New Search Engine Lets Users Look For Relevant Results Faster

Credit:  Aalto University

 

Once initially queried, SciNet displays a range of keywords and topics in a topic radar. With the help of the directions on the radar, the engine displays how these topics are related to each other. The relevance of each keyword is displayed as its distance from the centre point of the radar – those more closely related are nearer to the centre, and those less relevant are farther away. The search engine also offers alternatives that are connected with the topic, but which the user might not have thought of querying. By moving words around the topic radar, users specify what information is most useful for them.

According to some estimate the digital universe such as data and documents is expected to grow by 2020 by a factor of 10. Tools that help us transform the time we spend in searching into discovering and understanding information will be increasingly important to enhance productivity and creativity. It is exciting to be addressing this problem in research that needs competencies from different disciplines as we uniquely combine at HIIT, states Professor Giulio Jacucci.

 

This video demonstrates our intelligent visual discovery engine working on top of over 60 million scientific publications. Our engine interactively combines human and machine intelligence, and it doubles user performance by helping users to make sense of information beyond search.

When people are uncertain about a topic, they are typically reluctant to reformulate the original query, even if they need to in order to find the right information. With the help of a keyword cloud, people can more quickly infer which of the search options they receive is more significant for them because they do not need to visit the pages offered by the search engine to find new search words and start again.

-It’s often hard for people to put what they are looking for into words. Their search needs often do not become more focused until they begin the actual search. The SciNet search engine solves these problems. It’s easier for people to recognise what information they want from the options offered by the SciNet search engine than it is to type it themselves, says the project’s coordinator, Tuukka Ruotsalo.

The SciNet search engine and the related user modelling were developed at the Helsinki Institute for Information Technology, HIIT, which is a joint research institute of Aalto University and the University of Helsinki in Finland. On the basis of HIIT’s research, the company Etsimo Ltd. was founded to commercialize the search engine, which concentrates on supporting complicated searches.

An article on SciNet and its related modeling solutions, “Interactive Intent Modeling: Information Discovery Beyond Search,” was recently published in the prominent computing and information technology journal, Communications of the ACM.  

 

A company, Etsimo Ltd. http://etsimo.com , has been founded to commercialize the search engine.