To Know we Need to Share - Information in the Context of Interactive Acquisition of Knowledge

摘要

Natural language interface requires much more complex processing than is currently assumed. We present a general review of foundational notions of data, information and knowledge, aiming at tentatively sketching out a set of subcomponents of an integra-tive linguistic theory of man machine interaction, bearing in mind that our model will favor further research on simulation of man man interaction. Our main concern is to show that in order to acquire knowledge humans need to extract it from multiple kinds of information as distributed in the content of natural language utterances.