Romer Gregorio writes:
Semantic search is one of the term that often hear in search engine sphere nowadays. As the name suggest, semantic search is the way search engines improves the accuracy of a search by means of using not one but multiple resources to interpret the true intent of the searcher’s query. These multiple resources include user’s search history, location, query’s characteristics, and other factors that may further increase the relevance of results. A product of innovation and ever-changing environment of search engines, the semantic search was developed to further enhance the search experience of the user. It was ages ago when search engines display exact-match blue link results on SERPs. Nowadays, search engines are fast becoming a more intuitive “answer engines” that seems to know who the searcher is, and what the searcher wants. Tracing its origin, the concept of semantic search was originally deduced from semantic web, which is in its own nature, is built on ontologies, which is according to TechTarget, is the “ working model of entities and interactions in a particular domain of knowledge or practices. From this concept of the semantic web, search engines have been able to identify the semantic features of websites that can be considered to make relevant search results.