Similarity and comparability are complementary notions that are easy to confuse and difficult to tease apart. Semantic similarity makes comparison meaningful, while comparison is often the pragmatic means through which similarity is perceived and constructed. To date, WordNet has found wide application as a basis for modeling and measuring semantic similarity, but is lacking as a basis for well...

Thematic integration plays a role in similarity judgments of pairs of items that are unrelated taxonomically, like soup and spoon. We hypothesized that integration serves as a more central process in the similarity evaluation of abstract items because of their temporality, their large variability, and relational nature. Participants rated the similarity of concrete or abstract word pairs, follo...

The Mongue-Elkan method is a general text string comparison method based on an internal character-based similarity measure (e.g. edit distance) combined with a token level (i.e. word level) similarity measure. We propose a generalization of this method based on the notion of the generalized arithmetic mean instead of the simple average used in the expression to calculate the Monge-Elkan method....

Many disciplines study the variation in patterns (events) that occur across space and time. Comparison between these events is often facilitated by the ability to measure the similarity between events based on both spatial and temporal context. This paper describes the initial problems and complexities involved with using spatiotemporal similarity techniques, based upon patterns observed using ...

Data mining and knowledge discovery techniques are commonly used to extract condensed artifacts representing huge volumes of data. The comparison of such compact and rich in semantics representations (which we call patterns) can be useful to avoid the direct comparison of underlying raw data. In this paper, we present a general framework for the assessment of similarity between patterns, by ide...

This paper introduces an additive fuzzy clustering model for similarity data as oriented towards representation and visualization of activities of research organizations in a hierarchical taxonomy of the field. We propose a one-by-one cluster extracting strategy which leads to a version of spectral clustering approach for similarity data. The derived fuzzy clustering method, FADDIS, is experime...

We study the dynamics of a one-dimensional non-linear and nonlocal drift-diffusion equation set in the half-line, with the coupling involving the trace value on the boundary. The initial mass M of the density determines the behaviour of the equation: attraction to self similar profile, to a steady state of finite time blow up for supercritical mass. Using the logarithmic Sobolev and the HWI ine...

The h-index is an index that measures productivity and citation impact of the published work but it has been criticized because it does not consider context of citation and reason behind citation. This indicates that there is a need for an improved h-index by a new approach which includes important citations received by a paper instead of the whole list of citations. Citation classification is ...

There has been much interest in the structural comparison and alignment of metabolic pathways. Several techniques have been conceived to assess the similarity of metabolic pathways of different organisms. In this paper, we show that the combination of a new heuristic algorithm for the comparison of metabolic pathways together with any of three enzyme similarity measures (hierarchical, informati...