Generating profile films from the data presented in order of
semantic web 3.0 presents a web application. For the construction of the films
in order to generate semantic as the main source is the Linked Open Data, RDF
serialization different. Uses techniques and semantic web technologies to use
and visualization of these data. With the use of SPARQL achieved since datasets
intertwine different information based on several criteria. As the main
datasets to generate profiles of films are Linked Movie Data Base, DBpedia and
Freebase. Also can be used data through API – s various data from Google’s free
to use. In this seminar paper I want to explore that, why not create a page
like that is IMDB for movies, but in the semantic web.JA1
Semantic, web 3.0, SPARQL Linked Movie Data Base, DBpedia.
In this seminar paper clarify on web 3.0 or
semantic 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 easier
the use of RDF is written in PHP objects oriented. During execution of the
questionnaire constructs a graph in PHP objects which are then connected and
put on the page.
of this seminar paper is that why not create a basis for the movies that you
can find information about the film to ask from different sources and be a page
just as IMDb (internet movie database) but it will be a little more different
because I will work though the questionnaire and through RDF.
some studies have I done taken some information about the film through RDF
(Description Resource Framework) and SPARQL working both among themselves and
with the enabling disclosure about movies than what ask1?JA2
Concept model of the web – Semantic was formed in
early 1960 by scientist Allan M. Collins, M. Ross Quillian linguist and
psychologist Elizabeth F.Loftus in various publications. It ran until
Tim Berners – Lee inventor of www (ang. Wold Wide Web) and director of the W3C
(ang. World Wide Web Consorituim) which oversees the development of standards
proposed in the semantic web.
The Semantic Web is an
extension of traditional web in the sense that the information contained
implicitly in natural language text on the Internet will be filled with its
clear semantics based on a formal representation of knowledge. Understanding
information expressed in natural language can be accessed automated and
interpreted properly, the functioning of the semantic web is as in the figure
Figure 1 Main
Semantic Web Components2.
On the Internet there are many
films but most of them are on web 2.0 and how site with the largest and most
popular films is IMDB (ang. Internet Movie Database). But the semantic web as
there 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 are
also actors of all that contains a movie. Besides films contained in this site
has other links that provide information which has not LMDB for those movies
but what he gets even from other websites that are related to those filmsv3.
2 Description of Linked Moive Date Base 4.
idea of Linked Data is that it is younger than that of the semantic web, but
sometimes it is easier to think about how they built the semantic web ideas
behind Linked Data. Linked Data is not a specification, but a set of best
practices to ensure data infrastructure that makes it easier to share data
across the web. Then you can use semantic web technologies such as RDFS, OWL
and SPARQL to build applications around that data.
to make the web a reality data is important to have large amount of data on the
web, in standard format, accessible and manageable by semantic web tools.
Moreover, not only does the semantic web needs access to data, but the
relationship between the data should be available to create a web of data. This
collection 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-scale
integration and reasoning on data on the web.
A typical case of a large dataset is Linked
DBpedia that essentially contains Wikipedia available in RDF. The importance of
DBpedia is not only that it includes data from Wikipedia but also that it
includes links to other data on the web as p.sh, in Geonames etc etc. By
offering these additional links (in terms of RDF triples) applications can
utilize additional knowledge from other datasets when developing an application
based on the facts supplemented by several datasets5.
DBpedia is a project that aims to publish
structured content of the information created as part of the Wikipedia. This
structured information is then made available to the WWW. DBpedia allows users
to run queries and relationships related settings Wikipedia resources,
including links with other similar datasets. DBpedia is described by Tim
Berners – Lee as one of the most famous decentralized efforts Linked Data. The
project was started by the people at the University of Berlin and the
University of Leipzig, in collaboration with OpenLink Software, and today was
developed DBpedia and millions more information in all directions, is expected
to improve even more in the coming years.
2.3 Linked Movie Data
are very popular on the web, however, they are recognized as missing by the LOD
datasets. It was held “Linked Movie Data Base” in order to:
To provide a
high quality source of data RDF (LinkedMDB.org) for movies.
value of a vehicle in development (ODDLinker) to facilitate high-volume and
dense interlinking RDF datasets. In this report we present an overview of the
efforts for data triplets films exhibited in LinkedMDB.org.
website includes over 100,000 subjects including movies, actors, movie
characters, director, producer, editor, writers, composers of music, film etc
etc estimates. Database includes an additional 50,000 plus connections with LOD
datasets over 250,000 web pages about movies.
It is expected that
the number of connections increases significantly during the years following
weeks. The current state of the LOD datasets has over two billion triples. Also
there are several sources of information about the films obtained from IMDb,
Freebase, DBpedia, OMDB, Stanford Movie Database and RottenTomatoes6.
My results from the work and research that I have
done are: the web-based PHP 2.0 with SQL and through the API Key are all films
in all areas and have a high functionality, and movies with Web 3.0 that I got
to study, there are many movies but still not to the point that be all, because
there is a very high functionality due to the very high click comes to blocking
of Imagine to do with my clicks on the web means has problems and is a must
developing further. Not that it’s a failure, but the work is because we need to
develop further that when making inquiries or (ang. Query) not to come to the
blocking of the web site you but to work without any problems. So far we BBC
sites, Wikipedia and others that work with Semantic Web or Web 3.0 through the
RDF and SPARQL queries.
The problem of movies online through web 3.0 is
somewhat problematic because until now the movies are in web 2.0, web 3.0 but
for now almost not possible because not have the speed like that are in the web
2.0 functionality is weaker and comes to blocking the site.
have changed the abstract and topic (from first your sent abstract).
The abstract is very confused and imprecise, sentences
are not synchronized so they did not construct a meaning.
meaning is terrible. It seems that is compiled by taking some parts from
different sentences and are put to a sentence.