<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>PHAROS - Platform For Search of Audiovisual Resources Across Online Spaces</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Stefan Debald</string-name>
          <email>Stefan.Debald@fast.no</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Wolfgang Nejdl</string-name>
          <email>nejdl@l3s.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Francesco Saverio Nucci</string-name>
          <email>francesco.nucci@eng.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Raluca Paiu</string-name>
          <email>paiu@l3s.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Michel Plu</string-name>
          <email>michel.plu@orange-ft.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Stephan Debald is with Fast Search &amp; Transfer ASA (FAST)</institution>
          ,
          <addr-line>N-0120, Oslo</addr-line>
          ,
          <country country="NO">Norway</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>- As an old lighthouse (PHAROS in ancient Greek) provided a proper navigation tool for people to find their route when lost at sea, in the same way PHAROS will ensure the right way to navigate in the modern enormous information ocean. Index Terms- audiovisual search engines, federation, information retrieval.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>I. MOTIVATION</title>
      <p>Tand enterprises is multiplying and data is increasingly</p>
      <p>HE AMOUNT of data available on the web, in organizations
becoming audiovisual. Search has become the default way of
interacting with data and by 2008, 50% of applications are
predicted to include a search facility as a primary interface for
end users. The ever-increasing data complexity leads to the
necessity of a coherent approach to the growing variety of
audiovisual formats, standards and tools. Users find
themselves overwhelmed by the multitude of new audiovisual
search tools, while businesses are at loss for stable direction.
Digital data is the greatest value that many organizations
possess and the ability to use it, rather than just store it, will
be one of the most important aspects of strategy in the coming
decade. Access to digital data is the front window and the
operational backbone for most organizations. The growth of
data volume is rapidly shifting to audiovisual content, yet the
technologies that allow processing and retrieval of this content
are either mainly experimental, or only vaguely capable of
handling true queries and content.</p>
      <p>Audiovisual search is therefore one of the major challenges
for organizations and businesses today, and search-based
technologies which can provide contextually relevant,
integrated and scalable access to distributed and
heterogeneous collections of information is essential.</p>
    </sec>
    <sec id="sec-2">
      <title>II. PROJECT OBJECTIVES AND MISSION The PHAROS Integrated Project (IP), to be funded from 2007-2009, aims at developing an innovative audiovisual technology platform, which will enable consumers, businesses</title>
      <p>and organizations to unlock the values found in audiovisual
content, a platform that will take user and search requirements
as key design principles and which will be deeply integrated
with user and context technologies. The developed technology
will sustain itself in the future by enabling new players to
build on top of the platform. To achieve this ambitious task,
PHAROS mobilizes 13 strong technological players, research
institutions and user groups, all sharing common goals.</p>
      <p>The range of scientific innovations will be tied together and
consolidated with existing research through intelligent content
publication and subscription mechanisms, scalable, flexible
and open frameworks for content processing and search that
support the full range of content types, enabling them to be
deployed through the PHAROS platform. To guide this
process, PHAROS has defined 5 objectives that provide the
backbone for the organization of the work throughout the
project.</p>
      <p>Ob1. (Core Technologies) – Develop a scalable search
framework which lets users search, explore, discover and
analyze contextually-relevant data which can be
audiovisual, structured or unstructured in origin. A scalable
content refinement framework will be developed bringing
together multilingual transcription, contextual metadata
extraction and content-based audio-visual analysis to add
semantic meaning to audio-visual, structured data in a way
that prepares it for information retrieval.</p>
      <p>Ob2. (Context and Users Technologies) – Analyze, design
and develop the context and user technologies taking into
account personalization, trust and adaptability. This will
allow a social audio-visual interaction model to be
integrated into the search engine, rather than using a
traditional non-participatory information access model.
PHAROS will create user interaction models where live user
traffic continually improves the user experience via core
primitives such as social network analysis and TrustRank.</p>
      <p>Ob3. (PHAROS Platform) – Ensure the interoperability of
the Core Technologies and Context and User Technologies
(Ob1 and Ob2 above) in a Service-Oriented
Architecturebased application enablement environment that will enable
effective deployment of diverse information access
solutions incorporating audio-visual content sources.</p>
      <p>Ob4. (Showcase) – An innovative showcase, built on the
PHAROS Platform, will be used to gather user feedback and
validate the PHAROS approach with specific attention to the
innovation in PHAROS.</p>
      <p>Ob5. (Federation and Impact) – Define a suitable
sustainability model with an open, federating and aggregating
approach, guaranteeing the replicability of PHAROS results
in a multi-industry scenario.</p>
    </sec>
    <sec id="sec-3">
      <title>III. PROGRESS OVER STATE-OF-THE-ART</title>
      <p>To achieve these ambitious objectives, PHAROS will
extend the state-of-the-art in the areas of core search
technologies, as well as context and user technologies.</p>
      <p>
        Regarding core search technologies, both XML search and
content-based search are relevant. Previous work has
addressed representation and semantic interoperability [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], as
well as XML retrieval [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. Content based retrieval uses
features of multimedia objects to facilitate their retrieval. [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ],
[
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] focused exactly on this topic. However, emerging types
of search patterns require both XML and content-based search
to be integrated and made mature enough for industrial
exploitation. PHAROS will extend the state-of-the-art in this
area by developing a scalable search platform with advanced
query brokering to orchestrate audiovisual information access
combining pluggable content-based matching engines and
schema agnostic XML based search kernels.
