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What Is the Google Knowledge Graph & How it Works

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what is the google knowledge graph how it works via mattgsouthern

Google’s Knowledge Graph is like a “giant virtual encyclopedia of facts” that Google references to generate certain elements of search results.

The virtual encyclopedia, as Google puts it, has grown to be quite large.

But what goes into creating the knowledge panels Google shows in its search results?

In this post, you’ll learn the basics of Google’s Knowledge Graph and how Google generates knowledge panels.

What Is the Google Knowledge Graph

Google’s Knowledge Graph is now comprised of over 500 billion facts about 5 billion entities, according to Google’s Search Liaison, Danny Sullivan.

Google’s Knowledge Graph is responsible for generating the boxes shown in search results for queries about people, places, and things.

Those boxes, called knowledge panels, present a list of key facts pulled from the Knowledge Graph.

According to Google:

“They’re designed to help you quickly understand more about a particular subject by surfacing key facts and to make it easier to explore a topic in more depth.”

How Google Generates Knowledge Panels

Knowledge panels are automatically generated, which Google points out in case anyone thinks there’s someone updating these things manually.

Google’s automated systems aim to show the most relevant and popular information for an entity in a knowledge panel.

What’s shown in a knowledge panel will vary from one entity to another, but generally Google will include:

  • Title and short summary of the topic
  • A longer description of the subject
  • A picture or pictures of the person, place or thing
  • Key facts, such as when a notable figure was born or where something is located
  • Links to social profiles and official websites

A knowledge panel may also include more specialized information depending on the type of entity being searched for.

For example, certain types of knowledge panels may include:

  • Songs from musical artists
  • Upcoming episodes from TV shows
  • Rosters of sports teams

Where Does the Information Come From?

Google’s Knowledge Graph, introduced in 2012, gets its information from web content as well as licensed databases.

Wikipedia is one of the most commonly cited sources, but it’s not the only source.

According to Sullivan:

“We draw from hundreds of sources from across the web, including licensing data that appears in knowledge panels for music, sports and TV.

We work with medical providers to create carefully vetted content for knowledge panels for health issues.

We also draw from special coding that content owners can use, such as to indicate upcoming events.”

Multiple Knowledge Panels on Mobile

Since Knowledge Panels were first launched, search behavior has shifted to the point where most activity now occurs on mobile.

Knowledge Panels were originally designed for desktop search, and initially weren’t very compatible with mobile screens.

Mobile screen size doesn’t allow for a side-by-side display in the same way desktop does.

To work around this, Google presents multiple knowledge panels in mobile search which are spread throughout the SERPs.

What Is the Google Knowledge Graph & How it Works

Changing a Knowledge Panel

Sullivan admits that inaccuracies in the Knowledge Graph can happen, which leads to the wrong information being displayed in search results.

If you spot an inaccuracy you can notify Google by selecting the “Feedback” option.

What Is the Google Knowledge Graph & How it Works

Google uses this feedback to improve the Knowledge Graph by analyzing it to understand how the inaccuracies weren’t automatically detected.

Further, Google will remove inaccurate facts that are brought to its attention, especially when they relate to public interest topics.

Those who have “claimed” their own knowledge panel, such as a person or company, can communicate changes directly to Google at any time.

How to Get in Google’s Knowledge Graph

There is no exact way to get content in Google’s Knowledge Graph, but there are various optimization methods that can improve a site’s chances of being included in it.

Here are different ways you can optimize content for Google’s Knowledge Graph:

  • Use structured data markup
  • Create a Google My Business profile
  • Get listed on Wikidata.org and Wikipedia
  • Build more links
  • Create social media profiles
  • Create listings in relevant directories
  • Promote your content and share it widely

Utilize the above tactics in conjunction with traditional SEO to maximize the chances of getting your content in Google’s Knowledge Graph.

Does Google’s Knowledge Graph Help SEO?

Yes, the Knowledge Graph does help SEO as it improves Google’s understanding of what a page is about and which queries it’s relevant for.

The more context Google has about a page the more efficiently it can rank said page.

Another way Google’s Knowledge Graph helps with SEO is by making content discoverable across more surfaces.

Google is more capable of returning the content for natural languages queries, such as voice searches, as it can recognize individual attributes and entities.

Knowledge Graph content may be displayed more prominently in search results as it’s eligible for Knowledge Panels and rich results.

