Semantic Search Strengthened with Innovative Linguistic Analysis
July 16, 2013
In Search Engine Journal we came across a recent article outlining two important topics in the search arena today, “The Difference Between Semantic Search and Semantic Web.” The post presents definitions for each and delves into the numerous distinctions between these terms.
Pulling from Cambridge Semantics, the article asserts that the Semantic Web is a set of technologies that store and query information, usually numbers and dates. Textual data is not typically stored in large quantities.
We thought their simple explanation of semantic search was a good starting point for those learning about the technology:
Semantic Search is the process of typing something into a search engine and getting more results than just those that feature the exact keyword you typed into the search box. Semantic search will take into account the context and meaning of your search terms. It’s about understanding the assumptions that the searcher is making when typing in that search query.
We also appreciate that the article refers to semantic search as a concept that is not new, but is currently gaining much traction. Essentially semantic search mirrors the process people use when reading; text is analyzed and context is developed in order for a rich understanding to be developed. Many innovative technologies are emerging out of this concept. For example, solutions from Expert System offer precise analytics using their core semantic search technologies. Their linguistic analysis capabilities enhance the extraction and application of data in the natural language interface.
Megan Feil, July 16, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search
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