The success of today's search engines is due to easy-to-use interfaces and to the large number of indexed resources. But filtering among a million of hits and distinguishing the relevant information are not tricky tasks and the user give up after a few minutes of exhaustive and unfruitful search.

A semantic search engine

• manages the intrinsic ambiguity of resources whose content, otherwise, would not be processable by machines.
• provides more precise results with a better recall and the correct level of granularity.
• enables the user to find what he is looking for.

Squiggle is the semantic search solution conceived, designed and implemented by CEFRIEL. Squiggle is able to handle information ambiguity, both at domain knowledge level (by means of conceptual models of the domain) and at linguistic level (going beyond syntactic matching and discriminating among alternate words, synonyms, etc.).
Squiggle is based on the employment of smart machines, which can extract information from resources (e.g., by natural language processing or image-video processing), and smart data, which makes content easier to find, access and process by machines.

Squiggle e lo sci

Try Squiggle for Ski to find images of athletes from the different disciplines of alpine skiing
If you search "Herminator", Squiggle will recognize it to be a nickname of Or try with "Giorgio" and "slalom": Squiggle will propose you all the possible meanings of your query; then, iselecting "Giorgio Rocca" and "Slalom", you will get all the images in which the Italian champion is involved in a slalom race. 

Do you want to search into your collection of mp3s? Try Squiggle for Music: submit the name of an artist, the title of a song or a music genre and the engine will find them for you. Search "fab four": Squiggle will understand that you are talking about the Beatles and will tell you to search also for band members like John Lennon and suggest you some possible related artists.