How to Request Edits to Knowledge Graph

Knowledge Panels are automatically generated but, if Google gets it wrong, site owners can request edits using the “request an edit” button.

Request an edit to Google’s Knowledge Graph by following the steps below:

  • Go to Google Search.
  • Sign in to the Google account associated with the entity that you represent.
  • Search for your entity on Google and find its knowledge panel. Ensure you see your entity’s title at the top of the knowledge panel.
  • At the top of the knowledge panel, click Suggest an edit (or Suggest edits on mobile).
  • Click the information that you want to change. If you have multiple suggestions, submit feedback for each item separately.
  • In the response box that opens, write a short description that includes the following:
    • Clearly state your suggested change.
    • Explain why you believe your suggestion should replace the existing content.
    • If applicable, include any publicly accessible URLs that confirm your suggested changes.
  • Click Send.

More Resources

For information about Google’s Knowledge Graph and knowledge panels, see the resources below:

Searchenginejournal

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Google’s Next-Gen AI Chatbot, Gemini, Faces Delays: What to Expect When It Finally Launches

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Google AI Chatbot Gemini

In an unexpected turn of events, Google has chosen to postpone the much-anticipated debut of its revolutionary generative AI model, Gemini. Initially poised to make waves this week, the unveiling has now been rescheduled for early next year, specifically in January.

Gemini is set to redefine the landscape of conversational AI, representing Google’s most potent endeavor in this domain to date. Positioned as a multimodal AI chatbot, Gemini boasts the capability to process diverse data types. This includes a unique proficiency in comprehending and generating text, images, and various content formats, even going so far as to create an entire website based on a combination of sketches and written descriptions.

Originally, Google had planned an elaborate series of launch events spanning California, New York, and Washington. Regrettably, these events have been canceled due to concerns about Gemini’s responsiveness to non-English prompts. According to anonymous sources cited by The Information, Google’s Chief Executive, Sundar Pichai, personally decided to postpone the launch, acknowledging the importance of global support as a key feature of Gemini’s capabilities.

Gemini is expected to surpass the renowned ChatGPT, powered by OpenAI’s GPT-4 model, and preliminary private tests have shown promising results. Fueled by significantly enhanced computing power, Gemini has outperformed GPT-4, particularly in FLOPS (Floating Point Operations Per Second), owing to its access to a multitude of high-end AI accelerators through the Google Cloud platform.

SemiAnalysis, a research firm affiliated with Substack Inc., expressed in an August blog post that Gemini appears poised to “blow OpenAI’s model out of the water.” The extensive compute power at Google’s disposal has evidently contributed to Gemini’s superior performance.

Google’s Vice President and Manager of Bard and Google Assistant, Sissie Hsiao, offered insights into Gemini’s capabilities, citing examples like generating novel images in response to specific requests, such as illustrating the steps to ice a three-layer cake.

While Google’s current generative AI offering, Bard, has showcased noteworthy accomplishments, it has struggled to achieve the same level of consumer awareness as ChatGPT. Gemini, with its unparalleled capabilities, is expected to be a game-changer, demonstrating impressive multimodal functionalities never seen before.

During the initial announcement at Google’s I/O developer conference in May, the company emphasized Gemini’s multimodal prowess and its developer-friendly nature. An application programming interface (API) is under development, allowing developers to seamlessly integrate Gemini into third-party applications.

As the world awaits the delayed unveiling of Gemini, the stakes are high, with Google aiming to revolutionize the AI landscape and solidify its position as a leader in generative artificial intelligence. The postponed launch only adds to the anticipation surrounding Gemini’s eventual debut in the coming year.

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Google Brings Bard Students Math and Coding Education in the Summer

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Google Brings Bard Students Math and Coding Education in the Summer

Google is stepping up its AI efforts this summer by sending Bard, its high-profile chatbot, to summer school. The aim? To boost the bot’s math and coding smarts. These developments are excellent news— when Bard first debuted, it was admittedly not a finished product. But Google is steadily plugging away at it, and have now implemented implicit code execution for logical prompts, and handy Google Sheets’ integration to take it to the next level.

Thanks to implicit code execution, Bard can respond to inquiries requiring calculation or computation with Python code snippets running in the background. What’s even more amazing is that coders can take this generated code and modify it for their projects. Though Google is still apprehensive about guaranteeing the accuracy of Bard’s answers, this feature is said to improve the accuracy of math and word problems by an impressive 30%.

