“How Long is Harry Potter?” is asked in a diagram from a Google Patent. The answer to this vague question is unlikely to do with a length related to the fictional character but may have something to do with one of the best selling books or movies featuring Harry Potter. When questions are asked as … Read more How would Google Answer Vague Questions in Queries?
Search Using Structured Data Structured Data is information that is formatted into a repository that a search engine can read easily. Some examples include XML markup in XML sitemaps and schema vocabulary found in JSON-LD scripts. It is distinct from semi-structured, and unstructured data that have less formatting. A search engine that answers questions based … Read more Google Patent on Structured Data Focuses upon JSON-LD
Visiting Seattle to Speak about Structured Data I spoke at SMX Advanced this week on Schema markup and Structured Data, as part of an introduction to its use at Google. I had the chance to visit Seattle and tour some of it. I took some photos, but I would like to go back sometimes and … Read more Schema, Structured Data, and Scattered Databases such as the World Wide Web
I recently bought a lemon tree and wanted to learn how to care for it. I started asking about it at Google, which provided me with other questions and answers related to caring for a lemon tree. As I clicked upon some of those, others were revealed that gave me more information that was helpful. … Read more Google Related Questions now use a Question Graph
I went to the Pubcon 2017 Conference this week in Las Vegas Nevada and gave a presentation about Semantic keywords and topic models based upon white papers and patents from Google. My focus was on things such as Context Vectors and Phrase-Based Indexing. I promised in social media that I would post the presentation on … Read more Semantic Keywords Research and Topic Models