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Memex would also employ new retrieval techniques based on a new kind of associative indexing the basic idea of which is a provision whereby any item may be caused at will to select immediately and automatically another to create personal "trails" through linked documents. Īll of the documents used in the memex would be in the form of microfilm copy acquired as such or, in the case of personal records, transformed to microfilm by the machine itself. The process of tying two items together is the important thing. This is the essential feature of the memex. As he explained, this was “a provision whereby any item may be caused at will to select immediately and automatically another. īush regarded the notion of “associative indexing” as his key conceptual contribution. He then proposed the idea of a virtually limitless, fast, reliable, extensible, associative memory storage and retrieval system. Within this article Vannevar urged scientists to work together to help build a body of knowledge for all mankind. The concept of hypertext and a memory extension originates from an article that was published in The Atlantic Monthly in July 1945 written by Vannevar Bush, titled As We May Think. ( January 2021) ( Learn how and when to remove this template message) Please help by spinning off or relocating any relevant information, and removing excessive detail that may be against Wikipedia's inclusion policy. Specifically, hypertext-based search ranking applies to a small subset of search technology details about the history and implementation of Memex are not relevant.

Anything that looks like a dataset to you.This section may contain an excessive amount of intricate detail that may interest only a particular audience.Files relating to machine learning, such as trained parameters or neural network structure definitions.A structured object with data in some other format that you might want to.A collection of files that together constitute some meaningful dataset.A file in a proprietary format that contains data.Here are some examples of what can qualify as a dataset: Google is now calling them simply “Dataset” and expanding it beyond the science community to any data-driven agency. The purpose of this markup is to improve discovery of datasets from fields such as life sciences, social sciences, machine learning, civic and government data, and more.Īround two years ago, Google first announced this as Science datasets in search. Google’s approach to dataset discovery makes use of and other metadata standards that can be added to pages that describe datasets.

Google wrote:ĭatasets are easier to find when you provide supporting information such as their name, description, creator and distribution formats are provided as structured data.

Google’s developer site explains this is a “pilot” release of this markup. Here is what it looks like, with the markup version on the right: Google explained that “news organizations that publish data in the form of tables can add additional structured data to make the dataset parts of the page easier to identify for use in relevant Search features.” Google added, “News organizations add the structured data to their existing HTML of a page, which means that news organizations can still control how their tables are presented to readers.” This makes it possible for searchers to better visualize data represented on a web page directly in Google’s search results. Google has announced support for datasets markup schema in the Google search results.