By mapping messages into a large context, we can compute the distances between them, and then classify them. We test this conjecture on Twitter messages: Messages are mapped onto t...
Yegin Genc, Yasuaki Sakamoto, Jeffrey V. Nickerson
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in semantic web-related applications such as community mi...
Abstract. In this paper, we present an adaptive, hybrid semantic matchmaker for SAWSDL services, called SAWSDL-MX2. It determines three kinds of semantic service similarity with a ...
This paper proposes a simple and costeffective method named Transmission Error Approximation (TEA) for estimating the distance between two Zigbee devices. The idea is to measure a...
In this paper, we propose a novel ID-based secure distance bounding protocol. Unlike traditional secure distance measurement protocols, our protocol is based on standard insecure d...