Semantic Search

Posted on August 18, 2014 at 10:06 am

Semantic search includes a data searching method where a search query has the goal of not only finding keywords, but determining the contextual meaning and intent of the words an individual is utilizing for search. Semantic search offers more meaningful search results by understanding and evaluating the search phrase(s) and discovering the most relevant results within a database, website or any additional data repository.

What is this effort good for?

By utilizing controlled vocabularies as a base of a company’s search system we introduce you to the semantic era of data management. These functions might simplify your day-to-day life soon:

Auto-complete: This system automatically completes a search query and recommends search terms which may be of interest to a user. With auto-complete a spelling error may be avoided and search time may be minimized. If a user forgot the proper spelling of a word, he’ll be supported using auto-complete to ‘recall’ the correct word.

Faceted search: Facets may be compared to dimensions of a search-room such as persons, places, time period, document types, subject, etc. With every mentioning of a facet the results list gets smaller and results display high precision.

Refining search/Moderated search: A user searches for ‘Enterprise Search’ and receives a multitude of results. Words that appear oftentimes in the results, are recommended to refine the search such as ‘Information Retrieval’ or ‘Sharepoint Enterprise Search’. The results may be restricted quickly and targeted search via several documents is probable.

Automatic search expansion: The function also referred to as query rewriting will enlarge a search query with associated words.

Similarity Search: For instance, a document was discovered and the system recommended similar documents from a repository or as one develops a document, some existing matching text fragments will be suggested. Similar to this, existing resources are utilized more effectively. The function is utilized for instance in knowledge management applications, as they identify similar ‘Lessons Learned’.

Search for contact persons/Person search: Modern-day search technologies may automatically extract individuals names from massive document repositories, or you might search: ‘Where was Mister Jones mentioned together with Mister Miller?’ Similar to this you may develop professional search engines which assist in identifying contact persons for certain topics inside your company accurately.

Tag Recommender/Tagging: Firstly, a document is assessed by a search engine for tags (generating automated keywords). These are recommended to a worker, and similar to this the tagging will remain high grade and simple. The search index is going to be strongly enriched mainly because matching words are indexed with one another with the document.

For more information on our semantic search services contact one of our friendly Web Design Empire representatives at (03) 8618 6874.