扩展法律图谱模型，更精准表达法规中的时空、例外与层级关系。
OLG++: A Semantic Extension of Obligation Logic Graph
- 引入空间、时间、可撤销性等新节点和边类型，增强法律规则表达力。
- 在餐饮业监管案例中验证，相比原模型表达能力显著提升。
- 适合法律信息化、智能合规系统开发者使用。
我们提出OLG++，一种对义务逻辑图（Obligation Logic Graph, OLG）的语义扩展，用于建模市政及跨辖区场景下的监管与法律规则。OLG++引入更丰富的节点与边类型，包括空间、时间、当事人组、可撤销性及逻辑分组结构，支持对法律义务、例外和层级关系的精细刻画。该模型能结构化表示具有上下文条件、优先级与复杂触发机制的规则。通过食品经营监管实例展示，OLG++可通过属性图查询实现法律问答。同时，其可与LegalRuleML互补，提供原生图结构的子类关系、空间约束及可重化的例外结构。工作示例与初步覆盖分析表明，在所研究维度上，OLG++比基线模型更具表达能力。
原文摘要 · Abstract (English)
We present OLG++, a semantic extension of the Obligation Logic Graph (OLG) for modeling regulatory and legal rules in municipal and interjurisdictional contexts. OLG++ introduces richer node and edge types, including spatial, temporal, party group, defeasibility, and logical grouping constructs, enabling nuanced representations of legal obligations, exceptions, and hierarchies. The model supports structured representation of rules with contextual conditions, precedence, and complex triggers. We demonstrate its use through examples from food-business regulations, showing how OLG++ supports legal question answering using property-graph queries. We also discuss how OLG++ can complement LegalRuleML by providing graph-native constructs for subclass relations, spatial constraints, and reified exception structures. The worked examples and first-pass coverage analysis show that, on the dimensions studied, OLG++ is more expressive than the baseline OLG model for municipal regulatory representation.
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