![]() For example, the semantic tags must be located within a structure that “tells” the computer that it is a semantic tag and that it applies to a particular ontology, and then, the tags must appropriately define the meaning of the referenced information.Įfforts towards creating the Semantic Web strive to improve the quality of the results to more closely match the searcher's intention rather than merely matching the searcher's search terms. ![]() To accomplish this feat, these semantic tags are expected to conform to the structure of semantic tagging fundamentals. These semantic tags are intended to be “machine readable,” such as by web crawlers. The World Wide Web Consortium (W3C) for many years has proposed the adoption of semantic tagging to define the subject of web content with a goal of improving the quality/accuracy of search results. In all, webmasters make every effort to get their client's search result position higher, since this will increase the traffic and thus add to the value of the web site. Another approach to get higher positioning is to embed the body of documents with popular search terms, even though the terms may be unrelated to the meaning of the document. In an effort to balance the result positioning, search engine companies constantly modify their algorithms to counteract false signals. This practice (in part) has become known as Search Engine Optimization (SEO). There is no standardization for Meta Tags instead, webmasters make creative (and sometimes manipulative) Meta Tags to gain higher positioning in the search results. Meta tags are terms that a webmaster embeds in each document at the head section of the HTML for a given page. These indexes include information gathered from URLs, Hypertext Markup Language (HTML) title information, HTML Meta Tags, image names, accessibility tags, and the content itself of web pages. Search engines, such as Google, have indexed billions of web sites. The current method of search involves matching digital content to a searcher's entered search terms. Thus, knowledge stays partitioned by language barriers. Moreover, even if you know the right words in English, you may not find other language resources that may be relevant, such as Chinese documents on the subject topic. With modern search tools, you simply cannot search for something if you do not know the words to describe it. Lastly, individuals with limited vocabulary also will face great difficulties in making successful searches. In addition, individuals with physical or mental difficulties may find keyboarding even more difficult. For novice computer searchers, the lack of keyboarding skills will make searching more difficult and, at times, more frustrating. This assumes a degree of knowledge and typing skills. Most search engines receive user input in the form of keystrokes. The search tools then provide the user with a matching list of search results, which may include documents, links to web pages, or other data sources with contents that match the query string in some way. “equities”), and identify documents or text that match in the index. More advanced search tools may map text in the user's query string to other text, such as other forms of words (e.g., “running” vs. The search tool then uses a previously created index (e.g., created by crawling the web or indexing files on the user's computer system) to match terms or phrases in the query string with words stored in the index. A common user interface for search tools includes a text control in which a user enters a search query string (e.g., “strawberry festival”) and a button for initiating the search. Search has become a common way of finding information stored on the Internet, on a user's computer system, or on other storage resources (e.g., databases, file systems, and so forth). 31, 2009, each of which is hereby incorporated by reference. ![]() 61/238,679, entitled “SEMANTIC SEARCH SYSTEM,” and filed on Aug. 31, 2010, which claims the benefit of U.S. 12/873,167, entitled “CONSTRUCTION OF BOOLEAN SEARCH STRINGS FOR SEMANTIC SEARCH,” and filed on Aug. This application is a continuation of U.S. ![]()
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