Knowledge graph theory and structural parsing
Lei Zhang · University of Twente Research Information · 2002
Die proefschrift is goedgekeurd door de promotoren prof.dr.C. Hoede en prof.dr.X. Li Chapter 1 one of the important subjects in AI, see [Rich, 1983, Graham, 1979].Fortunately, knowledge graphs, as a new method, expand the knowledge representation methods.It establishes a semantic explanation model for human perception and information processing, based on philosophy and psychology. Natural Language ProcessingGenerally, natural language (used by humans) is the most direct method and the symbol system most in use to express human ideas and pass on information.There is a gap between formal languages (used by a computer) and natural languages.Communication between computers and humans is only possible when much research is aimed at bridging this gap.The approach to bridge the gap is often named natural language processing (NLP), natural language understanding, or computational linguistics [Allen, 1987, Harris, 1985].Naturally, describing and modeling natural language is the base for the development of natural language understanding, and it determines the research process and the direction in the field of natural language understanding.Moreover, today, information on INTERNET is growing unimaginably.This requires an intelligent information system, to search for information automatically, but also to filter, refine, and translate information, on a high level of understanding.The processing of these high level understandings must be and can only be based on semantics.Knowledge graphs, as a kind of representation for NLP, points out a new way for natural language describing and modeling, and also makes a big step forward to the semantic understanding of "know it and know why". A Semantic Model of Natural Language ProcessingA concept is an important component of human thought, and is the thinking unit that refers to objective things and their peculiar properties.The formation of a concept is a procedure that has the direction "from special to general".Considering various objects that are "special" cases, one determines a "general" set of properties that form the Chapter 4 Word Graphs: The Third SetThis chapter deals with the third part of a series of word graphs in terms of knowledge graphs.A word is a basic unit in natural language processing.This is why we study word graphs.Word graphs were already built for prepositions and adwords (including adjectives, adverbs and Chinese quantity words) in two other papers [Hoede & Li, 1996], [Hoede & Liu, 1998].In this chapter, we propose the concept of logic word and classify logic words into groups in terms of semantics and the way they are used in describing processes.A start is made with the building of the lexicon of logic words in terms of knowledge graphs.