Semantic Search

Semantic search seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Author Seth Grimes lists "11 approaches that join semantics to search", and Hildebrand et al. provide an overview that lists semantic search systems and identifies other uses of semantics in the search process. Semantic search systems consider various points including context of search, location, intent, variation of words, synonyms, generalized and specialized queries, concept matching and natural language queries to provide relevant search results.
Posts about Semantic Search
  • Semantic Search: What it Means for SEO in 2017

    … The combination of semantics (the science of meaning in language) with search engines that process billions of queries seems a very natural one. Semantic search has been effective, too; by understanding the intent of a query and the context of the user, the accuracy of results on search engines like Google and Bing has increased significantly…

    Search Engine Watchin Paid Search SEO- 22 readers -
  • Five important updates to Google semantic search you might have missed

    … What is semantic search? Broadly speaking, it’s a term that refers to a movement towards more accurate search results by using various methods to better understand the intent and context behind a search. Or as Alexis Sanders very eloquently explained it on the Moz Blog, “The word “semantic” refers to the meaning or essence of something…

    Search Engine Watchin Google- 20 readers -
  • Google Patents Extracting Facts from the Web

    … entity, an attribute possessed by the entity, and the value of the attribute for the entity. I’m reminded of an early Google Provisional patent that Sergy Brin came up with in the 1990s. My post about that patent I called, Google’s First Semantic Search Invention was Patented in 1999. The patent it is about was titled Extracting Patterns…

    Bill Slawski/ SEO by the Seain Google- 22 readers -
  • Working the Grey areas of Search Visibility

    … Recently, I found myself in the midst of an online debate about the search engine optimization value of GooglePlus content. Some of my colleagues insisted links from the platform worked their way into Google’s algorithm and content; others were adamant that G+ listings – and perhaps all social content – was irrelevant from a pure SEO and ranking…

    Randy Milanovic/ KAYAK ONLINE MARKETING BLOG in Paid Search- 16 readers -
  • OK Google. What does Voice Search mean for SEO?

    … to determine intent behind user queries and focused more on semantic language. It accelerated a change in SEO to focusing more on inherently useful and in-depth content, rich with context, rather than keywords. Voice search is another step in this direction and shows us that it’s more and more important to be aware of “the why” behind what users…

    Tamar SEO and Social Blogin SEO Google- 26 readers -
  • Let's Talk About Google's Elephant in the Room

    …, Rankbrain. By bringing together semantic (contextual) search with intent-discerning algorithms, the underlined software follows what amounts to a five-step process in hundredths of a second: Let a user enter a search string (while offering suggestions) Decipher what the user might actually be looking for, given the query and their location…

    Randy Milanovic/ KAYAK ONLINE MARKETING BLOG - 23 readers -
  • Ann Smarty on How to Do Keyword Research

    … Conducting keyword research is a bit rough these days. There are just so many people online, so many businesses, so many new startups and websites competing for Google search positions. Keywords are quickly monopolized, mercenary tactics and big budgets from multi-national corporations eating up all the good ones. That leaves smaller guys…

    KAYAK ONLINE MARKETING BLOG in SEO How To's- 23 readers -
  • The natural evolution of digital for brands: becoming more human

    … intelligence is now embedded across platforms and services, harnessing intent understanding and using a vast base of semantic knowledge. When coupled with machine learning that’s infused throughout all of our digital interactions, technology is becoming more human. People and machines are able to sustain conversations with personal digital assistants…

    Search Engine Watch- 10 readers -
  • Voice: the future of next-gen search – expert predictions

    … on a semantic prediction of needs. In other words, search engines return results based on the user’s historical behavior and the current context. “I think that’s where voice search really comes into its own – when your device is saying to you some things you might want to know,” suggest WIll Critchlow. The growth of voice search is leading to more…

    Search Engine Watch- 35 readers -
  • How Google May Map a Query to an Entity for Suggestions

    … Search predictions come from: – The terms you’re typing. – What other people are searching for, including trending searches. Trending searches are popular stories in your area that change throughout the day. Trending searches aren’t related to your search history. – Relevant searches you’ve done in the past (if you’re signed in to your Google…

    Bill Slawski/ SEO by the Seain SEO- 25 readers -
  • Are You Sure You Want a Top Spot on Google?

    … Roughly 60% of all search engine visits go to the top three results for any query. That’s a lot of traffic for those businesses. But what percentage of that 60% actually lead to a sale? For transactional querries (availability, price, proximity, urgency), it's likely substantial. But for B2B or consultative businesses, it's going…

    Randy Milanovic/ KAYAK ONLINE MARKETING BLOG - 17 readers -
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