Empowered Search : Actonomy’s branded semantic search technology!
Actonomy’s empowered search is your solution to cumbersome search queries. To give a concrete example: if you are looking for a Java Developer in London, you can either type in: “Java Developer” AND “London”, not even knowing if this will lead to good results.
Or you can just type in “Java Developer London”, thus avoiding complex and less transparent Boolean searches since Actonomy will analyse your query as follows:
• identify ‘java developer’ as a main jobtitle or indication of experience;
• identify ‘java’ as preferred skill or experience;
• identify that candidates preferably live in ‘London’
With this information, Actonomy will present you with candidates that are ranked:
• ‘Java developers’ living in ‘London’ on top of your list;
• ‘Java developers’ living close to ‘London’ slightly lower in the list of results;
• followed by people with ‘Java’ experience and living in ‘London’ or close to ‘London’. Preferably other ‘’software developers’, provided they have ‘java’ experience.
The result: the human way of analysing results or browsing through relevant candidates. A single query that will give you the results you need. No more re-querying, no more waste of time!
How does it work?
The Actonomy knowledge base knows how recruiters search. It analyses the criteria given and splits it in relevant words or concepts. These are used to execute several actions in the background, just as a recruiter would do with standard search solutions.
All this is done in the background. The system will provide you with meaningful results much faster than you could yourself.
Finally, a solution that makes Boolean searches obsolete!
What is Fuzzy Searching?
Fuzzy searching occurs when the search software matches almost — but not quite — what you typed in. Normal search systems take you literally: enter ‘Excel’ and it will return matches for ‘Excel’. But people make mistakes: both recruiters and candidates. What about variants such as ‘MS Excel’ or ‘Excell’? What if you search for ‘Acount Manager’ by accident instead of ‘Account Manager’? What then?
Fuzzy searching takes care of it. Actonomy’s fuzzy searching technology is smart enough to figure out what you (or the candidate) meant rather than what was typed. Spelling errors, dropped letters, variant ways of writing (e.g. British vs. American spelling differences): fuzzy searching takes them into account and returns the results you were actually looking for!
Conceptual searching allows users to search for actual concepts in a document, rather than for simple words. A ‘concept’ in this sense refers to a meaningful combination of words.
With traditional Boolean searches, words have no meaning and no conceptual link with other words in the query. A ‘Java developer’ is a combination of two words, but the combination itself has no inherent meaning. With Actonomy, the concept ‘Java developer’ is understood as a function. Further, it is understood as a ‘software developer’ with experience in the ‘Java’ programming language. This allows the system to search not only for the function ‘Java developer’ itself, but also related functions such as ‘software developer’ or ‘Java programmer’.
Actonomy doesn’t search for just words, but for concepts and parts of concepts. Thanks to our in-depth ontology database, all concepts are categorized and understood in the context in which they are used. Concept matching understands the relations that words have with one another, and uses all words in a search to select appropriate concepts and find the best results! Finally, semantic search, semantic matching that works!