Discovering and ranking complex relationships in the semantic web is an important building block of semantic search applications. Although semantic web technologies define relations between objects but there are some complex (hidden) relationships that are valuable in different applications. Currently, users need to discover the relations between objects and find the level of semantic similarit...

Cosine similarity is a widely implemented metric in information retrieval and related studies. This metric models a text as a vector of terms and the similarity between two texts is derived from cosine value between two texts' term vectors. Cosine similarity however still can't handle the semantic meaning of the text perfectly. This paper proposes an enhancement of cosine similarity measurement...

In this work the problem of evaluating semantic similarity in a taxonomy by relying on notion information content is investigated. particular, measure that takes into account not only generic sense concept but also its intended given context considered. Such needs relatedness approach order to evaluate between and concept. we show Linked Data Semantic Distance with Global Normalization leads hi...

According to a recent study, semantic similarity between concrete entities correlates with the similarity of activity patterns in left middle IPS during category naming. We examined the replicability of this effect under passive viewing conditions, the potential role of visuoperceptual similarity, where the effect is situated compared to regions that have been previously implicated in visuospat...

Similarity is a tool widely used in various domains such as DNA sequence analysis, knowledge representation, natural language processing, data mining, information retrieval, information flow etc. Computing semantic similarity between two entities is a non-trivial task. There are many ways to define semantic similarity. Some measures have been proposed combining both statistical information and ...

Linguistic similarity has been a prominent notion and tool in computational linguistics and related areas, as elaborated nicely in the announcement of this workshop. Yet, what exactly counts as “similarity”, or when two linguistic concepts should be regarded as similar, often remains rather vague and ill posed, which is in fact quite typical for unsupervised notions. This talk will focus on sim...

Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval, data mining, and information integration. To date, a wide variety of approaches to geo-semantic similarity have been devised. A judgement of similarity is not intrinsically right or wrong, but obtains a certain degree of cognitive plausibility, depending on ho...

This paper describes our submission for the *SEM shared task of Semantic Textual Similarity. We estimate the semantic similarity between two sentences using regression models with features: 1) n-gram hit rates (lexical matches) between sentences, 2) lexical semantic similarity between non-matching words, 3) string similarity metrics, 4) affective content similarity and 5) sentence length. Domai...