Libraries tagged by data publisher

## Introduction Use the Numeno Article Recommender API to receive a curated selection of articles from across the web. See below for the steps to creating a Feed, as well as an introduction to the top-level concepts making up the Article Recommender API. ## Steps to creating a Feed 1. Create a Feed - [`/feeds`](create-feed) 2. Create a number of Stream queries associated with the Feed - [`/feeds/:feedId/streams`](create-stream) 3. Pull from the Feed as the Feed refreshes - [`/feeds/:feedId/articles`](get-articles-in-feed) 4. Use those Article IDs to look up metadata for the Articles -[`/articles/:id`](get-article-by-id) 5. Visit the Article links and render to your server DB or client app. ## Sources, Articles and Topics A **Source** is a place where Articles come from, typically a website, a blog, or a knowledgebase endpoint. Sources can be queried for activity via the [`/sources`](get-sources) endpoint. Beyond the Sources Numeno regaularly indexes, additional Sources can be associated with Stream queries, and Sources can be `allowlist`/`denylist`'d. **Articles** are the documents produced by Sources, typically pages from a blogpost or website, articles from a news source, or posts from a social platform or company intranet. See the [`/articles`](search-articles) endpoint. **Topics** - Numeno has millions of Topics that it associates with Articles when they are sourced. Topics are used in Stream queries, which themselves are composed to create Feeds. Get topics via the [`/topics`](get-topics) endpoint. ## Feeds **A Feed is a collection of Streams.** Feeds are configured to refresh on a regular schedule. No new Articles are published to a Feed except when it's refreshed. Feeds can be refreshed manually if the API Key Scopes allow. You can ask for Articles chronologically or by decreasing score. You can also limit Articles to a date-range, meaning that you can produce Feeds from historical content. Interact with Feeds via the [`/feeds`](create-feed) endpoint. ## Streams Think of a **Stream** as a search query with a "volume control knob". It's a collection of Topics that you're interested and a collection of Sources you'd explicitly like to include or exclude. Streams are associated with a Feed, and a collection of Streams produce the sequence of Articles that appear when a Feed is refreshed. The "volume control knob" on a Stream is a way to decide how many of the search results from the Stream query are included in the Feed. Our searches are "soft", and with a such a rich `Article x Topic` space to draw on, the "volume control" allows you to put a cuttoff on what you'd like included. Streams are a nested resource of `/feeds` - get started by explorting [`/feeds/:feedId/streams`](create-stream).

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A simple trait to insert or update data to models from Google Sheets with just the link of the published spreadsheet. No need of Google API.

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Scalable and durable data import for publishing and consuming APIs.

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Block Editor plugin to permit contributing users to set a proposed publishing date

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Kirby plugin to schedule the automatic publishing of pages on a certain date+time. It is built to work with enabled cache.

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Import/export bundle for Ibexa based on Code-Rhapsodie Dataflow

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Allows to publish non privacy related customer data into storage.

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Semantic data wiki as well as Linked Data publishing engine

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Add SEO Meta Data to content objects also provides sitemap capabilities to eZ Publish

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This module adds embargo/expiry scheduling to your data objects and site tree.

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A library and server-side implementation supporting a limited number of the COAR Notify pattern objects. Server-side implementation assumes MySQL. If you are looking for a full, generic implementation of the COAR Notify protocol see https://packagist.org/packages/cottagelabs/coarnotify

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Feature Rich Dynamic Linked Data publishing for small datasets

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Set a date to automatically publish a page

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The Boxalino Client SDK provides a simple and efficient usage of Boxalino Search & Recommendations services (based on the p13n Thrift client libraries as separately provided in respective git-hub repositories) and to Boxalino Data Intelligence especially for Data Synchronization (define the structure of your data, push and publish your data structure configuration, push data in dev/prod and full/delta to Boxalino).

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A tool to quickly censor data structures and JSON files before publishing them.

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