Purpose – Since, the middle of the 1990s, UNO has been funding a large‐scale project aimed at designing a family of natural language (NL) processing systems transforming the sentences in various NLs into the expressions of a new language‐intermediary called the Universal Networking Language (UNL) and vice versa. The purpose of the paper is to propose a constructive way of developing a semantic networking language (SNL ) of a new generation and, as a consequence, to bridge a gap between UNL‐based studies and Semantic Web projects. Design/methodology/approach – The methodological basis of the paper is a new theory of designing semantic‐syntactic analyzers of NL texts elaborated by the author of the paper and called the theory of K‐representations (knowledge representations). One of its basic components is a mathematical model describing a system of ten partial operations on conceptual structures and determining a new class of formal languages called restricted standard knowledge languages (RSK‐languages). Findings – It is shown that the expressive possibilities of RSK‐languages surpass the expressive possibilities of UNL from the standpoint of representing the meanings of discourses, compound goals, descriptions of sets, definitions of notions. It is proposed to use the definition of the class of RSK‐languages as a model of a SNL of a new generation in comparison with UNL. Practical implications – It is also proposed to use the definition of RSK‐languages for building semantic annotations of arbitrary web‐documents and web‐services. Originality/value – The paper describes an original approach to representing conceptual structure of NL texts.
International Journal of Intelligent Computing and Cybernetics – Emerald Publishing
Published: Mar 28, 2008
Keywords: Text retrieval; Mathematics; Semantics; Networking; Worldwide web; Programming languages
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera