数据库语义学纲要（英文，具中文摘要)

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Outline of Database Semantics （DBS）

Roland HAUSSER

（Universitt Erlangen-Nürnberg， Bavaria， Germany）

Abstract： Database Semantics （DBS） models the cycle of natural language communication as a transition from the hear to the think to the speak and back to the hear mode （turn taking）. In contradistinction to the substitution-driven sign-based approaches of truth-conditional semantics and phrase structure grammar， DBS is data-driven and agent-based. The purpose is a theory of semantics for an autonomous robot with language. Propositions are content in DBS， instead of denoting truth values （Sects. 1-3）. Content is built from the semantic kinds of referent， property， and relation， which are concatenated by the classical semantic relations of structure， i.e. functor-argument and coordination. To enable reference as an agent-internal cognitive process， language and nonlanguage contents use the same computational data structure and operation kinds， and differ mostly in the presence vs. absence of language-dependent surface values. DBS consists of （i） an interface， （ii） a memory， and （iii） an operation component①.The interface component mediates between the agent’s cognition and its external and internal environment， represented as raw data provided by sensors and activators （Sects. 4-7）. The data of the agent’s moment by moment monitoring are stored at the memory’s now front. As part of the on-board control unit， the now front is the location for performing the procedures of the operation component， resulting in content.

Keywords： data structure; data base schema; pattern matching; turn taking; type-token; grounding; sensory and processing media and modalities; reference

摘 要：数据库语义学（Database Semantics，DBS）将自然语言交流的周期构建为从听觉过渡到思维再过渡到说话，然后从说话返回到听觉的模式（这是一个循环模式）。（剩余4535字）