PI-3

Prompt Internet Information Integration

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Huawei PI3 is an information retrieval platform that API like access to a wide range of web resources such as web pages and web services. PI3 platform allows users to define their own search engines (wrapper) to connect, extract and customize web data. A Search Engine (Wrapper) is a set of configuration metadata describing a search resource, through which PI3 uses to identify, understand and connect to the search engine and get search results back. Using the PI3 system, thousands of search engines can be incorporated and all engines can be searched online in parallel. PI3 is a great asset for developers and end-users who need to connect information sources and unify structured and unstructured data to structured data for their environments. Mobile Application developers, Web Service developers and users in need of an API can easily create structured, unified data. Through the system, thousands of search engines can be incorporated and all engines can be searched online. Huawei PI3 platform is a system that provides a set of unified API and a Google Chrome Extension based UI.

Through PI3 API, Web developers can use to connect to hundreds of search engines; through PI3 extension, web developers can create their own search engines and authentication engines fit for their needs. The scope of the Huawei PI3 platform is within wrapper generation, web data extraction, and search engine recommendation.

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• No need to write any code.
• Access to APIs with full JSON and XML formats.
• Easy integration with 3rd party platforms and data sources via Restful services.
• Advanced features for advanced users.

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• Problem-1: A team wants to create a Movie Database. So they need to collect movie data from the web.
• Solution-1: As the first step, the team defines websites to extract web pages and APIs to extract data. The sources are selected as “imdb.com, rottentomatoes.com”. Then with using the Google Chrome Extension of PI3, all required wrappers are created. By using these wrappers team collected movie data and created a database.

• Problem-2: GENIE Project needs free text to extract Turkish tokens.
• Solution-2: As the first step, the users need to define websites to extract data. In our case team selected some Turkish news web pages. (Sabah, Hurriyet, Zaman, etc.) Then with using the Google Chrome Extension of PI3, all required wrappers are created. By using these wrappers GENIE team collected 66 million tokens (words) with PI3 Search Service.

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