A current trend in video analysis research hypothesizes that a very large number of semantic concepts could provide a novel way to characterize, retrieve and understand video. These semantic concepts do not appear in isolatation to each other and thus it could be very useful to exploit the relationships between multiple semantic concepts to enhance the concept detection performance in video. In...

This study discussed; Semantic fields in the lights of Al-salmi’s “Anwar Al Uqol”. The problem lies development semantics, breadth its interests, multiplicity mechanisms and diversity discussions, until it has become an approach that deals with texts through analysis, to probe depths decipher closures. Therefore, researchers differed semantics terms their view meaning, this difference resulted ...

This paper presents a precursory yet novel approach to the question answering task using structural decomposition. Our system first generates linguistic structures such as syntactic and semantic trees from text, decomposes them into multiple fields, then indexes the terms in each field. For each question, it decomposes the question into multiple fields, measures the relevance score of each fiel...

Objectives: Wernicke’s aphasia is one of the most prominent focal brain deficits affecting the comprehension abilities of patients while preserving their production abilities. Although a lot of studies in different languages have been conducted to analyze the nature of this deficit, still some controversies exist in this regard. While some research studies attribute this defect to a performance...

We explore the use of conditional random fields (CRFs) to automatically extract important metadata from clinical research articles. These metadata fields include formulaic metadata about the authors, extracted from the title page, as well as free text fields concerning the study’s critical parameters, such as longitudinal variables and medical intervention methods, extracted from the body text ...

Sensor Network has been widely used in all fields, and a large number of heterogeneous data is produced. In order to make these data shared and integrated semantically, semantic web technology is introduced in the sensor network. In this paper, we make a comprehensive survey about Semantic Sensor Web (SSW) from the perspective of ontology, mapping and query respectively. Firstly, we present sta...

Domain theory has been used with great success in providing a semantic framework for Turing computability, over both discrete and continuous spaces. On the other hand, classical approximation theory provides a rich set of tools for computations over real functions with (mainly) polynomial and rational function approximations. We present a semantic model for computations over real functions base...

Latent Semantic Analysis (LSA) has been in use in several different fields of science. Several modeling techniques including Boolean, settheoretic, vector space, and probabilistic models studied. In this paper, we first describe the concept of “LSA” and then present the preliminary results of an exploratory study. We carried out a small-scale bibliometric analysis to find out the impact of LSA ...