A Knowledge Management System Embedded in the New Semantic Technologies

Mazilescu, Vasile

doi:10.5772/32587

Cited by 2 publications

(4 citation statements)

References 27 publications

(15 reference statements)

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“…Real-time reasoning has specific features: real-time operation often involves a temporal reasoning, but contrary this is not always true. Intelligent agent software solutions are used to prevent fraud attempts and are preferred by some companies in analyzing unstructured data such as online conversations or increasing virtual assistants' efficiency [34,41]. Agents are autonomous, adaptive software products that can be used to perceive the environment they come from.…”

Section: Current Ai Featuresmentioning

confidence: 99%

“…Of course, in this overall context Big Data will be important in identifying the various changes and trends of the business environment, which are extremely useful in the synthesis of strategies and plans of different companies. In the perspective, we can also discuss about Web 5.0 for which the various attributes still poorly drawn are also based on intelligence characteristics [41,46,47].…”

Section: We Can Use Cts To Develop Web40mentioning

confidence: 99%

“…There are many potential opportunities not only for classical automation but also for the integration of AI elements. For example, a financial sector employee who wishes to analyze market trends to run an investment can receive information through intelligent solutions that will help him make the best decision [36,41].…”

Section: Intelligent Processes Automationmentioning

confidence: 99%

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"Technologies that through Synergic Development can support the Intelligent Automation of Business Processes"

Mazilescu¹,

Micu²

2019

EAI

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Intelligent Automation (InA) activities using large and heterogeneous data and knowledge is an old concern in IT&C and computer science, being the next generation of Robotic Process Automation (RPA) at the enterprise level. Software systems and better solutions are developed to integrate business logic rules at the application level and to provide efficient work tools for accurate results. By designing such systems, the aim is to obtain better decisions as soon as possible in real time and make more efficient the process through which they can be made. InA is a holistic approach based on the variety of existing technologies based on Digital Transformation (DT) and automation of manual activities, using for this purpose digital workers, Artificial Intelligence (AI), cloud computing, Big Data. In this world of consumption, much of the technology we introduce into our daily lives is based on AI models and methods. Cognitive Technologies (CTs) are being developed using more and more specialized platforms. This is how different automation and intelligent capabilities are developed, which in turn adds a semantic connectivity between people and information systems [41]. The present paper analyzes the main important technologies that can effectively support the development, automation and robotization of business processes (BPA/R), identifying in a rational way how they can be applied for a synergic balance of tasks between people and computing systems, with a corresponding increase of the value added of business processes.

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Section: Current Ai Featuresmentioning

confidence: 99%

Section: We Can Use Cts To Develop Web40mentioning

confidence: 99%

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"Technologies that through Synergic Development can support the Intelligent Automation of Business Processes"

Mazilescu¹,

Micu²

2019

EAI

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“…From the object-oriented point of view, inference rules can be implemented as: rules of rank 0 (compel the behaviour of an individual element, such as a class or an instance, these rules are valid for a class); rules of rank 1, also known as pattern matching rules, operating on sets of instances by processing an action on each instance of a set or on each t-uple of the instance if the matching expands to more classes. Pattern matching rules are usually executed by a RETE algorithm [1,2]. When a system is developed through prototyping, each phase of the process can be checked and validated without waiting to complete the system, as is the case in conventional information systems.…”

Section: Introductionmentioning

confidence: 99%

An Expert System for a Business Problem

Mazilescu¹

2017

The International Conference "The Risk in Contemporary Economy" (Dunarea De Jos University. Faculty of Economics)

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| Galati -Romania The dynamic nature of economic processes and phenomena, their complexity and diversity, the prospect of economic globalization and decentralization, have determined the decision makers to focus on continually improving the methods and techniques aimed to support them, both at the microeconomic and the macroeconomic level. The work in hand compares Business Intelligence Systems (BIS) in relation to Intelligent Business Systems (IBS). We highlight the ways to shift from an E-business system to an IBS system, provide a solution for an Intelligent Business System based on Production Rules (IBSPR). We use this solution in developing a four levels

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A Knowledge Management System Embedded in the New Semantic Technologies

Cited by 2 publications

References 27 publications

"Technologies that through Synergic Development can support the Intelligent Automation of Business Processes"

"Technologies that through Synergic Development can support the Intelligent Automation of Business Processes"

An Expert System for a Business Problem

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