Software RightFind XML Access scientific articles in machine-readable XML format RightFind XML powers AI discovery with the most comprehensive coverage of full-text article content and text mining rights available on the market today. Speak to our team Discover more View product sheet Features Identify full-text articles, download full-text XML versions of articles, and import them into your preferred knowledge extraction tool Access entities, facts, and relationships in full text that cannot be found in article abstracts Benefits Improve the results of your text mining initiatives across the R&D, go-to-market, and post-market pipeline Decrease the time and costs associated with article conversions, content management, and negotiations with publishers Reduce your company’s risk profile by integrating copyright into knowledge-extraction workflows Find out more about RightFind XML –Toggle Accordion Flexible retrieval methods to meet your unique needs Pick from a variety of flexible retrieval methods to access XML-formatted scientific articles, licensed for commercial text and data mining. RightsDirect’s search interface Create queries based on a specific project, filter results, and download files relevant to your current needs. Embed RightFind XML functionality Embed RightFind XML functionality into your preferred automated tools and processes using a RESTful API. Utilize data feed Receive specified subscribed content in XML format at a regular cadence. Featured resources Product sheet Integration with Linguamatics I2E overview While text mining data from scientific article abstracts provides some value, there are limits to what data can be found. Linguamatics, an IQVIA company, delivers market-leading natural language processing (NLP) based AI solutions. This integration ensures that you don’t miss vital data, discoveries, and assertions that are only published in the full-text. Blog Fueling Your AI & Machine Learning Projects with XML Content – Why Flexible Retrieval Options Are Crucial Learn why RightsDirect offers flexible retrieval methods to incorporate scientific articles into AI and machine learning initiatives. Blog Top 3 Challenges When Using Scientific Articles in AI & Machine Learning Projects Despite the many benefits of text mining, researchers face a number of obstacles before they even get a chance to run queries against the body of scholarly literature. Here are some tips to overcome these challenges. Blog 5 Considerations for Knowledge Managers Leveraging Scientific Literature for Text and Data Mining When consuming full-text content, there are many factors a knowledge manager should consider when trying to develop an optimal workflow that is suitable for their organization’s needs. Here are a few. See more resources Featured solutions RightFind Enterprise Discover, manage, and collaborate on published content, fast – anytime, anywhere Discover more RightFind Insight Reveal undiscovered connections and relevant scientific concepts faster Discover more RightFind Navigate Unify siloed data and content while enhancing discovery Discover more
Product sheet Integration with Linguamatics I2E overview While text mining data from scientific article abstracts provides some value, there are limits to what data can be found. Linguamatics, an IQVIA company, delivers market-leading natural language processing (NLP) based AI solutions. This integration ensures that you don’t miss vital data, discoveries, and assertions that are only published in the full-text.
Blog Fueling Your AI & Machine Learning Projects with XML Content – Why Flexible Retrieval Options Are Crucial Learn why RightsDirect offers flexible retrieval methods to incorporate scientific articles into AI and machine learning initiatives.
Blog Top 3 Challenges When Using Scientific Articles in AI & Machine Learning Projects Despite the many benefits of text mining, researchers face a number of obstacles before they even get a chance to run queries against the body of scholarly literature. Here are some tips to overcome these challenges.
Blog 5 Considerations for Knowledge Managers Leveraging Scientific Literature for Text and Data Mining When consuming full-text content, there are many factors a knowledge manager should consider when trying to develop an optimal workflow that is suitable for their organization’s needs. Here are a few.
