Generalization of Ontology Instances Based on WordNet and Google
نویسندگان
چکیده
منابع مشابه
Google & WordNet based Word Sense Disambiguation
This paper presents an unsupervised methodology for automatic disambiguation of noun terms found in domain specific unrestricted corpora. This method extends approaches of Fragos (Fragos et al., 2003) and others that use the WordNet (Miller, 1998) database in order to resolve semantic ambiguity. The method is evaluated by disambiguating the noun collection of SemCor 2.0. Parameter adjustment wa...
متن کاملWordNet Nouns: Classes and Instances
If you were to say “Women are numerous,” you would not wish to imply that any particular woman is numerous. Instead, you would probably mean something like “The class of women contains numerous instances.” To say, on the other hand, “Rosa Parks is numerous,” would be nonsense. Whereas the noun woman denotes a class, the proper noun Rosa Parks is an instance of that class. As Quirk et al. (1985,...
متن کاملMapping WordNet Instances to Wikipedia
Lexical resource differ from encyclopaedic resources and represent two distinct types of resource covering general language and named entities respectively. However, many lexical resources, including Princeton WordNet, contain many proper nouns, referring to named entities in the world yet it is not possible or desirable for a lexical resource to cover all named entities that may reasonably occ...
متن کاملConcept Name Similarity Calculation Based on WordNet and Ontology
Concept name similarity calculation between ontologies is the basis of ontology mapping. Many concept name words are polysemous, but in traditional word similarity algorithms, the similarity between the most similar senses of two words was regarded as the word similarity. It were ignored that the true meanings of concept names in the context, which resulted in falling of the precision of simila...
متن کاملDistinguishing Concepts and Instances in WordNet
Many lexical databases make a distinction between concepts (synsets that represent a class of things of interest) and instances (examples of concepts). However, that information is not present in WordNet. We use empirical evidence that concepts and instances are treated in different ways in language, to show that the distinction is not merely theoretical, but that it also affects how a word is ...
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ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2009
ISSN: 1976-9172
DOI: 10.5391/jkiis.2009.19.3.363