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Purpose Driven Biological Lawsuit Modeling and Analysis Based on DIKWP

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2022)

Abstract

Towards an innovative automatic resolution on disputations involving essentially inconsistent, incomplete, inaccurate, inexpressible resources in biological lawsuits, we propose to integrate the modeling and processing the semantics embodied in the inconsistent, incomplete, inaccurate and inexpressible Data, Information, Knowledge, Wisdom, Purpose (DIKWP) representing the stakeholders’ cognitive understandings, uniformly as DIKWP (stakeholder), and the multiple modal documentary content, uniformly as DIKWP (content). We firstly map the content in the sample lawsuit input, transaction, communication and juridical output as DIKWP (content) Graphs including DIKWP Content Graph from the objective material literally. Thereafter we proposed a purpose driven or oriented traversing of the pursues along with reasoning and documenting the subjective DIKWP of the stakeholders as DIKWP (stakeholder) Graphs including DIKWP Cognition Graph. Traversing among DIKWP (content) and DIKWP (stakeholder) based on our proposed Essence Computation and Reasoning, Existence Computation and Reasoning, Purpose Computation and Reasoning allows the integration of the subjective and objective semantics to bridge the gaps leaved by previously processing inconsistent, incomplete, inaccurate, inexpressible resources besides great potential on crossing modals DIKWP validations. Computationally DIKWP promises enhanced understand ability and reduced complexity with shorten cognitive distances and reasoning distances.

Supported by Hainan Province Key R &D Project (ZDYF2022GXJS007, ZDYF2022GXJS010), Hainan Province Key Laboratory of Meteorological Disaster Prevention and Mitigation in the South China Sea, Open Fund Project (SCSF202210) and Hainan Province Higher Education and Teaching Reform Research Project (Hnjg2021ZD-3).

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Authors and Affiliations

  1. School of Computer Science and Technology, Hainan University, Haikou, China

    Yingtian Mei & Yucong Duan

  2. Department of Computer Science, Inner Mongolia University, Hohhot, China

    Lei Yu

  3. User Digitization Department, Zeekr Group, Hangzhou, China

    Haoyang Che

Authors
  1. Yingtian Mei
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  2. Yucong Duan
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  3. Lei Yu
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  4. Haoyang Che
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Corresponding author

Correspondence to Yucong Duan .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. Xi’an Jiaotong-Liverpool University, Suzhou, China

    Xinheng Wang

  3. Zhejiang University City College, Hangzhou, China

    Wei Wei

  4. London South Bank University, London, UK

    Tasos Dagiuklas

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Mei, Y., Duan, Y., Yu, L., Che, H. (2022). Purpose Driven Biological Lawsuit Modeling and Analysis Based on DIKWP. In: Gao, H., Wang, X., Wei, W., Dagiuklas, T. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 461. Springer, Cham. https://doi.org/10.1007/978-3-031-24386-8_14

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  • DOI: https://doi.org/10.1007/978-3-031-24386-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24385-1

  • Online ISBN: 978-3-031-24386-8

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