An agent-based system to build project memories during engineering projects

Monticolo, Davy; Mihăiţă, Adriana-Simona; Darwich, Hind; Hilaire, Vincent

doi:10.1016/j.knosys.2013.12.022

Cited by 19 publications

(10 citation statements)

References 30 publications

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“…Information, knowledge and learning are the main assets of the new model of intelligent organization, and it has now become the best way to compete [3]. Information is the external stimulation obtained by the organization, causing a change in its continuing action [4].…”

Section: Intelligent Organizationsmentioning

confidence: 99%

“…As an instance, Monticolo et al [3] explain how six different types of knowledge are capitalized in project memories and used/reused to solve problems or assist actors during engineering projects.…”

Section: Intelligent Organizationsmentioning

confidence: 99%

“…Aguilar et al [23] explain the feasibility of the MAS features within the enterprise planning process. Finally, Monticolo et al [3] describe how ontologies and MAS can be combined to manage heterogeneous and distributed information and knowledge, and establish a cooperative manner to solve problems and use/reuse knowledge.…”

Section: Intelligent Organizationsmentioning

confidence: 99%

“…3 If the needed information is not in the blackboard, send a requirement message to the BCA, and wait for its response. 4 Access the blackboard to read the information.…”

mentioning

confidence: 99%

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Leveraging information for high level-of-abstraction organizational processes

Dalmau-Espert¹,

Largo²,

Compañ³

et al. 2016

Int. J. DNE

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Nowadays, Big Data techniques have made possible to obtain interesting low-level information from large amounts of data. However, the information is often difficult to be enriched enough to aid in high-level organizational processes. The objective of this work is to define a model to allow the use of available information for the design and implementation of high level-of-abstraction processes that take place in the organizations. Particularly, this paper is focused on the strategic planning (SP) process, one of the most complex and abstract processes in any company. So far, there are very few successful attempts to automate this process, which is usually based on manual tasks. At the most, the results from the automatic data analysis are generated and used as reports and are not integrated in the process. A further step is proposed, posing a SP model based on a multi-agent system with a blackboard, which is used as a means of communication and storage of the generated information. The information is described using ontology to formalize both the SP process and the information used in each step. The combination of these elements enables the participation, interaction and sharing of information and knowledge of the participants in the process. The accumulated knowledge allows the use of previous experience to automate the process and improve the decision making. In short, the proposed model is a formal, comprehensive, agile and flexible solution to perform the process of SP in organizations today leveraging of the enormous amount of available data and the gathered experience.

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Section: Intelligent Organizationsmentioning

confidence: 99%

Section: Intelligent Organizationsmentioning

confidence: 99%

Section: Intelligent Organizationsmentioning

confidence: 99%

“…3 If the needed information is not in the blackboard, send a requirement message to the BCA, and wait for its response. 4 Access the blackboard to read the information.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Leveraging information for high level-of-abstraction organizational processes

Dalmau-Espert¹,

Largo²,

Compañ³

et al. 2016

Int. J. DNE

View full text Add to dashboard Cite

show abstract

“…It is in this context that we have exploited the proposal of a computer domain ontology to achieve our main research goal which is the capitalization of knowledge from computer project memory. A project memory can be defined as an explicit and continuous representation of knowledge, data or data source within an organization which contains the context in which the knowledge has been created [3]. Therefore, project memory allow professional actors to reuse and share knowledge, which has been capitalized from previous projects in order to carry out a new one [4].…”

Section: Introductionmentioning

confidence: 99%

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Mejri¹,

Hanafi²,

Ghezala³

2020

IJACSA

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Ontologies, nowadays, play a primordial role in the representation, the re-use and the sharing of knowledge of a well given domain in a consensual and explicit way more precisely in the computing field. It is in this context that we have proposed a domain ontology baptised onto-computer-project which presents the key to our research goal. This essential goal is to arrive at a final step to elaborate a knowledge based system for computer projects reusing. The aimed system is essentially based on the construction of a memory projects. This memory projects could be defined as a collection of historical and achieved projects around the sphere of computer. This sphere is so wide including many subfields beginning at the database, software engineering fields and arriving at the fields of artificial intelligence, computer vision and so on. This research work requires at first to construct a well-defined ontology in the way to structure and to unify vocabulary often shared by multi actors in the domain of computer projects. To concretize this goal, our paper will describe a construction approach for the proposed domain ontology which is mainly based on an existing methodology named "methontology". The proposed ontology construction approach, which is composed of seven steps, is the result of a comparative study between some ontology construction approaches belonging to different categories of methodology. In fact, we can distinguish four main categories of ontology development approaches: ontology construction approaches from zero, text-based construction approaches, building approaches based on the reuse of already existing ontologies, and crowd souring-based approaches. In our research work, we are interested by the approach of building ontology from zero. Indeed, the construction of the proposed ontology follows an autonomous approach which is not based on any other existing ontology or the updating of an already constructed ontology. In addition, in this paper we are interested by the problem of validating the content of domain ontology and in this context we have proposed an incremental approach for validating the proposed ontology which is composed of six steps. In this context we have studied some ontology validation approaches: those which are questionnaire based, others based on question answering. The problem here that all approaches studied are single actor approaches where a single validation actor can validate the entire ontology and this by applying the semantic and the structural validation definitively with no return. The main originality of our validation approach consists essentially of three criteria: the incremental validation, the multi-intervention, and the respecting of the "V" cycle. In fact, the passage from one validation step to another results in an update of the initial ontology and this by the intervention of three experts (project management expert, a project computer expert and a specialist in ontology engineering). Our proposal approach requires a feedback between all the validation phase...

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Characterizing engineering work in a changing world: Synthesis of a typology for engineering students' occupational outcomes

Magarian

Seering

2021

J of Engineering Edu

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Background: Engineering education research frequently examines students' persistence (or intentions to persist) into engineering careers from engineering school. However, the variety of engineering-related occupations has increased substantially in recent years, challenging researchers' abilities to discern what constitutes persistence in engineering.Purpose: This article investigates the question: How can researchers categorize students' occupational outcomes in terms of engineering relatedness in a manner that enables consistency across future studies and that is informed by enduring conceptions of engineering work? We develop an occupational outcomes typology in response to this question.Scope/Method: We employed systematic literature reviews to substantiate the typology. In total, we reviewed 259 sources published between 1966 and 2016.Review 1 examined sources discussing or debating the presence of unifying occupational attributes across engineering practice. Review 2 examined sources discussing common job functions constituting unifying criteria identified in Review 1. Review 3 examined sources discussing specific work activities associated with functions identified in Review 2. Finally, Review 4 examined job profile data from the year 2017 on 1100 job titles to identify contemporary nonengineering-titled jobs involving activities similar to activities found in Review 3.Conclusions: Engineering practitioners' possession of design responsibilitytheir responsibility for products' efficacy and safety through governance of designs (new or existing)-has served as a unifying work attribute over time.We find that the 21st century has given rise to interrelated roles encompassing and surrounding conventional engineering work and propose a typology that categorizes occupations in relation to engineering. The typology offers a responsibility-based framing of engineering that helps educators illustrate key distinctions among contemporary engineering-related occupations.

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An agent-based system to build project memories during engineering projects

Cited by 19 publications

References 30 publications

Leveraging information for high level-of-abstraction organizational processes

Leveraging information for high level-of-abstraction organizational processes

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Characterizing engineering work in a changing world: Synthesis of a typology for engineering students' occupational outcomes

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