How Bing May Expand Queries Based upon Finding Entities Within them
“Examples of entity graphs include Microsoft Corporation’s Satori and Google’s Knowledge Graph, or Facebook’s semantic graph.” A Microsoft patent application was published at the World Intellectual Property Organization this week on Semantic Search issues that describe how Microsoft’s Understanding of Entities may influence the search results you might see at Bing. As a Microsoft patent … Continue reading How Bing May Expand Queries Based upon Finding Entities Within them →
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How Named Entities Connected to Trending Topics can be used to Address Real Time Search Results
When someone performs a search at one of the major search engines, the search engine focuses upon returning as quick and helpful an answer as possible. Part of that can involve looking the query up in a “trending topics” database to see if there’s some recent news that should be reported to the searcher. This … Continue reading How Named Entities Connected to Trending Topics can be used to Address Real Time Search Results →
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SEO from Google’s Direct Answers
Google has started showing Direct answers to questions related to SEO. That has made me wonder how much someone could learn abvout SEO at Google with those direct answers, and I wanted to see what terms google was showing results from and which sources. I expect there to possibly be a log of churn in … Continue reading SEO from Google’s Direct Answers →
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Google’s Knowledge Cards
In the Google patent “Providing Knowledge Panels With Search Results” is a reference to an earlier Google patent filing describing Knowledge Cards in depth. The patent provision is titled, “Apparatus and Method for Supplying Search Results with a knowledge Card”, and it is identified as being Patent Application No. 61/515,305, filed on Aug. 4, 2011. … Continue reading Google’s Knowledge Cards →
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Semantic SEO in San Diego
On Tuesday, March 17, 2013 we are having a Lotico San Diego Semantic Web on the topic of SEO meets Semantic Web. It’s a free meetup and we have a number of people who have signed up to attend the lectures and network. We will be having Green Pizza (Pesto and Spinach varieties), and green … Continue reading Semantic SEO in San Diego →
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Magic Leap and Their Augmented Reality Semantic Robots
The temptation was to write this blog post mostly in pictures, since it’s about visual representations of things, based sometimes on a combination of objects that were understood based upon object recognition, and virtual semantic images superimposed on those, learned of from a knowledge base. Google Ventures and a couple of partners funded the company … Continue reading Magic Leap and Their Augmented Reality Semantic Robots →
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Direct Answers: Extracting Text from Pages Citations
This is the last post in a series about Google’s International patent application Natural Language Search Results for Intent Queries. This section was inspired by the citations list at the end of a paper used by the listed inventors as a provisional patent, that preceded that patent. The paper was Scalable Attribute-Value Extraction from Semi-Structured […]
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Direct Answers: How Answers are Extracted from Web Pages
I’ve been writing recently about a patent from Google on Direct Answers, and how Google might take those from authoritative sources, using an intent template process (“what are the symptoms for [measles, flu, athlete’s foot,ebola]”) to include many direct answer responses to natural language queries, while also showing keyword-based search results. The patent doesn’t tell […]
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Direct Answers – Using Query Intent Templates to Identify Answers
Almost a year ago, Search Engine Land published an article titled Google Search OneBox Answers Are Getting More Detailed. Search Engine Land has been referring to question-answering type results as Direct Answers, since they don’t seem to follow the normal rules of search results that return documents matching keywords in a query. Instead, they were […]
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Direct Answers – Taken from Authority Websites
Part One of this series – Direct Answers – Natural Language Search Results For Intent Queries One of the most important parts of the “Natural Language Search Results for Intent Queries” patent application is how it describes both queries and search results as being in “natural language.” By natural language, it means ordinary conversational words […]
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How a Search Engine Might Use Entities to Respond to Compositional Queries
A compositional query may be aimed at providing a data point to identify another related data point as an answer or solution to that query. For example, the following two queries are compositional queries and focus upon an answer at a fixed location or a fixed point of time: [Starbucks near San Francisco Airport] [Films […]
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Insightful Connections Between Entities on Google’s Knowledge Graph
We’re used to search engines matching the keywords we query, returning pages that contain those words. But what if search engines worked differently? It seems like search engines are starting to do that, with more direct answers to searches that show up as a fact, appearing at the top of a set of search results […]
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Google’s Query Language
There’s a “Greenway park” near me, built where a train had previously roamed for over 100 years. The park is narrow and not much wider than the width of railroad cars. It cuts a nice path for local residents to use to walk across town, and it’s a relaxing trail to parks and schools and […]
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Google Patent on Ads with Named Entities
In the start of a patent granted at Google from this past September, we’re told that: Implementations of the systems and methods for entity-based searching with content selection are described herein. The phrase “content selection,” when it appears in Google patents, doesn’t often refer to site owners creating content on their web sites, but usually […]
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The Early Days of the Semantic Web
In 2003, a paper titled Semantic Search , was published by R. Guha of IBM. Rob McCool of Knowledge Systems Lab at Stanford University, and Eric Miller of W3C and MIT. Their stated goal in the paper was to take technologies such as web services and the Semantic Web and use them to “improve traditional […]
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Searching with Pronouns: What are they? Coreferences in Followup Queries
At Google’s 15th anniversary celebration last summer, shortly after Hummingbird was introduced, Tamar Yehoshua, Google VP of Search, showed us conversational search at Google (the video should automatically advance to 21m, 21s in the presentation below once you click on the start button, but if it doesn’t, you may have to advance it yourself.) She […]
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Google How To Snippets and Cooking with Semantics
Google recently started showing “How to” lists in search results, which tend to show the first few steps of some task, and then let you click through to a page to see more. Like the recipes above for things like guacamole: By Nikodem Nijaki (Own work) [CC-BY-SA-3.0], via Wikimedia Commons They have also published an […]
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How To Tell Search Engines What “Entities” Are On Your Web Pages
Search engines have increasingly been incorporating elements of semantic search to improve some aspect of the search experience — for example, using schema.org markup to create enhanced displays in SERPs (as in Google’s rich snippets). Elements of semantic search are now present at…
Please visit Search Engine Land for the full article.
From 10 Blue Links To Entity SERPs: Is Your Website Ready?
Search is changing and along with it the landscape of search results. SERPs are more adaptive, more engaging, more informative, more interactive and more personalized. The adoption of Semantic Search- and Semantic Web-related enhanced displays in SERPs…
5 Ways To Unlock The Benefits Of Semantic Search
Search is changing. It is now more personal, more engaging, more interactive and more predictive. SERPs no longer display just 10 blue links — they have become more useful and more visually appealing across all device types. Semantic search is at the forefront of these changes, as evidenced…
Please visit Search Engine Land for the full article.