FAQ – Frequently Asked Questions
On this site you find all the answers to the frequently asked question about the chemistry and full-text search in patent and non-patent literature with the ChemAnalyser.
If you don´t find the right questions and answers here, please feel free to contact us.
- Why does ChemAnalyser provide more hits?
Why does ChemAnalyser provide more hits?
With more than 5,000,000,000 (5 billion) chemical entities recognized and assigned to different chemical classes, ChemAnalyser is the most comprehensive data retrieval and data mining tool currently available.
- Which data sources are used by ChemAnalyser?
Which data sources are used by ChemAnalyser?
The huge data pool stems from fulltext patent literature of more than 32 countries, also machine translation into English, and bibliography of 101 patent offices – without class restrictions. Nonpatent literature sources used are for example PubMed, PubMed Central and Medline, as well as high quality sources on the word wide web.
- What chemical information is recognized?
What chemical information is recognized?
Our proprietary technology finds both non-structural and structural chemistry: chemical names, molecular structures and their relationships and roles in various areas. Full-text sources, whether in tables or different text sections, are detected accurately. The recognized search terms are classified and can be enriched with parents/children relations, synonyms, different spellings and language variants.
New classification and cognitive capabilities are updated quarterly and executed within the entire data pool. Customized userqueries in existing backfiles are automatically executed with any new update.
- What are the advantages of automatic versus human recognition?
What are the advantages of automatic versus human recognition?
Automatic recognition is capable of extracting the entire chemical content of any document, whereas human recognition can only capture a fraction. Human extraction is time-consuming and more expensive than automatic recognition. Automatic recognition uses daily and quarterly routines for regular updates to add and extent information and new classifications.
- Why is ChemAnalyser easy- to-use and fast?
Why is ChemAnalyser easy- to-use and fast?
Our easy-to-use proprietary technology understands the meaning (semantic) of entered search terms and phrases and automatically displays related domains in an easy-to-use dropdown menu.
By choosing the knowledge domain of your interest your search is focused on desired information, excluding unimportant data sources. Results are are displayed and rank ordered according to your specific needs - most important topical documents will emerge on the top.
- How knows ChemAnalyser what I am looking for?
How knows ChemAnalyser what I am looking for?
We call it „Cognitive Search“. Entered terms or chemical structures are used to facilitate further entries through automatic completion of search fragments.
The system suggests words or phrases as well as ontologies – chemical classes – which are necessary in subsequent semantic text analyses. Homonyms like „grain“ can stand for grain size distribution in the domain material science or for cereal grain in the domain nutrition – although the spelling is identical. Semantic text analysis uses the choosen domain, e.g. nutrition for grain, to prevent hits in material science. The freely selectable inclusion of parents, synonyms, and different languages can improve your hits even further.
Get more relevant scientific data, make better decisions, and simplify the often tedious search procedure!