Abstract Generating profile films from the data presented in order ofsemantic web 3.0 presents a web application. For the construction of the filmsin order to generate semantic as the main source is the Linked Open Data, RDFserialization different. Uses techniques and semantic web technologies to useand visualization of these data. With the use of SPARQL achieved since datasetsintertwine different information based on several criteria. As the maindatasets to generate profiles of films are Linked Movie Data Base, DBpedia andFreebase.

Also can be used data through API – s various data from Google’s freeto use. In this seminar paper I want to explore that, why not create a pagelike that is IMDB for movies, but in the semantic web.JA1 KeywordsKeywords: WebSemantic, web 3.0, SPARQL Linked Movie Data Base, DBpedia.

          1.IntroductionIn this seminar paper clarify on web 3.0 orsemantic web in the future will have a wide use and a very high functionality.

With this issue deals EasyRDF is a PHP library that is designed to make easierthe use of RDF is written in PHP objects oriented. During execution of thequestionnaire constructs a graph in PHP objects which are then connected andput on the page.The ideaof this seminar paper is that why not create a basis for the movies that youcan find information about the film to ask from different sources and be a pagejust as IMDb (internet movie database) but it will be a little more differentbecause I will work though the questionnaire and through RDF.Aboutsome studies have I done taken some information about the film through RDF(Description Resource Framework) and SPARQL working both among themselves andwith the enabling disclosure about movies than what ask1?JA2 Structure Concept model of the web – Semantic was formed inearly 1960 by scientist Allan M. Collins, M.

Ross Quillian linguist andpsychologist Elizabeth F.Loftus in various publications. It ran untilTim Berners – Lee inventor of www (ang. Wold Wide Web) and director of the W3C(ang.

World Wide Web Consorituim) which oversees the development of standardsproposed in the semantic web.The Semantic Web is anextension of traditional web in the sense that the information containedimplicitly in natural language text on the Internet will be filled with itsclear semantics based on a formal representation of knowledge. Understandinginformation expressed in natural language can be accessed automated andinterpreted properly, the functioning of the semantic web is as in the figurebelow.          Figure 1 MainSemantic Web Components2. On the Internet there are manyfilms but most of them are on web 2.0 and how site with the largest and mostpopular films is IMDB (ang.

Internet Movie Database). But the semantic web asthere are not many movies that has the semantic web IMDB but this site is LMDB(ang. Linked Movie Data Base) and has about 85,620 movies in these films arealso actors of all that contains a movie. Besides films contained in this sitehas other links that provide information which has not LMDB for those moviesbut what he gets even from other websites that are related to those filmsv3.   Figure2 Description of Linked Moive Date Base 4.

 2.1 LinkedData Theidea of Linked Data is that it is younger than that of the semantic web, butsometimes it is easier to think about how they built the semantic web ideasbehind Linked Data. Linked Data is not a specification, but a set of bestpractices to ensure data infrastructure that makes it easier to share dataacross the web. Then you can use semantic web technologies such as RDFS, OWLand SPARQL to build applications around that data.However,to make the web a reality data is important to have large amount of data on theweb, in standard format, accessible and manageable by semantic web tools.Moreover, not only does the semantic web needs access to data, but therelationship between the data should be available to create a web of data. Thiscollection of interrelated web datasets can be referred to as Linked Data.Linked Data is the heart of the semantic web and above all in large-scaleintegration and reasoning on data on the web.

A typical case of a large dataset is LinkedDBpedia that essentially contains Wikipedia available in RDF. The importance ofDBpedia is not only that it includes data from Wikipedia but also that itincludes links to other data on the web as p.sh, in Geonames etc etc.

Byoffering these additional links (in terms of RDF triples) applications canutilize additional knowledge from other datasets when developing an applicationbased on the facts supplemented by several datasets5.     2.2Dbpedia DBpedia is a project that aims to publishstructured content of the information created as part of the Wikipedia. Thisstructured information is then made available to the WWW. DBpedia allows usersto run queries and relationships related settings Wikipedia resources,including links with other similar datasets. DBpedia is described by TimBerners – Lee as one of the most famous decentralized efforts Linked Data. Theproject was started by the people at the University of Berlin and theUniversity of Leipzig, in collaboration with OpenLink Software, and today wasdeveloped DBpedia and millions more information in all directions, is expectedto improve even more in the coming years.

  2.3 Linked Movie DataBase Moviesare very popular on the web, however, they are recognized as missing by the LODdatasets. It was held “Linked Movie Data Base” in order to:·        To provide ahigh quality source of data RDF (LinkedMDB.org) for movies.

·        Demonstrate thevalue of a vehicle in development (ODDLinker) to facilitate high-volume anddense interlinking RDF datasets. In this report we present an overview of theefforts for data triplets films exhibited in LinkedMDB.org.

Thiswebsite includes over 100,000 subjects including movies, actors, moviecharacters, director, producer, editor, writers, composers of music, film etcetc estimates. Database includes an additional 50,000 plus connections with LODdatasets over 250,000 web pages about movies.It is expected thatthe number of connections increases significantly during the years followingweeks. The current state of the LOD datasets has over two billion triples. Alsothere are several sources of information about the films obtained from IMDb,Freebase, DBpedia, OMDB, Stanford Movie Database and RottenTomatoes6.

      3.Result My results from the work and research that I havedone are: the web-based PHP 2.0 with SQL and through the API Key are all filmsin all areas and have a high functionality, and movies with Web 3.0 that I gotto study, there are many movies but still not to the point that be all, becausethere is a very high functionality due to the very high click comes to blockingof Imagine to do with my clicks on the web means has problems and is a mustdeveloping further. Not that it’s a failure, but the work is because we need todevelop further that when making inquiries or (ang. Query) not to come to theblocking of the web site you but to work without any problems. So far we BBCsites, Wikipedia and others that work with Semantic Web or Web 3.

0 through theRDF and SPARQL queries.     4.Conclusion The problem of movies online through web 3.0 issomewhat problematic because until now the movies are in web 2.

0, web 3.0 butfor now almost not possible because not have the speed like that are in the web2.0 functionality is weaker and comes to blocking the site. JA1Youhave changed the abstract and topic (from first your sent abstract).

The abstract is very confused and imprecise, sentencesare not synchronized so they did not construct a meaning. JA2Themeaning is terrible. It seems that is compiled by taking some parts fromdifferent sentences and are put to a sentence.

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