Abstract The technological world has grown by incorporating billions of small sensing devices, collecting and sharing large amounts diversified data over the new generation wireless mobile networks. We can use semantic similarity models to help organize optimize these devices. Even so, many proposed do not consider constrained dynamic environments where devices are present (IoT, edge computing,...

This paper describes the system that was submitted in the *SEM 2013 Semantic Textual Similarity shared task. The task aims to find the similarity score between a pair of sentences. We describe a Universal Networking Language (UNL) based semantic extraction system for measuring the semantic similarity. Our approach combines syntactic and word level similarity measures along with the UNL based se...

This paper presents an empirical comparison of similarity measures for pairs of concepts based on Information Content. It shows that using modest amounts of untagged text to derive Information Content results in higher correlation with human similarity judgments than using the largest available corpus of manually annotated sense–tagged text.