期刊名称：Journal of Theoretical and Applied Computer Science
印刷版ISSN：2299-2634
电子版ISSN：2300-5653
出版年度：2014
卷号：8
期号：1
页码：15-34
出版社：Polska Akademia Nauk * Oddzial w Gdansku, Komisja Informatyki,Polish Academy of Sciences, Gdansk Branch, Computer Science Commission
摘要：We focus on one of the most powerful computing methods for natural-language-driven representation of data, i.e. on Yager's concept of a linguistic summary of a relational database (1982). In particular, we introduce an
original extension of that concept: new forms of linguistic
summaries. The new forms are named Multi-Subject linguistic summaries,
because they are constructed to handle more than one set of subjects,
represented by related sets of records/objects collected in a database, like
''cars, bicycles and motorbikes'' (within vehicles), ''male and female'' (within
people), e.g. More boys than girls play football well. Thanks to that, the generated
linguistic summaries -- quasi-natural language sentences -- are more interesting
and human-oriented. Moreover, they can be applied together with the classic
forms od summaries, to enrich naturality of comments/descriptions generated. Apart from traditional interpretions linguistic summaries in terms of fuzzy
logic, we also introduce some higher-order fuzzy logic methods, to extend
possibilities of representing too complex or too ill-defined linguistic terms
used in generated messages.
The new methods are applied to a computer system that generates natural language description of numeric
data, that makes them possible to be clearly presented to an end-user.
关键词：Multi-Subjectivity in relational databases; linguistic summaries of databases; Multi-Subject linguistic summaries; fuzzy sets
