A Cognitive Integrated Management Support System for Enterprises

Hernes, Marcin

doi:10.1007/978-3-319-11289-3_26

Cited by 18 publications

(8 citation statements)

References 4 publications

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“…For enterprise information systems it very often happens that the process of decision making is delegated to autonomous unites and there can arise conflicts (diversity) between them. For achieving a consensus the methods of computational collective intelligence can be very useful (Hernes 2014). Besides, the problems of processing knowledge from autonomous sources also very often appear in many business processes.…”

Section: Computational Collective Intelligence For Enterprise Information Systemsmentioning

confidence: 99%

Computational collective intelligence for enterprise information systems

Nguyen

Hwang

Szczerbicki

2019

Enterprise Information Systems

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Section: Computational Collective Intelligence For Enterprise Information Systemsmentioning

confidence: 99%

Computational collective intelligence for enterprise information systems

Nguyen

Hwang

Szczerbicki

2019

Enterprise Information Systems

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“…The CIMIS consist of following sub-systems: fixed assets, logistics, manufacturing management, human resources management, financial and accounting, controlling, CRM, business intelligence. These sub-systems are described in detail in [16]. In this paper we focus on summarization module, which is a part of CRM sub-system (Fig 2.).…”

Section: Automatic Summarization In the Cimismentioning

confidence: 99%

“…Thus, often the processes of the analysis and summarization of the text documents are made automatically by computer systems, including the integrated management information systems. They may be constructed, for example, on the basis of the number of the cognitive agents [16]. Generally speaking, the cognitive agent is a smart program that not only concludes on the basis of the data received, takes specific actions to achieve the desired objective (this can be, for example, decision support), but also learns at the same time gaining experience.…”

Section: Introductionmentioning

confidence: 99%

The automatic summarization of text documents in the Cognitive Integrated Management Information System

Hernes

Maleszka

Nguyên

et al. 2015

Annals of Computer Science and Information Systems

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Abstract-This paper presents issues related to a process of the automatic summarization of the text documents connected with economic knowledge performed by the cognitive agents in an integrated management information system. In contemporary companies, the unstructured knowledge is essential, mainly due to the possibility of obtaining better flexibility and competitiveness of the organization. Therefore more often the decision are taken in the enterprises on the basis of the summaries. The first part of the paper shortly presents the state-of-the-art in the considered field; next, the summarization process in the Cognitive Integrated Management Information System is characterized; the case study related with the summaries generating agent is presented in the last part of this paper. I. INTRODUCTIONN contemporary companies the unstructured knowledge is essential, mainly due to the possibility of obtaining better flexibility and competitiveness of the organization. The unstructured knowledge supports structuralized knowledge to a high degree. It is mainly stored in natural language, so it is processed with symbols (not numbers). One example of unstructured knowledge is experts' opinion about a predicted currency trading. Some experts may argue that the exchange rate of the currency will rise, others that it will decrease, and still others that it will remain unchanged. In addition, expert opinions include the reasons for these predictions. The number of such opinions in the Internet is usually very large (hundreds, thousands of the opinions). An investor who makes a decision, for example, on the financial markets, needs to analyze and summarize these opinions to formulate the correct decision. However, the manual realization of these processes is extremely difficult, and often impossible, due to time constraints [14]. Thus, often the processes of the analysis and summarization of the text documents are made automatically by computer systems, including the integrated management information systems. They may be constructed, for example, on the basis of the number of the cognitive agents [16]. Generally speaking, the cognitive agent is a smart program that not only concludes on the basis of the data received, takes specific actions to achieve the desired objective (this can be, for example, decision support), but also learns at the same time gaining experience. An example of a cognitive agent's architecture is The Learning Intelligent Distribution Agent (LIDA) [35]. This is a hybrid architecture that allows for symbolic and emergent knowledge processing and uses the semantic net with node and links activation level (the "slipnet") [19] to represent a knowledge.Broadly understood, the analysis of the text documents is mainly based on document retrieval, information extraction, text mining and natural language processing. Summarization, instead, can include the contents of a document or set of documents. The basic idea of summarization is to get a summary that contains the most important information from the source doc...

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“…2 This capability can be achieved through the use of the intelligent cognitive agent architecture in the construction of the IMIS. 3 Because this type of system is more often made up of many software agents, which autonomously process knowledge, its functioning is similar to the group (collective) decision-making processes by humans. 4 One example of collective knowledge is experts' opinion about a predicted currency trading.…”

Section: Introductionmentioning

confidence: 99%

Definition of a Framework for Acquiring and Acquisition Subprocesses in a Collective Knowledge Processing in the Integrated Management Information System

Hernes

Nguyên

2019

Vietnam J. Comp. Sci.

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Efficient operation of the integrated management information systems (IMISs), especially multi-agent systems, is related to their ability to automatically process collective knowledge. On the basis of this knowledge the decision-making process is realized in the business organizations. This paper presents issues related to framework for acquiring and acquisition subprocesses in a collective knowledge of business organization processing in IMIS. The main novelty of the developed framework is the coverage of all the areas of operation of an organization. Additionally, the inter-area knowledge for automatic strategic-level decision-making has been taken into consideration. The main improvements of this framework are that it allows for processing of the whole collective knowledge of business organization and it can be directly implemented in IMIS.

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A Cognitive Integrated Management Support System for Enterprises

Cited by 18 publications

References 4 publications

Computational collective intelligence for enterprise information systems

Computational collective intelligence for enterprise information systems

The automatic summarization of text documents in the Cognitive Integrated Management Information System

Definition of a Framework for Acquiring and Acquisition Subprocesses in a Collective Knowledge Processing in the Integrated Management Information System

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