From Form to Content

Novel Algorithm for Translation from Image Content to Semantic Form

In this paper we present a new algorithm for translating visual information into a semantic form. In our approach we try to combine these two separate areas of computer since into one process. The main goal is to achieve very good performance at searching for similar images. In this paper we explain in details the design of the translation algorithm which is only one part of the whole process, ...

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...

Formalization of Unstructured Content to Semantic Form

This paper will present an approach for knowledge extraction from unstructured content. Unstructured content refers to information syndicated online, with little structure. The information extracted from these content sources is semantically tagged and stored in the form of semantic graphs. The approach is upgraded with the transformation of semantic graphs to a relational database. The goal of...

Critique of Novel/ Precedence of Form to Content: Review of the Book Thirst: Mehdi Ebrahimi Lame

Nucleon Spin Content from Elastic Form Factor Data

I use the formalism of skewed parton distributions (SPD) to describe elastic form factors of the nucleon. The results are consistent with approximate dipole behavior of GMp(Q ) and recent JLab data for the ratio of the proton form factors GEp/GMp at Q 2 ≤ 3.5 GeV. Using the Angular Momentum Sum Rule, I obtain a numerical estimate for the valence quark contributions to the nucleon spin at the le...