Next Web: web 3.0, web semántica y el futuro de internet > knowledge+graph

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    Published on 28.5.2015 by Equipo GNOSS

    The Time To Embrace Semantic Search & Dominate The Knowledge Graph Is Right Now!

    Google’s latest ‘shift’ is in this category. And it embraces two thrust areas – ‘semantic search‘ and ‘knowledge graph‘. Online businesses as well as SEO consultants must adapt to them – or suffer!

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    Published on 28.5.2015 by Ricardo Alonso Maturana

    2014 SEO Roadmap: Adopting Semantic Markup

    In Google’s relentless pursuit of organizing the world’s information, the most exciting shift we’ve seen over the last year is about its ability to understand the “meaning” behind content (via the Knowledge Graph) and queries (via its Hummingbird algorithm update).

    In the past, Google had to rely on the words on the page, matching them to the words that someone searched on. Now, the revolution that is upon us is matching the intent of the query to the suitability of a page that matches that intent.

    This has significant implications for SEOs; and, as I speak with some of the smartest SEOs in the world about this shift, one of the recurring themes seems to be a new appreciation for and focus on semantic SEO.

    Smart marketers saw structured data markup as being an important part of their SEO strategy in 2012 and 2013. The trend and push around it has grown substantially — two out of three enterprises surveyed say they plan to make implementing or expanding structured data markup one of their top priorities for 2014 (Clarity Global SEO Conference, September 2013).

    I find that when companies begin thinking about whether or not to spend the time and effort on implementing or expanding semantic markup, most of them hit a snag because they start with the following question.

    Mitul Gandhi

    Mitul Gandhi has had 10+ years of experience in marketing and SEO consulting with Fortune 500 brands, which is the basis for his innovative approach to SEO. As the Co-Founder and Chief Architect of seoClarity, he has patents pending in the field of SEO analysis, and has been quoted in leading industry news sources.

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    Published on 27.10.2014 by Ricardo Alonso Maturana

    Deconstructing Google’s Knowledge Graph - semanticweb.com

    Barbara Starr of Search Engine Land recently observed that, “Search is changing – and it’s changing faster than ever. Increasingly, we are seeing organic elements in search results being displaced by displays coming from the Knowledge Graph. Yet the shift from search over documents (e.g. web pages) to search over data (e.g. Knowledge Graph) is still in its infancy. Remember Google’s mission statement:Google’s mission is to organize the world’s information to make it universally accessible and useful. The Knowledge Graph was built to help with that mission. It contains information about entities and their relationships to one another – meaning that Google is increasingly able to recognize a search query as a distinct entity rather than just a string of keywords. As we shift further away from keyword-based search and more towards entity-based search, internal data quality is becoming more imperative.”

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    Leveraging Search Algorithms In A Semantic Search World

    Innovation velocity in the search world is causing knowledge graphs to become increasingly sophisticated and ubiquitous. In light of that, it is imperative that semantic Web groups and SEO groups maintain a frequent and open communication.The SEO of the future will need to have a strong understanding of how knowledge graphs work — as well as a solid grasp of semantic Web markup — in order to leverage this information for search marketing campaigns.

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    Published on 25.5.2012 by Equipo GNOSS

    Influencia de la semántica de los buscadores en la labor SEO

    Este artículo habla de cómo puede influir la evolución semántica de los Buscadores en la labor SEO.

    • Análisis e investigación de tendencias de consumo de información por parte de los usuarios
    • Comportamientos de búsqueda por parte de los usuarios
    • Trabajar el marcado semántico de los contenidos que se generen (Microdata)
    • Trabajara con HTML5, un lenguaje de etiquetado reconocido por los principales buscadores.

     Además trata los siguientes temas:

    • ¿Qué nos aporta Knowledge Graph de google?
    • Vinculación de elementos entre entidades
    • Procesamiento lenguaje natural
    • Evolución del algoritmo google.

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