All Hands on the Microsoft Holodeck: A Look at Some of the Hololens Patents

I’ve written about some of the patents involved in Google’s Project Glass in the past, and very recently about the Google Ventures’ funded Magic Leap. Project Glass still exists, but it appears to now have new leadership and a new direction.

A heads Up Display from Microsoft
From “Exercising applications for personal audio/visual system” US8847988 B2

And then seemingly out of nowhere Microsoft announces a pair of goggles that they’ve been developing secretly, named the Hololens. And they’ve been feeding news sources some interesting information about them, like the article at Wired titled, “Project HoloLens: Our Exclusive Hands-On With Microsoft’s Holographic Goggles“. Continue reading All Hands on the Microsoft Holodeck: A Look at Some of the Hololens Patents

Share

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 using 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 Magic Leap with a substantial amount of money ($542 million), and Magic Leap responded with a new 180 page patent application that shows how it might create a “Cinematic Reality” in the world around us.

Here's a view of the glasses, and a belt pouch that does with them.
Here’s a view of the glasses, and a belt pouch that does with them.

With an 180 page long patent, there are a lot of images that go with it, so I’m going to mostly use pictures from the patent, Planar Waveguide Apparatus With Defraction Element(s) and System Employing Same for the rest of this post. Note that at least one of the pictures has a semantic element to it, which is pretty interesting, and there are mentions of the Semantic Web, like this one:

Continue reading Magic Leap and Their Augmented Reality Semantic Robots

Share

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 Text (pdf).

I sometimes like to start looking through the documents I see listed as citations or footnotes in a paper I find interesting, As I started looking at the documents in that paper, I found many of them to be very interesting.

And then an idea struck me.

Continue reading Direct Answers: Extracting Text from Pages Citations

Share

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 us about how such natural language direct answers are chosen by the search engine, but the following document, which shares the same authors as the inventors of the patent, and which was filed by them as a provisional patent, does give us some ideas on how those are found on the web.

We know that Google is looking for responses from pages that they consider to be “authoritative” pages.

Continue reading Direct Answers: How Answers are Extracted from Web Pages

Share

Lighting a Sign In Carlsbad

I am on the first week of my move from Northern Virginia to Carlsbad California, and I got to witness a historical local event last night. A sign was installed along a highway that goes along the Pacific Coast and through towns as it winds through the way. It’s something of a replica of a sign naming the Village of Carlsbad that was around approximately 100 years ago.

Last night, the town celebrated the lighting of the new sign, for the first time.

The lighting of the new sign in Carlsbad was a historical event.
The lighting of the new sign in Carlsbad was a historical event.

Continue reading Lighting a Sign In Carlsbad

Share

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 using an approach to try to take advantage of both question answering and keyword matching, as shown in the image below:

Intent-based Answer plus Keyword-based  Snippet Results
Intent-based Answer plus Keyword-based
Snippet Results

This post is the third of a five part series that takes a look at natural language answers showing up in search results, possibly under Google’s patent application, Natural Language Search Results for Intent Queries.

Continue reading Direct Answers – Using Query Intent Templates to Identify Answers

Share

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 and sentences, rather than some formalized and highly structured request for results like you might see in a programming language.

As the patent tells us:

Continue reading Direct Answers – Taken from Authority Websites

Share

Direct Answers – Natural Language Search Results for Intent Queries

In November, Google published an international patent that describes providing natural language type answers to queries.

Those answers focus less upon finding pages on the Web about those queries, and more on Natural Language results for the queries.

Here’s an example, from the patent filing of a set of natural language answers to a query about “symptoms of mono”.

Natural Language results on a query for 'Symptoms of Mono' from authoritative sources.
Natural Language results on a query for ‘Symptoms of Mono’ from authoritative sources.

The patent has a number of interesting and complex issues, and rather than trying to cover it all in one day, I’m planning on breaking it down into five parts to start the year off.

SEO by the Sea will be relocating to the west coast next week, and posting might be a little light at the start of the week, so this series is intended to kick the year off with a look at how Google has been combining both web page indexing and ranking with data indexing, like in the search result example above.

Continue reading Direct Answers – Natural Language Search Results for Intent Queries

Share

Getting Information about Search, SEO, and the Semantic Web Directly from the Search Engines