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Neuro-Symbolic Hybrid Systems for Industry 4.0: A Systematic Mapping Study

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Knowledge Management in Organizations (KMO 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1027))

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Abstract

Neuro-symbolic hybrid systems (NSHS) have been used in several research areas to obtain powerful intelligent systems. A systematic mapping study was conducted, searching studies published from January 2011 to May 2018 in three author databases defining four research questions and three search strings. With the results a literature review was made to generate a map with main trends and contributions about the use of NSHS in Industry 4.0. An evaluation rubric based on the work of Petersen et al. (2015) was applied too. In a first exploratory search 544 papers was found, but only 330 had relation with research theme. After this first classification a second filter was applied to identify repeated articles or which had not relevance for solve the research questions, obtaining 118. Finally, 50 primary studies was selected. This paper is a guide aimed at researching and obtaining evidence on the shortage of publications and contributions about the use of neuro symbolic hybrid systems applied in Industry 4.0 environment.

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Acknowledgments

This work has been supported by project IOTEC: “Development of Technological Capacities around the Industrial Application of Internet of Things (IoT)”. 0123-IOTEC-3-E. Project financed with FEDER funds, Interreg Spain-Portugal (PocTep). Inés Sittón-Candanedo has been supported by IFARHU – SENACYT scholarship program (Government of Panama).

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Authors and Affiliations

  1. IoT Digital Innovation Hub, University of Salamanca, Calle Espejo s/n, 37007, Salamanca, Spain

    Inés Sittón, Ricardo S. Alonso, Elena Hernández-Nieves, Sara Rodríguez-Gonzalez & Alberto Rivas

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  1. Inés Sittón
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  2. Ricardo S. Alonso
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  3. Elena Hernández-Nieves
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  4. Sara Rodríguez-Gonzalez
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Correspondence to Inés Sittón .

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Editors and Affiliations

  1. University of Staffordshire, Stoke-on-Trent, UK

    Lorna Uden

  2. National University of Kaohsiung, Kaohsiung, Taiwan

    I-Hsien Ting

  3. University of Salamanca, Salamanca, Spain

    Juan Manuel Corchado

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Sittón, I., Alonso, R.S., Hernández-Nieves, E., Rodríguez-Gonzalez, S., Rivas, A. (2019). Neuro-Symbolic Hybrid Systems for Industry 4.0: A Systematic Mapping Study. In: Uden, L., Ting, IH., Corchado, J. (eds) Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science, vol 1027. Springer, Cham. https://doi.org/10.1007/978-3-030-21451-7_39

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