An Enhanced Indexing And Ranking Technique On The Semantic WebWith the fast growth of the Internet, more and more information is available on the Web. The Semantic Web has many features which cannot be handled by using the traditional search engines. It extracts metadata for each discovered Web documents in RDF or OWL formats, and computes relations between documents. We proposed a hybrid indexing and ranking technique for the Semantic Web which finds relevant documents and computes the similarity among a set of documents. First, it returns with the most related document from the repository of Semantic Web Documents (SWDs) by using a modified version of the ObjectRank technique. Then, it creates a sub-graph for the most related SWDs. Finally, It returns the hubs and authorities of these document by using the HITS algorithm. Our technique increases the quality of the results and decreases the execution time of processing the user's query.Ahmed Tolba, Nabila Eladawi, Mohammed Elmogy
Home | OpenCalaisThe Calais Web Service ingests unstructured text and returns Resource Description Framework formatted results identifying entities, facts and events within the text. The service appears to be based on technology acquired when Reuters purchased ClearForest in 2007.
wiki.dbpedia.org : spotlightDBpedia Spotlight is a tool for annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. DBpedia Spotlight performs named entity extraction, including entity detection and Name Resolution (a.k.a. disambiguation). It can also be used for building your solution for Named Entity Recognition, amongst other information extraction tasks.
BeyondTrees and the New York Times: Using Lucene to build a time machineImagine you can see 160 years of history, all on one screen. You can zoom and pan, you can look at a particular day, you can even do a search. And when you do, the results come up not as a list, but as a heat map that shows where in history that topic appears, and how often.