Humans, semantic services and similarity: A user study of semantic Web services matching and composition

Protein–protein interaction identification using a hybrid model

“…Medin, Goldstone, and Gentner [34] describe relations as follows: relations are predicates taking two or more arguments (e.g., X collides Y, X is larger than Y), which are used to express abstract connection between objects. Most work on RS analysis tries to identify relations implied by word pairs, through comparing the similarity of the target relation with some known relations [35][36][37][38]. Usually, distributional properties of relations are first extracted from large-scale text.…”

A parametric similarity method: Comparative experiments based on semantically annotated large datasets

“…Evaluating a similarity reasoning method is not a simple task, it presents two orders of difficulties: one relies on the choice of the set of resources (dataset) to be analyzed, and the other is the actual benchmark, i.e., the reference against which it is possible to measure the performance of the selected method. With regard to benchmarking techniques, the most used one is based on human judgement [41] [62]. In essence, considering a set of resources with their annotation vectors, a group of people is asked to pairwise match and assign them a similarity score.…”