   , Vol. 14, No. 1, pp. 5563, 2009. © Association for Scientific Research            Mehmet Ali Salahli Department of Computer Engineering Canakkale On Sekiz Mart University, 17100 Canakkale, Turkey msalahli@comu.edu.tr In this paper we propose a new approach for measuring semantic relatedness between words. The semantic relatedness between words are not measured directly, but are computed via set of words highly related to them, which we call the set of determiner words. Our approach for evaluating relatedness belongs to web page counting based measurement methods. We take into account some information, which contains hierarchical and other type of relations between the words. The experimental results demonstrate the effectiveness of proposed method. !"semantic relatedness, semantic similarity, information based measurement, information content #$  Measures of relatedness or similarity are used in a variety of applications, such as information retrieval, automatic indexing, word sense disambiguation, automatic text correction. Semantic similarity and semantic relatedness are sometimes used interchangeable in the literature. These terms however, are not identical. Semantic relatedness indicates degree to which words are associated via any type (such as synonymy, meronymy, hyponymy, hypernymy, functional, associative and other types) of semantic relationships. Semantic similarity is a special case of relatedness and takes into consideration only hyponymy/hypernymy relations. The relatedness measures may use a combination of the relationships existing between words depending on the context or their importance. To illustrate difference between similarity and relatedness, Reznik [1] provides the widely used example of  and . These terms are not very similar; they have only few features in common. But they are more closely related in a functional context; namely that  use . A number of researchers use distance measure as opposite of similarity. In this work we propose a new approach for measuring semantic relatedness between words. Main idea of the approach is that the semantic relatedness between words is not measured directly, but is determined via a set of words high related to them, which we call the set of determiner words. Our approach for evaluating relatedness belongs to web pages counting based measurements methods. But we take into account some information, expressing hierarchical and other type relations between the words. Comparison the experimental results with a benchmark set of human similarity ratings show the effectiveness of the proposed approach. The paper is organized as follows. Section 2 presents related work. In section 3 motivations on proposed method is given. The method for evaluating semantic