of social media, smart devices, real-time computing, and technologies for big data. Our research investigates the origin, formalization, and support for KiP towards what we call a Knowledge-Intensive Process-Aware Information System (KiPAIS). We propose a research framework to address the following challenges, aligned with the pillars of the CBPM due to intrinsic relationships among them: (1) eliciting and discovering KiP; (2) representation and support to the implementation of KiP; (3) formal theory capable of explaining KiP; (4) measuring the performance of KiP.
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SBSI - Automatic Validation of Knowledge-Intensive Process Models through Alloy
Proceedings of the XIV Brazilian Symposium on Information Systems - SBSI'18, 2018Co-Authors: Tatiana Barboza, Flávia Maria Santoro, Fernanda Araujo BaiãoAbstract:Knowledge-Intensive Processes (KiP) are poorly structured, dynamic and highly complex. The Knowledge Intensive Process Ontology (KiPO) constitutes a semantically rich conceptualization (encompassing a set of logical rules) about the domain of KiP that may serve as a basis to understand, identify and manage KiP effectively. However, applying KiPO in real scenarios requires its instantiation, validation and simulation in an application level, which are complex tasks for users that typically are not experts in non-trivial issues on conceptual modeling. This work proposes a rule-based strategy to validate or simulate KiP models. The proposed strategy transforms the KiPO rules into the existing specifications in the Alloy logic-based language, using the Alloy Analyzer model analyzer. The main contribution of this research is to show the applicability of the Alloy tool to this context in a case study with four different scenarios. A Process modeler can directly benefit from these results.
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CRIWG - XCuteKIP: Support for Knowledge Intensive Process Activities
Lecture Notes in Computer Science, 2015Co-Authors: Ednilson Veloso Moura, Flávia Maria Santoro, Fernanda Araujo BaiãoAbstract:The century of information puts the organizational Processes of which the work highlights knowledge as the main asset into perspective, as well as an engine generator of competitive advantage. The nature of Processes that include Intensive use of knowledge points out several features that can be exploited to assist in adding value to products and services supported by organizations. These Processes are known as Knowledge-Intensive Processes. This article presents the XcuteKIP architecture that aims to support the participants of these Processes. Particularly, the proposal assists in the execution of knowledge-Intensive collaborative activities by providing semi-automatic recommendations of collaborative services. The approach applies the concepts of a service-oriented architecture subsidized by WGWSOA and a semantic modeling Ontology supported by KIPO.
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KIPO: the knowledge-Intensive Process ontology
Software & Systems Modeling, 2015Co-Authors: Juliana Baptista Dos França, Fernanda Araujo Baião, Joanne Manhães Netto, Juliana E. s. carvalho, Flávia Maria Santoro, Mariano PimentelAbstract:A business Process is a sequence of activities that aims at creating products or services, granting value to the customer, and is generally represented by a business Process model. Business Process models play an important role in bridging the gap between the business domain and the information technology, increasing the weight of business modeling as first step of software development. However, the traditional way of representing a Process is not suitable for the so-called Knowledge-Intensive Processes (KIP). This type of Process comprises sequences of activities based on Intensive acquisition, sharing, storage and (re)use of knowledge, so that the amount of value added to the organization depends on the actor knowledge. Current research in the literature points to the lack of approaches to make this kind of Process explicit and strategies for handling information that is necessary for their understanding and support. The goal of this paper is to present KIPO—a knowledge-Intensive Process ontology, which encompasses a clear and semantically rich definition of KIPs, and to discuss the results of a case study to evaluate KIPO with regard to its applicability and capability of making all relevant knowledge embedded in a KIP explicit.
Leon J Osterweil - One of the best experts on this subject based on the ideXlab platform.
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a comprehensive framework for using iterative analysis to improve human Intensive Process security an election example
2017Co-Authors: Leon J Osterweil, Matt Bishop, Heather M Conboy, Huong Phan, Borislava I Simidchieva, George S Avrunin, Lori A Clarke, Sean PeisertAbstract:This paper presents an approach for analyzing complex Processes, including those involving human agents, hardware devices, and software systems, and illustrates the utility of this approach by analyzing part of a Process for holding an election. In the work described here, the Little-JIL Process definition language is used to create a precise and detailed model of an election Process. Given this Process definition, two forms of automated analysis are used to explore the possibility that specified security policies could be undermined. Model checking is first used to identify Process execution sequences that violate event-sequence security policies and other properties. After these are addressed, fault-tree analysis is applied to identify when the misperformance of steps might allow security breaches or other undesirable outcomes to occur. The results of these analyses can provide assurance about the Process, suggest areas for improvement, and, when applied to a modified Process definition, evaluate proposed changes in the Process.
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BPM - Specifying Flexible Human Behavior in Interaction-Intensive Process Environments
Lecture Notes in Computer Science, 2014Co-Authors: Christoph Dorn, Schahram Dustdar, Leon J OsterweilAbstract:Fast changing business environments characterized by unpredictable variations call for flexible Process-aware systems. The BPM community addressed this challenge through various approaches but little focus has been on how to specify (respectively constrain) flexible human involvement: how human Process participants may collaborate on a task, how they may obtain a joint decision that drives the Process, or how they may communicate out-of-band for clarifying task-vital information. Experience has shown that pure Process languages are not necessarily the most appropriate technique for specifying such flexible behavior. Hence selecting appropriate modeling languages and strategies needs thorough investigation. To this end, this paper juxtaposes the capabilities of representative human-centric specification languages hADL and Little-JIL and demonstrate their joint applicability for modeling interaction-Intensive Processes.
Shekhar Kumar - One of the best experts on this subject based on the ideXlab platform.
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Development of a urea-adduct Process for recovery of n-alkane based diluent from spent PUREX/UREX solvent
Journal of Radioanalytical and Nuclear Chemistry, 2012Co-Authors: Shekhar Kumar, Pranay Kumar Sinha, U. Kamachi Mudali, Abhishek Singh, R. NatarajanAbstract:Urea-adduct Process is commercially used to selectively separate n -alkanes from industrial hydrocarbon mixtures. Authors have explored application of this method for recovery of n -alkane based diluents from spent PUREX/UREX solvent. Traditionally this separation is performed by vacuum distillation, an energy-Intensive Process. The proposed method is simple and does not involve either exotic chemicals or complex Processing steps. Application of urea-adduct Process for recovery of diluent from spent solvent is reported here possibly first time in literature. Physical properties such as densities, viscosities and vapour pressure for irradiated organic solutions were also measured and reported.
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Development of a urea-adduct Process for recovery of n-alkane based diluent from spent PUREX/UREX solvent
Journal of Radioanalytical and Nuclear Chemistry, 2012Co-Authors: Shekhar Kumar, Pranay Kumar Sinha, U. Kamachi Mudali, Abhishek Singh, R. NatarajanAbstract:Urea-adduct Process is commercially used to selectively separate n -alkanes from industrial hydrocarbon mixtures. Authors have explored application of this method for recovery of n -alkane based diluents from spent PUREX/UREX solvent. Traditionally this separation is performed by vacuum distillation, an energy-Intensive Process. The proposed method is simple and does not involve either exotic chemicals or complex Processing steps. Application of urea-adduct Process for recovery of diluent from spent solvent is reported here possibly first time in literature. Physical properties such as densities, viscosities and vapour pressure for irradiated organic solutions were also measured and reported.