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Claim Your Knowledge Panel? – Knowledge Panels on Google

Claim Your Knowledge Panel is automatically generated, and the information that appears in them comes from various sources across the web. Sometimes, we collaborate with data partners who provide reliable information on specific topics. Such as movies or music, and combine it with data from other public web sources.

Table of Contents

Knowledge Panel

Knowledge panels remain found on the right side of the screen (or in the top #1 spot on smaller screens) in Google SERPs — search engine results pages Knowledge panels contain information and resources about a topic or “entity” such as Thomas Jefferson, the Olympics, Madrid, the Mona Lisa — or your business — as compiled by Google from Internet sources.

If Google decides that a knowledge panel remains needed for a particular business, Google compiles knowledge from multiple authoritative sources. Then, after the boards remain created, anyone can suggest edits to the information in those panels by clicking on the feedback link found at the bottom right of the meeting.

About knowledge panel

Knowledge Dashboards are boxes of information that appear in Google when searching for entities (people, places, organizations, or things) in the Knowledge Graph.

They intend to provide you with a summary of information on a specific topic based on Google’s interpretation of the web’s related content.
We also know that entities (such as prominent individuals or creators of a television show) whose information includes in knowledge panels have their accreditation. We offer methods for you to submit your comments directly.
Therefore, some of the information could also correspond to verified entities that suggested changes to their panels’ content.
The images displayed in the knowledge panel can come from different sources. For example, individuals who claimed their boards selected a featured image from those available on the web.
Other photos (especially when a collection of them is displayed) are previewed for entity-related Google
Images results and automatically fetched from across the web.
Knowledge Dashboards update automatically as information on the web changes. Still, Google also considers changes based on two primary resources.
Direct suggestions from the entities represented in the Knowledge Dashboard and general feedback.

Claim Your Knowledge Panel, Knowledge Panels on Google

When Google presented the knowledge graph, it also gave us the images section and the possibility of using other types of rich content (video, audio, etc.)

The Knowledge Panels and lists of images are shown in the carousels at the top of the pages in response to a query. “What is the tallest building in the world?”

And also, a patent granted to Google a couple of weeks ago describes how Google processes search engine queries and how it could display answers to questions using the Knowledge Panel and including images.
It was precisely on their page about the Knowledge Panel where they introduced carousels:
You may have noticed that some categorized results often appear when searching for images. Such is the case with the set of products that appear at the top of a search. For “expensive,” “beautiful,” and “luxury.”
Google now seems to have a better understanding of images and their peculiarities. One of the precursors of this system is listing in the patent mentioned in the document.
They are learning Semantic Representations of Objects and their Parts that much more information about images is being collecting and understood.

The summary of that document raises the ideas that we present below:

We design an architecture model that can be complete under proxy supervision by combining standard image annotation (from ImageNet).

However, with part-based semantic relationships within the tag (from WordNet).
And also, the model itself is designing to set up similarities between the object image and the object label.
And also, similarities between the object label and the object part label in a single system.
Experiments performed with our combined data, and a precisely annotated evaluation demonstrate the utility of our study.
We do not know if this experiment has brought about the improvement. We see in the images selected for the Carousels or the Knowledge Panel.
However, we also don’t understand how images are ranking in some image searches.

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