Google may be dominant in the Battle of the search engines, but its constant evolution algorithm Page Rank and simple list of results is not always the desired information is obtained - especially when you're not sure exactly what keywords to use. Now researchers at the Helsinki Institute for Information Technology (HIIT) have developed a new alternative called SciNet using information visualization to help dig through the related terms in narrowing down a search. Its creators claim that outperforms conventional user interfaces search in the search for information in an academic database.
Finnish researchers have developed a new search engine that outperforms current and helps people search more efficiently.
Developed at the Helsinki Institute for Information Technology HIIT, the search engine SciNet is different because it changes Internet searches in reconnaissance, showing keywords related to the user's search on the radar issue.
People who use SciNet can get faster relevant and different results, especially when they know exactly what they are looking for or how to formulate a query to find it.
It is often difficult for people to put what they are searching for.
Your search needs to focus more often until they begin the actual search.
"The search engine SciNet solves these problems. It's easier for people to recognize what information they want from the options offered by the search engine SciNet than it is to write for themselves," said project coordinator Tuukka Ruotsalo.
Once initially consulted SciNet shows a series of keywords and topics in radar issue.
With the help of the instructions on the radar, engine shows how these issues are interrelated.
The relevance of each keyword is shown as the distance from the center point of the radar - the most closely related they are closer to the center, and are far less relevant.
The search engine also offers alternatives that are connected with the subject, but the user might not have thought in the query.
By moving words around the radar issue, users specify what information is most useful to them.
The article was published in Communications of the ACM.
Finnish researchers have developed a new search engine that outperforms current and helps people search more efficiently.
Developed at the Helsinki Institute for Information Technology HIIT, the search engine SciNet is different because it changes Internet searches in reconnaissance, showing keywords related to the user's search on the radar issue.
People who use SciNet can get faster relevant and different results, especially when they know exactly what they are looking for or how to formulate a query to find it.
It is often difficult for people to put what they are searching for.
Your search needs to focus more often until they begin the actual search.
"The search engine SciNet solves these problems. It's easier for people to recognize what information they want from the options offered by the search engine SciNet than it is to write for themselves," said project coordinator Tuukka Ruotsalo.
Once initially consulted SciNet shows a series of keywords and topics in radar issue.
With the help of the instructions on the radar, engine shows how these issues are interrelated.
The relevance of each keyword is shown as the distance from the center point of the radar - the most closely related they are closer to the center, and are far less relevant.
The search engine also offers alternatives that are connected with the subject, but the user might not have thought in the query.
By moving words around the radar issue, users specify what information is most useful to them.
The article was published in Communications of the ACM.
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