In this paper, the concept of an augmented session is used to derive different augmented session similarity measures. It is believed that augmented session similarity measures are more realistic and represent session similarities based on the web user’s habits, interest, and expectations as compared to simple binary cosine measure. We apply a relational fuzzy c-mean clustering approach to evalu...

Finding semantic similarity between short biomedical texts, such as article abstracts or experiment descriptions, may provide important information for health researchers. This paper presents a method for calculating text similarity in the biomedical context. The method implements a pairwise concept semantic similarity measure that uses concept definitions and ontology structure. The respective...

Similarity is the key notion underlying many contemporary theories about the representation of meaning through words or concepts. However, these representations are strongly colored by the kind of information captured by various semantic measures. In this paper we present a systematic comparison of human similarity judgments and calculated similarity coefficients from different sources of seman...

Mutual information (MI) is one of the most popular and widely used similarity measures in image registration. In traditional registration processes, MI computed each optimization step to measure between reference moving image. The presumption that whenever reaches its highest value, this corresponds best match. This paper shows not always valid leads error. To overcome problem, we propose use p...

This paper discusses recent research on methods for estimating configuration parameters for the Matrix Comparator used for linking unstandardized or heterogeneously standardized references. The matrix comparator computes the aggregate similarity between the tokens (words) in a pair of references. The two most critical parameters for the matrix comparator for obtaining the best linking results a...