1·Employ backward chaining to develop the class.
使用逆向链接来开发类。
2·Inference rules implement forward inferencing, backward chaining, Prolog-style unification or other artificial intelligence (ai) -style rules.
推理规则实现演绎法、归纳法、prolog样式的统一或其他人工智能(artificial intelligence, AI)样式的规则。
3·Therefore, we design an RDF storage and query framework with flexible inference strategy, which can combine forward and backward chaining inference strategies.
所以，本文设计了一个RDF存储与查询框架，它采用灵活的推理策略，即结合了前向推理和后向推理。
4·The system is a rule-based production system. Inference engine is the core part of expert system. We use forward chaining and backward chaining at the same time.
描述一种诊断型专家系统，它统属于基于规则的产生式系统，推理机是核心部分，分别采用了正向、反向推理技术。
5·This backward-chaining-based development methodology leads to the next principle.
这个基于逆向链接的开发方法导出了下一个原则。
6·The Heuristic Forward-Chaining Algorithm (HFCA) for the searching of delegation chain is proposed, which effectively ease the blindness in pure backward-chaining algorithms.
提出了以正向链接为主导的启发式搜索算法（HFCA），有效减低了传统纯反向链搜索的无序性。