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Semantic Relatedness in Folksonomy

2009 International Conference on New Trends in Information and Service Science, 2009
Social networking sites like Flickr , Youtube and Del.icio.us have been rapidly gaining popularity on the Internet, underscoring a transformation of the Web to a participatory medium in which users are actively creating, evaluating and distributing information.
Chao Wu, Bo Zhou
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Hemispheric differences in semantic-relatedness judgments

Cognition, 2003
Subjects judged the semantic relatedness of word pairs presented to the left or right visual field. The word pairs were presented one below the other. On critical trials, the words' referents had a typical spatial relation, with one referent oriented above the other (e.g. ATTIC/BASEMENT).
Rolf A, Zwaan, Richard H, Yaxley
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Semantic relatedness hits bibliographic data

Proceedings of the eleventh international workshop on Web information and data management, 2009
In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this task. In particular, we introduce the Omiotis measure, which captures the semantic relatedness between text segments and enables the thematic organization of the bibliographic ...
George Tsatsaronis   +4 more
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Evaluating Semantic Relatedness Between Concepts

Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016
In this paper, we systematically investigate the methods of measuring semantic relatedness between concepts and categorize them into 6 types of methods: path based, information content, gloss based, vector based, corpus based and string based. Besides, we re-implement those types of methods for evaluating on the latest knowledge sources and made API ...
Phuc H. Duong   +2 more
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Valuing Semantic Relatedness

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, 2014
Semantic Relatedness is widely used in various domains such as DNA sequence analysis, knowledge representation, natural language processing, data mining, information retrieval, information flow etc… Computing semantic similarity between two entities is a non-trivial task. There are many ways to define semantic similarity.
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Semantic relatedness in semantic networks

2008
This paper presents a new semantic relatedness measure on semantic networks (SN) that uses both hierarchical and non-hierarchical relations. Our approach relies on two assumptions. Firstly, in a given SN, only a few numbers of paths can be considered as “semantically correct” and these paths obey to a given set of rules.
Mazuel, Laurent, Sabouret, Nicolas
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Supervised Distributional Semantic Relatedness

2012
Distributional measures of semantic relatedness determine word similarity based on how frequently a pair of words appear in the same contexts. A typical method is to construct a word-context matrix, then re-weight it using some measure of association, and finally take the vector distance as a measure of similarity. This has largely been an unsupervised
Alistair Kennedy, Stan Szpakowicz
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Exploiting Wikipedia for Evaluating Semantic Relatedness Mechanisms

2014
The semantic relatedness between two concepts is a measure that quantifies the extent to which two concepts are semantically related. In the area of digital libraries, several mechanisms based on semantic relatedness methods have been proposed. Visualization interfaces, information extraction mechanisms, and classification approaches are just some ...
F. Ferrara, TASSO, Carlo
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Semantic relatedness based on searching engines

2010 3rd International Conference on Computer Science and Information Technology, 2010
Semantic relatedness plays an important role in Natural Language Processing area since it has the ability to imitate human judgments. Recently the most popular methods are depend on the hierarchy of WordNet, which result in restricted calculation objects and language, moreover, the accuracy is not satisfied.
null Ning Yang   +3 more
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Extracting semantic relatedness for Bangla words

2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), 2016
A framework for extracting semantic relational words in Bangla is presented in this paper. Here extraction of Synonyms, Antonyms, Hyponym, Hypernym, Meronym, Holonym and Polysemy are primarily investigated as a rule based model. For every word two other things: concept and parts of speech category are also presented for clarification.
Abdullah Al Hadi   +2 more
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