To Know we Need to Share - Information in the Context of Interactive Acquisition of Knowledge
Author(s) -
Paweł Stacewicz,
André Włodarczyk
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.09.006
Subject(s) - computer science , natural language , set (abstract data type) , natural (archaeology) , human–computer interaction , context (archaeology) , interface (matter) , natural language understanding , natural language processing , artificial intelligence , programming language , paleontology , biology , archaeology , bubble , maximum bubble pressure method , parallel computing , history
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom