Semantic Search Clause Samples

Semantic Search. ‌ The goal of Semantic Search [255] is to augment and improve the search process by leveraging XML and RDF data from semantic web to produce highly relevant results. The key distinction between semantic search and traditional search is that semantic search is based on semantics, while traditional one mainly focuses on keywords mapping. ▇▇▇▇ et al. [230] distinguished two major kinds of search: navigation and research. In navigational search, the user is using the search engine as a navigation tool to navigate to a particular intended document. Semantic Search is not applicable to navigational searches. In research search, the user provides the search engine with a phrase which is intended to denote an object about which the user is trying to gather. There is no particular document which the user knows explicitly about that s/he is trying to get to. Rather, the user is trying to locate a number of documents which together will give him/her the information s/he is trying to find Semantic Search lends itself well here. ▇▇▇▇▇▇▇▇▇▇ et al. [256] provide a survey that lists semantic search systems and identifies LiquidPub/2009/D1.1/v2.0 October 5, 2009 15 other uses of semantics in the search process. Besides, W3C maintains a list of Semantic Web Tools [257] and various others exists, such as the Developers Guide to Semantic Web Toolkits and the Comprehensive Listing of Semantic Web and Related Tools by ▇▇▇▇▇▇▇ ▇. ▇▇▇▇▇▇▇▇▇. These lists support the semantic web community (mainly developers) by providing an overview of available tools. We introduce here several well-known online semantic search engines specialized in OWL and/or RDF content. Falcon21 is a keyword-based search engine for the Semantic Web, equipped with browsing capability. Falcons provides keyword-based search for URIs identifying objects, concepts (classes and properties), and documents on the Semantic Web. Falcons provides a summary for each entity (object, class, property), integrated from all over the Semantic Web [316, 116, 117]. It also attempts to classify a search phrase by type of search, e.g. Person, Document. Sindice22 is a lookup index for Semantic Web documents. Sindice indexes the Semantic Web and can tell users which sources mention a resource URI, IFP, or keyword. ▇▇▇▇▇▇▇ does not answer triple queries. Users can use Sindice in their application to find relevant RDF sources. Over 10 billion pieces of reusable information has already been indexed across 100 million web pages which emb...