{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T18:20:21Z","timestamp":1782325221381,"version":"3.54.5"},"reference-count":41,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T00:00:00Z","timestamp":1753574400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Hainan Province Health Science and Technology Innovation Joint Program","award":["WSJK2024QN025"],"award-info":[{"award-number":["WSJK2024QN025"]}]},{"name":"Hainan Province Health Science and Technology Innovation Joint Program","award":["ZDYF2022GXJS007"],"award-info":[{"award-number":["ZDYF2022GXJS007"]}]},{"name":"Hainan Province Health Science and Technology Innovation Joint Program","award":["ZDYF2022GXJS010"],"award-info":[{"award-number":["ZDYF2022GXJS010"]}]},{"name":"Hainan Province Health Science and Technology Innovation Joint Program","award":["SCSF202210"],"award-info":[{"award-number":["SCSF202210"]}]},{"name":"Hainan Province Key R&amp;D Program","award":["WSJK2024QN025"],"award-info":[{"award-number":["WSJK2024QN025"]}]},{"name":"Hainan Province Key R&amp;D Program","award":["ZDYF2022GXJS007"],"award-info":[{"award-number":["ZDYF2022GXJS007"]}]},{"name":"Hainan Province Key R&amp;D Program","award":["ZDYF2022GXJS010"],"award-info":[{"award-number":["ZDYF2022GXJS010"]}]},{"name":"Hainan Province Key R&amp;D Program","award":["SCSF202210"],"award-info":[{"award-number":["SCSF202210"]}]},{"name":"Hainan Province Key Laboratory of Meteorological Disaster Prevention and Mitigation in the South China Sea","award":["WSJK2024QN025"],"award-info":[{"award-number":["WSJK2024QN025"]}]},{"name":"Hainan Province Key Laboratory of Meteorological Disaster Prevention and Mitigation in the South China Sea","award":["ZDYF2022GXJS007"],"award-info":[{"award-number":["ZDYF2022GXJS007"]}]},{"name":"Hainan Province Key Laboratory of Meteorological Disaster Prevention and Mitigation in the South China Sea","award":["ZDYF2022GXJS010"],"award-info":[{"award-number":["ZDYF2022GXJS010"]}]},{"name":"Hainan Province Key Laboratory of Meteorological Disaster Prevention and Mitigation in the South China Sea","award":["SCSF202210"],"award-info":[{"award-number":["SCSF202210"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Semantic modeling of legal reasoning is an important research direction in the field of artificial intelligence and law (AI and law), aiming to enhance judicial transparency, fairness, and the consistency of legal applications through structured semantic representations. This paper proposes a semantic judicial reasoning framework based on the \u201cData\u2013Information\u2013Knowledge\u2013Wisdom\u2013Purpose\u201d (DIKWP) model, which transforms the conceptual expressions of traditional legal judgment into DIKWP graphs enriched with semantics. The framework integrates the objective content of legal norms with stakeholders\u2019 subjective cognition through a DIKWP\u00d7DIKWP bidirectional mapping mechanism, achieving \u201csemantic justice\u201d. Specifically, we define a DIKWP-based legal knowledge representation method and design a mapping algorithm from traditional legal concepts to the DIKWP semantic structure. To validate the effectiveness of the framework, we use a real administrative law case as an example and construct DIKWP (normative content) and DIKWP (subjective cognition) graphs to model legal rules, evidence, and various perspectives. The results indicate that the intention-driven semantic transformation mechanism can harmonize legal reasoning with stakeholders\u2019 cognitive backgrounds, thereby enhancing the interpretability and fairness of judicial interpretation. Case analysis further demonstrates that reasoning within the DIKWP semantic space can reveal underlying assumptions, bridge cognitive gaps, and promote judicial fairness by aligning legal intentions. This study provides new theoretical and methodological support for the explainable reasoning of intelligent judicial systems.<\/jats:p>","DOI":"10.3390\/info16080640","type":"journal-article","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T09:53:02Z","timestamp":1753696382000},"page":"640","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["DIKWP Semantic Judicial Reasoning: A Framework for Semantic Justice in AI and Law"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3727-0835","authenticated-orcid":false,"given":"Yingtian","family":"Mei","sequence":"first","affiliation":[{"name":"School of Cyberspace Security, Hainan University, Haikou 570228, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8417-892X","authenticated-orcid":false,"given":"Yucong","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hainan University, Haikou 570228, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.aiopen.2024.09.002","article-title":"Large language models in law: A survey","volume":"5","author":"Lai","year":"2024","journal-title":"AI Open"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Kattnig, M., Angerschmid, A., Reichel, T., and Kern, R. 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