In addition to this, Bard can now export directly to Sheets when asked about tables. So, you don’t need to worry about copying and pasting, which comes with the risk of losing formatting or data.

From the company’s I/O keynote address, it is clear that they are focused on making the most of what Bard can offer. As they continue to speak highly of the chatbot, we’re sure to expect more features and capabilities when the summer comes around.

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Google Bard vs. ChatGPT: which is the better AI chatbot?

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Google Bard vs. ChatGPT: which is the better AI chatbot?

Google Bard and ChatGPT are two of the most prominent artificial intelligence (AI) chatbots available in 2023. But which is better? Both offer natural language responses to natural language inputs, using machine learning and millions of data points to craft useful, informative responses. Most of the time. These AI tools aren’t perfect yet, but they point to an exciting future of AI assistant search and learning tools that will make information all the more readily available.

As similar as these chatbots are, they also have some distinct differences. Here’s how ChatGPT and Google Bard measure up against one another.

Which is better, Google Bard or ChatGPT?

This is a tricky question to answer, as at the time of writing, you can only use Google Bard if you’re part of a select group of early beta testers. As for its competition, you can use ChatGPT right now, completely for free. You may have to contend with a waitlist, but if you want to skip that, there’s a paid-for Plus version offering those interested in a more complete tool the option of paying for the privilege.

Still, when Google Bard becomes more widely available, it should offer credible competition for ChatGPT. Both use natural language models — Google Bard uses Google’s internal LaMDA (Language Model for Dialogue Applications), whereas ChatGPT uses an older GPT-3 language model. Google Bard bases its responses to questions on more recent data, with ChatGPT mainly trained on data that was available prior to 2021. This is similar to how Microsoft’s Bing Chat works.

We’ll have to reserve judgment on which is the more capable AI chatbot until we get time to play with Google Bard ourselves, but it looks set to be a close contest when it is more readily available.

Are Google Bard and ChatGPT available yet?

As mentioned, ChatGPT is available in free and paid-for tiers. You might have to sit in a queue for the free version for a while, but anyone can play around with its capabilities.

Google Bard is currently only available to limited beta testers and is not available to the wider public.

Banner of Google Bard intro from February 6.

What’s the difference between Google Bard and ChatGPT?

ChatGPT and Google Bard are very similar natural language AI chatbots, but they have some differences, and are designed to be used in slightly different ways — at least for now. ChatGPT has been used for answering direct questions with direct answers, mostly correctly, but it’s caused a lot of consternation among white collar workers, like writers, SEO advisors, and copy editors, since it has also demonstrated an impressive ability to write creatively — even if it has faced a few problems with accuracy and plagiarism.

Still, Microsoft has integrated ChatGPT into its Bing search engine to give users the ability to ask direct questions of the search engine, rather than searching for terms of keywords to find the best results. It has also built it into its Teams communications tool, and it’s coming to the Edge browser in a limited form. The Opera browser has also pledged to integrate ChatGPT in the future.

ChatGPT Google Bard
Accessible through ChatGPT site. Only text responses are returned via queries. Integrated with Google Search. You only need to change a Google setting to get your regular search results when using Google Bard AI, and vice versa.
ChatGPT produces answers from its trained database from 2021 and before. Google Apprentice Bard AI will be able to answer real-time questions.
Based on GPT (Generative Pre-trained Transformer). Based on LaMDA (Language Model for Dialogue Applications).
Service has a free and paid plan option (called ChatGPT Plus). Service is free.
Has built-in plagiarism tool called GPT-2 Output Detector. No built-in plagiarism detection tool.
Available now Still in beta test phase

Google Bard was mainly designed around augmenting Google’s own search tool, however it is also destined to become an automated support tool for businesses without the funds to pay for human support teams. It will be offered to customers through a trained AI responder. It is likely to be integrated into the Chrome browser and its Chromium derivatives before long. Google is also expected to open up Google Bard to third-party developers in the future.

Under the hood, Google Bard uses Google’s LaMDA language model, while ChatGPT uses its own GPT3 model. ChatGPT is based on slightly older data, restricted in its current GPT3 model to data collected prior to 2022, while Google Bard is built on data provided on recent years too. However, that doesn’t necessarily make it more accurate, as Google Bard has faced problems with incorrect answers to questions, even in its initial unveiling.

ChatGPT also has a built-in plagiarism checker, while Google Bard does not, but Google Bard doesn’t have the creative applications of ChatGPT just yet.

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