SciWalker and SciWalker Studio - chemistry focused semantic data extraction

SciWalker is a new chemistry focused search engine for life and material sciences. Ontology based classifications and context sensitive annotation and indexing allow to find more precisely documents and relevant data containing topics of your interest. More than 200 million full text documents, ranging from patents up to Grant applications, clinical trial documents or drug labels are updated on a regular basis. Additional features are chemistry search for compounds and reactions in documents and databases, knowledge inferencing and creating private document collections and alerts, data analytics, bulk downloads of search results, as well as programmatic API access create a next generation, modular toolkit for data scientists.SciWalker Studio brings ontology based annotations and relationship extraction capabilities to your personal computer. You can annotate and analyse your private, local document collections. A syntax rule based knowledge editor allows you to extract for example complex compound-property relationships of your interest, developing personalized data extraction rules that can be imported into SciWalker high performance processing. Results and knowledge N-tuples can be downloaded in RDF, CSV or XML formats to facilitate import into secondary data analytical tools like BigQuery and DataStudio.