Publication at Faculty of Mathematics and Physics |
2011
Abstract
Semantic web search engines can take advantage of machine- understandable data published on theWeb to provide more precise search results and advanced query capabilities. Semantic data embedded in web documents (serialized as RDFa or microformats, for example) can be used in conjunction with a semantic web search engine to provide a better web navigation experience.
We present Semantic Navigator,1 a Mozilla Firefox extension than brings advantages of semantic search to ordinary users. Semantic Navigator detects semantic data in web documents and with the aid of a semantic web search engine, it enables users to easily navigate to related documents containing information about a selected resource or about one of its properties.