Search engines process and catalog information they find in an index, a huge database of all the content they harvest and decide is good enough to serve up. Often words used in a search query leave ambiguity. Google seeks to narrow user choices by providing search filter options. Search engines have struggled with new search entries and vague search intent. This need is pushing the Semantic Web and Linked Data forward. It is useful as a means to improve search engines’ content comprehension, cataloging, and matching abilities to return better SERPs. By embracing this new approach, your content ideation processes will be more effective. To give you the most useful information, search algorithms look at many factors, including the words of your query, relevance and usability of pages, expertise of sources, and your location and settings. The weight applied to each factor varies depending on the nature of your query—for example, the freshness of the content plays a bigger role in answering queries about current news topics than it does about dictionary definitions. – Google