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The document US 20050131872A1 describes a system and method for executing queries across multiple data sources, including remote ones with specialized data. It features a query processor that modifies input queries for better accuracy, performs spell checks, classifies queries based on user context and historical data, and selects appropriate data sources for execution. The system aims to enhance the efficiency of query responses by utilizing various recognizers to identify query types and intents.
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Google Books is our effort to make book content more discoverable on the Web. Using the Google Books API, your application can perform full-text searches and retrieve book information, viewability and eBook availability. You can also manage your personal bookshelves.
There are countless book APIs available for public use. I decided to use the Google Books API due to its cost (free!) and extensive documentation.
You need to create an API KEY in yout Google Cloud Credentials. In order to make requests to the Google Books API, you need to create an API key. Go to the Google Cloud Console (console.cloud.google.com) and navigate to the Credentials section. Create a new API key or use an existing one.
I decided to use the Google Books API due to its cost (free!) and extensive documentation. ing to their documentation, the Google Books API allows your application to perform full-text searches and retrieve book information, viewability, and eBook availability.
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Leveraging Knowledge Graphs for Web-Scale

Graph of strongly typed nodes (entities) connected by edges (properties). ◦ What are Examples of KGs? Freebase, DBPedia, Microsoft Satori, Google Knowledge.

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Click-words: learning to predict document keywords from a

by RI Doğan 2010 Cited by 19 We propose to use documents words popularity in user queries to identify click-words, a set of prominent words from the users perspective.

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Biperpedia: An Ontology for Search Applications

by R Gupta 2014 Cited by 99 Biperpedia extracts attributes from the query stream, and then uses the best extractions to seed at- tribute extraction from text. For every attribute

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