The aspect further includes receiving a query for semi-structured data items, wherein the query specifies requirements for values for one or more keys; identifying schemas from the plurality of schemas that identify locations for values corresponding to each of the one or more keys; for each identified schema, searching the encoded data items associated with the schema to identify encoded data items that satisfy the query; and providing data identifying values from the encoded data items that satisfy the query in response to the query. Searching the encoded data items associated with the schema includes: searching, for each encoded data item associated with the schema, the locations in the encoded data item identified by the schema as storing values for the specified keys to identify whether the encoded data item stores values for the specified keys that satisfy the requirements specified in the query. … [Read more...] about Google Patent on Structured Data Focuses upon JSON-LD
Structured xml data
For instance, I would have thought that someone at Google would, by now, have written a program to examine a webpage, determine that it’s a recipe, and parse it out and figure out the ingredients, steps, and times. Instead, it seems that Google’s solution is instead, hey, it would be great if you would just mark up and label all the information in your recipes – thanks. … [Read more...] about Structured Data Markup Was Inevitable, But Is It An Admission Of Failure?
“Annotating your data doesn’t actually change the visible content, but gives Bing valuable information on the type of content you’re hosting on your site. On our side, we put your annotations to good use, for example by using them to increase the visual appeal of your search results, or to supplement and validate our data sources.” … [Read more...] about Employing Microformats & Structured Data For Enhanced Search Engine Visibility
Given that there are many local businesses (more than 50%) that still don’t have websites – even though their data may in fact be somewhere online – you would have thought that the search engines and directories would have been very aggressive and accommodating in encouraging them to directly input their information. To its credit, Yahoo has for some time allowed business owners and more recently consumers to correct and update information. (See, for example, “edit this listing.”) And Google not long ago enhanced its Local Business Center and greatly expanded the information that could be included. … [Read more...] about Local Data: Not Sexy Just Critical
In 2014, Google published their Biperpedia paper, which tells us about how they might create ontologies from Query streams (sessions about specific topics) by finding terms to extract data from the Web about. At one point in time, Search engines would do focused crawls of the web starting at sources such as DMOZ, so that the Index of the Web they were constructing contained pages about a wide range of categories. By using query stream information, they are crowdsourcing the building of resources to build ontologies about. This paper tells us that Biperpedia enabled them to build ontologies that were larger than what they had developed through Freebase, which may be partially why Freebase was replaced by wiki data. … [Read more...] about Schema, Structured Data, and Scattered Databases such as the World Wide Web