Semantic Search Engine Optimization

Data is governed by the concepts of volume, velocity, variety, and veracity, and the moment we find a way to handle these four concepts in a completely satisfactory manner, we will have solved the search .

Semantic Optimization is a new term, but one that will be important in the future. Researchers of the caliber of Pierre Lévy are grappling with this problem; see his excellent book, The Semantic Sphere .

Their research advances the semantic used by search engines and attempts to develop a universal language for markup online content .

Semantic Search

Tools like Google needed to create a layer to verify the veracity of information , the only one they lacked. To address this, Google created Google Plus (a tool that unfortunately no longer exists): a social layer that validated the veracity of information.

For semantic search to work with trillions of pages , it needs to function without human intervention, due to scalability; this is why research like Lévy's is fundamental to the future of human knowledge.

History is semantic.

But at the beginning of the 21st century, the exploration of this memory by everyone and each individual is limited by problems of semantic opacity, incompatibility of classification linguistic fragmentation .

In the absence of computable models, we are unable to automate most of the cognitive operations of analysis , filtering, synthesis, and interconnection of information that would allow us to advantageously utilize the immense mass of data available to us.

We still don't know how to systematically transform this ocean of data into knowledge , and even less how to transform the digital into a reflective observatory of our collective intelligences.

The primary purpose of this work is to present to the scientific community and the informed public a new system for encoding meanings, thanks to which operations on meaning in the new digital memory could become transparent, interoperable, and computable.

IEML and Semantic Search Engine Optimization

This semantic coding system was named IEML ( Information Economy Meta Language ) .

Its use could help to overcome the obstacles that currently limit the ideal exploitation of the digital environment for the benefit of human development in its inextricably linked social and personal dimensions.

If a dynamic community of semanticists and linguists were to enrich and grow this language, if a group of engineers were to program and maintain a collection of programs exploring the computational possibilities of IEML, and if a critical mass of users and social media were to appropriate these programs, I believe we would be engaging in a new scientific, technical, and cultural path that, in the long term, would lead to a significant increase in human cognitive processes.

What are your thoughts on Semantic Optimization as a future perspective?

I've prepared a post with a case study on Semantic Optimization . In it, you'll be able to verify the results of what I've argued here.