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Aplica?ii web semantice

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Title: Aplica?ii web semantice


1
Semantic Web Applications
Introduction Vlad Posea vladposea_at_yahoo.com
2
  • http//www.ted.com/talks/tim_berners_lee_on_the_ne
    xt_web.html

3
On the next web
  • Web 1.0 a way to reframe the way we use
    information
  • Overcome the need for systems to be interoperable
    in order for people to better access each others
    documents
  • gt TBL was frustrated ?
  • gt he built a system to overcome that
  • Great idea linking documents - hypertext

4
Which is the problem that still frustrates people
and TBL?
  • Turns out that there is still huge unlocked
    potential. There is still a huge frustration that
    people have because we haven't got data on the
    web as data.
  • Which is the difference between document and
    data?
  • On the web we have links between documents not
    between data sets

5
Web evolution
  • Web today
  • So, imagine that that link could have gone to
    virtually any document you could imagine.
  • Web of documents
  • Web tomorrow
  • but I want to think about a world where
    everybody has put data on the web and so
    virtually everything you can imagine is on the
    web. and then calling that linked data.
  • Web of data

6
how do we get to the next web?
  •  those things that start with http --we're using
    them not just for documents now,we're using them
    for things that the documents are about. 
  • Semantic web
  • URIs used to identify data (resources)
  • Web 1.0
  • URLs used to identify documents

7
url that identifies a data resource
relations
8
how do we get to the next web?
  • TBLs rules
  • All kinds of conceptual things, they have names
    now that start with HTTP.
  • I get important information back about the data
    Im looking up using a standard format
  • when I get back that information it's got
    relationships

9
How do we create the semantic web
  • write a program to take the data, extract it from
    Wikipedia, and put it into a blob of linked
    data on the web, which he called dbpedia.

10
(No Transcript)
11
How do we create the semantic web
  • write a program to take the data, extract it from
    Wikipedia, and put it into a blob of linked
    data on the web, which he called dbpedia.
  • American government data would be available on
    the Internet in accessible formats (englands
    data already is)

12
(No Transcript)
13
How do we create the semantic web
  • write a program to take the data, extract it from
    Wikipedia, and put it into a blob of linked
    data on the web, which he called dbpedia.
  • American government data would be available on
    the Internet in accessible formats (englands
    data already is)
  • data is about our lives. You just -- you log on
    to your social networking site, your favorite
    one, you say, "This is my friend." Bing!
    Relationship. Data. You say, "This photograph,
    it's about -- it depicts this person. "

14
(No Transcript)
15
How do we create the semantic data?
  • Extract data from web sites and publish it in
    semantic formats
  • When you develop a web site make sure the data is
    also available in semantic formats
  • Fetch semantic data from social web sites

16
What is it good for?
  • Answer questions based on relations between
    different data concepts
  • What proteins are involved in signal
    transduction and also related to pyramidal
    neurons?
  • All soccer players, who played as goalkeeper
    for a club that has a stadium with more than
    40.000 seats and who are born in a country with
    more than 10 million inhabitants (dbpedia
    example)
  • Query the web like you would query a database!

17
Web 2.0 Semantic Web
  • gt Social Semantic Web
  •  social semantic web is all about everybody doing
    their bit and it creates an incredible
    resource because everybody else does theirs. And
    that is what linked data is all about. It's about
    people doing their bit to produce a little bit,
    and it all connecting. 

18
What I want you to do
  • Create linked data and make it available on the
    web
  • Choose a domain that youre interested in
  • Make an ontology of the domain (linking it to
    existing ontologies)
  • Extract data from the web and create a semantic
    repository
  • Make the data available for search by other
    applications
  • Create a web application that uses the semantic
    data that you have

19
What others want you to do
  • http//challenge.semanticweb.org
  • Challenge at the biggest international conference
  • The requirements represent practically the
    guidelines for the development of the Semantic
    Web
  • Minimal requirements also needed for our
    project
  • Additional Desirable Features what you will
    actually need for a commercial product.

