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    2018.8.3 noiz Equipo GNOSS

    SEO Semántico: de etiquetas y palabras clave a ontologías

    En este artículo, la persona que más y mejor ha estudiado las patentes desarrolladas por Google y sus efectos en el posicionamiento web, divulga como en el algoritmo de búsqueda de Google ya no es tan importante las etiquetas que ponemos a un artículo o post cuanto la estructuración "ontológica" de su contenido.

    Lo que Google está valorando son aquellas fuentes que le proporcionan un conocimiento claro y distinto, es decir, que le dan la información sobre qué entidades existen en su contenidos, cuales son sus atributos y con qué están relacionados. Cuando al publicar un contenido digital, estás publicando datos en RDF/OWL, haciendo transparente a Google cuales son los "hechos" y las "entidades" de este contenido, Google lo aprecia y lo premia con un mejor posicionamiento.




    Semantic SEO for the Automotive Industry

    Cars are typically characterized by many technical features. Also, the location of offer and demand matters, both for used and new cars. This in combination with the vast amount of possibilities to configure a certain car model makes it very difficult to articulate the exact strengths and features of a certain make and model to potential customers, and makes the matchmaking process very complex.
    This talk shows examples of how leading brands in the automotive segment can combine GoodRelations, the Vehicle Sales Ontology, schema.org, and brand-specific extensions to articulate their value proposition to both traditional Web search engines and to novel applications.

    This is a video recording of my talk at the London Semantic Tech & Business Conference 2011. For more information, see semtechbizuk2011.semanticweb.com/sessionPop.cfm?confid=63&proposalid=4385


    5 Questions About Semantic SEO

    Earlier this month, I attended the SemTechBiz2013 conference in San Francisco. This is a gathering of creators and designers of the semantic tech stack, folks who work on semantic web standards, and representatives from the search engines, all coming together to discuss the state of the industry. There was a focus on semantic search and structured data markup at the show, reflecting the expansion of schema.org and Google Knowledge Graph as well as Bing Snapshots and the growing influence of the Open Graph Protocol.

    Aaron Bradley wrote up a fantastic list of key takeaways from the conference, and if you're attempting to get your head around semantic search, it's a great starting point. Blatant plug alert: I'll be talking about how to strategically adjust for these shifts in my talk at MozCon in early July.

    Marketers have a laundry list of activities to choose from to increase visibility, build brand, and drive engagement. It can be tough to quantify when to work on the hot new thing, especially when the words "Google" and "SEO" are prominently involved. When there are fundamental shifts in the SEO landscape (and I believe we're near the beginning of one of these shifts), search industry practitioners are often asked how to organize a strategy around the new tactical options. Here are five questions that I hope clarify the current state of semantic SEO and structured data markup:

    1. Is "Semantic SEO" a new term?

    2. What do "entity-based search results" look like now?

    3. So is the keyword dead?

    4. Is structured data markup a ranking factor?

    5. Will implementing schema.org markup actually hurt our search engine visibility in the future?

    Bonus question: What's the best move for web publishers?


    Unlocking the Benefits of Semantic Search: Barbara Starr’s 5 Ways - Semanticweb.com

    She continues, “Understanding how semantic search works at a conceptual level — as well as understanding where it is going — is the key to your ability to leverage it. Below are five ways to unlock the benefits of semantic search.” One of those ways is to ensure your pages are marked up with the appropriate semantic  markup: “Ensure your webpages employ structured data markup, paying special attention to markup vocabulary from schema.org, as that is recognized by most major search engines at this point in time. There are several great new tools currently available to assist with the process of adding this HTML markup to your pages, including various WordPress plugins and code snippet generators (including Google’s own Structured Data Markup Helper). There is also a new release of RDFace, announced at ISWC 2013 this month, with a special edition for schema.org. Feel free to give it a whirl!”


    The Future of SEO: Panelists At SemTechBiz Weigh In - Semanticweb.com

    Where is SEO going? A panel hosted by Aaron Bradley, Internet marketing manager at InfoMine,Inc. at this week’s Semantic Technology & Business Conference in NYC took on the issue at full force. The session, featuring Bing senior product manager Duane Forrester,  semantic web strategist and independent consultant Barbara H. Starr, Swellpath SEO Team Manager Mike Arnesen, and author and analyst David Amerland (see our Q&A with himhere), provided some insight into why it’s an exciting time to be working in both semantic technology and search – and why that’s also a scary proposition for some in the SEO set who’ve lived by keywords and links.


    SEO, PPC and Semantics in 2014: What to Expect - Semanticweb.com


    Katie McQuater of The Drum recently wrote, “As part of The Drum’s most recent Search supplement, a cross-section of experts from the search marketing industry give their predictions for the space in the year ahead.” McQuater starts with Caragh McKenna, Group Account Director of The Search Agency. McKenna states, “With the introduction of Hummingbird in September online marketers have been abuzz with conjecture on how it will affect site rankings and what it will mean as semantic search evolves to saturate organic search results. In reality semantic search has been merging into users search results over the past two years. Google has been tweaking it’s algorithm to increasingly use semantic and conversational cues to associate related results moving to more user friendly search results with less focus on the ‘primary keyword’.”


    8 Amazing Facts and Statistics about Semantic SEO (Infographic)

    Previously, search engines crawl and index a particular web page and look at it as a mere string of text elements. It really does not look deeply into the meaning of the words formed by these elements. When someone makes a search, it also creates a pattern of text elements, and what the search engine does is return web pages that best match this same pattern according to rules set by the engine’s algorithms. All these will change in the new era of semantic web. Instead of patterns, algorithms will be reprogrammed to provide search results based on the meaning of the words used for the query. It will try to understand exactly what the user is trying to look, providing a better and more accurate search result.

    Digital Marketing Philippines provides you with these amazing facts and statistics to give you a better understanding of Semantic SEO and how it can help you with your digital marketing efforts in the near future.

    Read more at http://www.business2community.com/infographics/8-amazing-facts-statistics-semantic-seo-infographic-0823568#Wt2JOJTEMDowW4ch.99


    8 Things You Never Knew About Semantic SEO - Semanticweb.com

    Jomer Gregorio of Business2Communityrecently shared an infographic with eight great facts and statistics about semantic SEO. He writes, “The search engine as we know it is radically changing. From a technical point of view, it is evolving from merely a ‘search’ engine into what can rather be called an ‘answer’ engine. This change is already happening right before our eyes and is slowly but surely being integrated into algorithms – practically changing how search will be done in the future. As a business owner or digital marketer, one must have a clear understanding of what constitutes semantic search and how it will affect the way SEO will operate in the near future. First and foremost would be an understanding of the definitions beginning with the basic workings of a traditional search engine.”


    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.”