Homonyms and Synonyms in NOK Method

Knowledge representation is one of the areas covered by artificial intelligence. Method Nodes of Knowledge (NOK) is one of the methods which allows a graphical representation and organization of knowledge in the form of a DNOK diagram (Diagram of Nodes Of Knowledge) as a network of nodes. With this diagram the meaning of sentences is preserved. The problem occurs when words that have synonyms or homonyms, and whose meaning depends on the context, appear in the sentence which is being modeled. Every term used in modeling sentences is written in a dictionary, including homonyms and synonyms. This paper presents a metamodel mode of writing homonyms and synonyms into the dictionary from which words are used for modeling. This demonstrates that the NOK method can be applied to modeling dictionaries of natural languages.

[1]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[2]  Stephan Grimm,et al.  Knowledge Representation and Ontologies , 2010, Scientific Data Mining and Knowledge Discovery.

[3]  James F. Allen,et al.  Deep Semantic Analysis of Text , 2008, STEP.

[4]  Ángel García-Crespo,et al.  Semantic model for knowledge representation in e-business , 2011, Knowl. Based Syst..

[5]  John F. Sowa,et al.  Conceptual Graphs for a Data Base Interface , 1976, IBM J. Res. Dev..

[6]  R. Tibshirani,et al.  An introduction to the bootstrap , 1993 .

[7]  Marvin Minsky,et al.  Semantic Information Processing , 1968 .

[8]  Johan Bos,et al.  Proceedings of the 2008 Conference on Semantics in Text Processing , 2008 .

[9]  Stuart C. Shapiro,et al.  Knowledge Representation for Natural Language Processing , 1993 .

[10]  Sanja Vranes,et al.  Knowledge representation with SOUL , 2007, Expert Syst. Appl..

[11]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[12]  Virginia Teller Review of Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition by Daniel Jurafsky and James H. Martin. Prentice Hall 2000. , 2000 .

[13]  Alen Jakupovic,et al.  Comparison of the nodes of knowledge method with other graphical methods for knowledge representation , 2013, 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[14]  Ellen Riloff,et al.  Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing , 1996, Lecture Notes in Computer Science.

[15]  Hector J. Levesque,et al.  Knowledge Representation and Reasoning , 2004 .

[16]  James H. Martin,et al.  Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition , 2000 .

[17]  Marvin Minsky,et al.  A framework for representing knowledge , 1974 .

[18]  Jonathan A. Tepper,et al.  Extracting finite structure from infinite language , 2005, Knowl. Based Syst..

[19]  Noam Chomsky,et al.  Studies on Semantics in Generative Grammar , 1972 .

[20]  Mile Pavlic,et al.  Formalisation method for the text expressed knowledge , 2014, Expert Syst. Appl..

[21]  Madeleine Bates,et al.  Challenges in natural language processing: Conclusion , 1993 .

[22]  Michael Böttner,et al.  Natural Language , 1997, Relational Methods in Computer Science.

[23]  John McCarthy,et al.  Programs with common sense , 1960 .

[24]  Hermann Helbig,et al.  Knowledge Representation and the Semantics of Natural Language , 2005, Cognitive Technologies.

[25]  Stuart C. Shapiro Review of Knowledge representation: logical, philosophical, and computational foundations by John F. Sowa. Brooks/Cole 2000. , 2001 .

[26]  Ana Meštrović,et al.  NODES OF KNOWLEDGE METHOD FOR KNOWLEDGE REPRESENTATION , 2013 .

[27]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .

[28]  Mariano Fernández-López,et al.  Ontological Engineering , 2003, Encyclopedia of Database Systems.

[29]  Frank van Harmelen,et al.  Handbook of Knowledge Representation , 2008, Handbook of Knowledge Representation.

[30]  James F. Allen Natural language, knowledge representation, and logical form , 1993 .