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What do the terms "synonym search" or "similarity search" mean?

Most search engines offer full text search, i.e. they can find documents that match the exact wording of the search query. This produces very limited search results; for example, if you search for "bicycle" only documents that contain the word "bicycle" are found, while documents that contain the word "bike," "pushbike," etc. are not retrieved. Synonym search, however, finds all of these related documents. Because it is cross-lingual, InfoCodex's synonym search goes even one step further. It finds not only all the documents with the related English words, but also tracks down documents that contain the words "Fahrrad," "bicicletta," "vélo," etc.

Instead of searching for documents which contain a number of keywords, similarity search finds documents that are similar in contents to a given query text. To find particular documents, none of the words in the query text have to be present, only the content of the document has to be similar. As a result of InfoCodex's cross-language support, documents in all supported languages (E, F, D, I, ES) are found as long as their content is similar to the query text.

In both cases, because of the cross-language content recognition and a well-founded similarity measure, the documents are ordered by their relevance to the query.


26. - 27.09.2016 Keynote at Big Data Analytics and Data Mining, London

14.03.16 WebPlatform Ares4 with InfoCodex presented at CeBIT 2016 Hannover

16.09.15 Presentation at SEMANTICS Vienna 2015 "Scientific Discovery by Machine ..." (Session 1.4)

02.06.2015 Presentation at Swiss Competitive Intelligence

26.02.13 Semantic Tech Turns up Biomarkers

13.02.13 Discovery of Novel Biomarkers (joint paper with Merck & Co)