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Quantalyze: new online service for searching quantities in technical documents
Max.recall presents a search engine for context-aware searching of numeric ranges, temperatures, dosages and other quantities in text.
This new service uses cutting-edge semantic annotation techniques to identify, normalize and give meaning to numeric values and units in text, while taking their context into account. Once the documents have been processed, they can be searched via the quantalyze workbench which combines quantity search with powerful full-text search and filtering features based on the open source Lucene software and UIMA standards.
Searching for quantities in text implies that some major technical barriers are overcome: different representations of the same quantity, overlapping intervals, different unit systems and languages, different meanings of the value depending on the context. Quantalyze solves these challenges through an advanced standardization and annotation process.
The service is accessible online and can be customized for any particular industry domain or information context, from financial reports to technical documentation, chemical patents or medical literature. More information:
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Max.recall information systems offers consulting and development services for customized content analytics & search solutions, especially for Intelligent Content Analytics, Social Media and Sentiment Analysis and Vertical Search.
Max.recall has been founded in 2010 in Vienna, Austria by a team of highly skilled experts in the fields of information retrieval, machine learning and natural language processing. The team has more than 12 years of experience in R&D in the respective areas.