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Home. AlchemyAPI - Transforming Text Into Knowledge. Overview. The YQL Web Service enables applications to query, filter, and combine data from different sources across the Internet.

Overview

YQL statements have a SQL-like syntax, familiar to any developer with database experience. The following YQL statement, for example, retrieves geo data for Sunnyvale, CA: select * from geo.places where text="sunnyvale, ca" To access the YQL Web Service, a Web application can call HTTP GET, passing the YQL statement as a URL parameter, for example: * from geo.places where text="sunnyvale, ca" When it processes a query, the YQL Web Service accesses a datasource on the Internet, transforms the data, and returns the results in either XML or JSON format. Content Analysis Web Service. Submitting Content Analysis Queries Our recently released Content Analysis Web Service detects entities/concepts, categories, and relationships within unstructured content.

Content Analysis Web Service

It ranks those detected entities/concepts by their overall relevance, resolves those if possible into Wikipedia pages, and annotates tags with relevant meta-data. Please give our content analysis service a try to enrich your content. Request URL The Content Analysis service is available as an YQL table. Note: Due to the context being a potentially lengthy string, Content Analysis requests should be submitted using an HTTP POST request rather than GET. Request parameters Sample Text Request : Response fields Sample response The following is a sample response for the sample query above: <? Rate Limits The Content Analysis service is limited to 5,000 queries per IP address per day and to noncommercial use. Terms of Use Please see our Usage Policy to learn about acceptable uses and how to request additional queries.

Errors. RelFinder - Visual Data Web. Are you interested in how things are related with each other?

RelFinder - Visual Data Web

The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access. Check out the following links for some examples: The RelFinder can easily be configured to work with different RDF datasets. The RelFinder can also be more deeply integrated with your project: Integrating the RelFinder See the following examples of how the RelFinder is integrated into other projects: Ontotext applies the RelFinder to enable an exploration of relationships in the biomedical domain. All tools on this website are research prototypes that might contain errors.

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