Semantic similarity and relatedness measures between ontology concepts are useful in many research areas. While similarity only considers subsumption relations to assess how two objects are alike, relatedness takes into account a broader range of relations (e.g., part-of). In this paper, we present a framework, which maps the feature-based model of similarity into the information theoretic doma...

Some theories of visual word recognition postulate that there is a level of processing or representation at which morphemes are treated differently fromwhole words. Support for these theories has been derived from priming experiments in which the recognition of a target word is facilitated by the prior presentation of amorphologically related prime (departure-DEPART). In English, such facilitat...

Digital publishing resources contain a lot of useful and authoritative knowledge. It may be necessary to reorganize the resources by concepts and recommend the related concepts for e-learning. A recommender system is presented in this paper based on the semantic relatedness of concepts computed by texts from digital publishing resources. Firstly, concepts are extracted from encyclopedias. Infor...

BACKGROUND Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts. Approximating semantic relatedness between texts and concepts represented by these texts is an important part of many text and knowledge processing tasks of crucial importa...

In this paper, we discuss two graphs in Wikipedia (i) the article graph, and (ii) the category graph. We perform a graphtheoretic analysis of the category graph, and show that it is a scale-free, small world graph like other well-known lexical semantic networks. We substantiate our findings by transferring semantic relatedness algorithms defined on WordNet to the Wikipedia category graph. To as...

We present a novel approach to incorporating semantic information to the problems of natural language processing, in particular to the document classification task. The approach builds on the intuition that semantic relatedness of words can be viewed as a non-static property of the words that depends on the particular task at hand. The semantic relatedness information is incorporated using feat...

In this paper, we address the task of calculating monoand bilingual semantic similarity. We introduce a method that, in order to arrive at a measure of semantic relatedness, exploits the information implicitly contained in bilingual dictionaries. Through experiments we show that our method performs well, with a performance comparable to approaches based on hierarchical knowledge bases and corpu...