20
Minimal requirements
  • The application has to be an end-user application
  • The information sources used
  • should be under diverse ownership or control
  • should be heterogeneous (syntactically,
    structurally, and semantically)
  • should contain substantial quantities of real
    world data
  • The meaning of data has to play a central role.
  • Meaning must be represented using Semantic Web
    technologies.
  • Data must be manipulated/processed in interesting
    ways to derive useful information and
  • this semantic information processing has to play
    a central role in achieving things that
    alternative technologies cannot do as well, or at
    all

21
Additional Desirable Features
  • The application provides an attractive and
    functional Web interface (for human users)
  • The application should be scalable (in terms of
    the amount of data used and in terms of
    distributed components working together).
    Ideally, the application should use all data that
    is currently published on the Semantic Web.
  • Rigorous evaluations have taken place that
    demonstrate the benefits of semantic
    technologies, or validate the results obtained.
  • Novelty, in applying semantic technology to a
    domain or task that have not been considered
    before
  • Italicinteresting from the research point of
    view
  • Bold interesting from the commercial point of
    view

22
Additional Desirable Features
  • Functionality is different from or goes beyond
    pure information retrieval
  • The application has clear commercial potential
    and/or large existing user base
  • Contextual information is used for ratings or
    rankings
  • Multimedia documents are used in some way
  • There is a use of dynamic data (e.g. workflows),
    perhaps in combination with static information
  • The results should be as accurate as possible
    (e.g. use a ranking of results according to
    context)

23
Examples Semantic Web Challenge winners - 2010
  • NCBO Resource Index Ontology-Based Search and
    Mining of Biomedical Resources winner 2010
  • http//www.cs.vu.nl/pmika/swc/submissions/swc2010
    _submission_4.pdf
  • Uses ontologies on BioPortal to annotate
    resources with concepts from the ontologies
  • Semantics used in finding synonyms, autocomplete
    on search, identify hierarchies of concepts

24
Examples Semantic Web Challenge winners - 2010
  • Linking Open Government Data http//logd.tw.rpi.ed
    u/
  • http//www.cs.vu.nl/pmika/swc/submissions/swc2010
    _submission_16.pdf
  • The TWC LOGD Portal is a semantic web application
    dedicated to publishing Linked Data versions of
    OGD and sharing tools, services and expertise
    supporting an OGD ecosystem. It serves data users
    ranging from informed citizens, to domain
    experts, to developers consuming and creating
    novel applications enriched by government data.

25
Examples Semantic Web Challenge winners - 2010
  • shortipedia.org
  • http//www.cs.vu.nl/pmika/swc/submissions/swc2010
    _submission_18.pdf
  • Aggregating semantic data curating by volunteer
    users (just like wikipedia)

26
Examples Semantic Web Challenge winners - 2009
  • http//www.cs.vu.nl/pmika/swc/documents/TrialX-he
    althx-iswc09-challenge.pdf - matching patients
    with clinical trials based on patient records
  • http//www.cs.vu.nl/pmika/swc/documents/VisiNav-p
    aper.pdf Exploration of web datasets
  • http//www.cs.vu.nl/pmika/swc/documents/Sig.ma2
    0Live20views20on20the20web20of20data-sigma.p
    df Visualisation of the web of data

27
Examples Semantic Web Challenge winners - 2008
  • paggr.com creates mashups from semantic data
  • DBPediaMobile integrates DBPedia data with
    Google Maps
  • HealthFinland - single national entry-point for
    health information, health promotion and
    health-related news

28
Evolution of the domain
2008
2009
2010
Output data in semantic formats Aggregate data on
a small scale Visualize data Develop tools
Develop tools (visualisation) Aggregating data on
larger scale from a small number of sources
Aggregate data on a large scale Complex
applications that take advantage of all the
existing data and tools
Evolution from development of tools, small
applications, output of semantic data from a
single domain to complex applications aggregating
large number of data sources providing complex
services
29
Example
  • Domain Romanian Tourism
  • Ontology concepts Hotel, Resort, Activity, City,
    Camera,
  • Data sources tourism web sites
  • Semantic interogations
  • Hotel at least 2 stars where you can practice
    archery
  • Hostel in the Apuseni mountains with a place
    where the children can play
  • Hotel that the girlfriend would like)

30
Nume
Rating (nr stele)
Contact foafPerson
Facilita?i
31
How do you gain points
  • 5 points exam
  • 5 points project described in the previous
    slides

32
http//www.ted.com/talks/tim_berners_lee_the_year_
open_data_went_worldwide.html
33
References
  • http//www.scientificamerican.com/article.cfm?idt
    he-semantic-web
  • http//www.ted.com/talks/tim_berners_lee_on_the_ne
    xt_web.html
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