      </p>
      <p>
        Context and user technologies have been tackled from
various points of view: social media [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ], [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], spam detection
and ranking [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ], [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] as well as security, trust and privacy [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ].
PHAROS will address all these aspects and more specifically
will focus on exploiting user actions and interactions in
personal and public spaces to provide advanced and
semantically rich recommendations and personalized ranking
algorithms. User and community profiles will enable extreme
precision for search, and will exploit all kinds of
usergenerated metadata. Advanced spam detection algorithms,
suitable for personalized ranking, will be also provided and
new lightweight forms of content protection will be
investigated.
      </p>
    </sec>
    <sec id="sec-4">
      <title>IV. THE PHAROS APPROACH</title>
      <p>PHAROS distinguishes itself from other audiovisual search
solutions by developing a platform which integrates content
refinement and content retrieval with user and context
technologies. The platform is distributed in nature, providing
the much-needed flexibility that enables a wide variety of
applications to be built on top of it. The platform allows user
and context models as well as content refinement, retrieval
and storage to be client or server-based, thus enabling
businesses in several verticals to diversify and provide
services in one or more of these areas instead of encouraging
single players to monopolize the market.</p>
      <p>The project is based on a five-layer structure defined to map
the general objectives into operational areas. The following
diagram depicts the overall structure of the PHAROS
implementation plan in terms of “streams” and references to
the work-plan activity.</p>
      <p>FIG. 1 Structure of PHAROS Implementation Plan
The research and technological development within
PHAROS can be described in terms of the work done in
Stream 1 (Core Technologies), Stream 2 (User and Context
Technologies) and Stream 3 (PHAROS Platform). These
streams provide the foundation on which Stream 4 (Showcase)
is built. Stream 5 (Management and Federation) ensures the
smooth running of the project and oversees its impact in the
outside scientific and business world.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <surname>Aichroth</surname>
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Puchta</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hasselbach</surname>
            <given-names>J. “Personalized</given-names>
          </string-name>
          <string-name>
            <surname>Previews</surname>
          </string-name>
          :
          <article-title>An Alternative Concept of Virtual Goods Marketing”</article-title>
          ,
          <source>Virtual Goods Conference</source>
          ,
          <year>2004</year>
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <surname>Aslam</surname>
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Montague</surname>
            <given-names>M.</given-names>
          </string-name>
          “
          <article-title>Models for Metasearch”</article-title>
          .
          <source>SIGIR</source>
          ,
          <year>2001</year>
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <surname>Bharat</surname>
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Henzinger</surname>
            <given-names>M. R.</given-names>
          </string-name>
          “
          <article-title>Improved algorithms for topic distillation in a hyperlinked environment”</article-title>
          ,
          <source>SIGIR</source>
          ,
          <year>1998</year>
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <surname>Carmel</surname>
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Maarek</surname>
            <given-names>Y. S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mandelbrod</surname>
            <given-names>M.</given-names>
          </string-name>
          , Mass Y.,
          <string-name>
            <surname>Soffer</surname>
            <given-names>A.</given-names>
          </string-name>
          “
          <article-title>Searching XML Documents via XML Fragments”</article-title>
          .
          <source>SIGIR</source>
          <year>2003</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <surname>Carvalho</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chirita</surname>
            <given-names>P. A.</given-names>
          </string-name>
          , Silva de Moura E.,
          <string-name>
            <surname>Calado</surname>
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nejdl</surname>
            <given-names>W.</given-names>
          </string-name>
          “
          <article-title>Site Level Noise Removal for Search Engines”</article-title>
          .
          <source>WWW</source>
          ,
          <year>2006</year>
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <surname>Dong</surname>
            <given-names>X.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Halevy</surname>
            <given-names>A.</given-names>
          </string-name>
          “
          <article-title>Malleable Schemas”</article-title>
          .
          <source>WebDB</source>
          ,
          <year>2005</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <surname>Ghita</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nejdl</surname>
            <given-names>W.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Paiu</surname>
            <given-names>R.</given-names>
          </string-name>
          “
          <article-title>Semantically Rich Recommendations in Social Networks for Sharing, Exchanging and Ranking Semantic Context”</article-title>
          .
          <source>ISWC 2005</source>
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Kakade</surname>
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Raghavan</surname>
            <given-names>P.</given-names>
          </string-name>
          “
          <article-title>Encoding XML in Vector Spaces”</article-title>
          .
          <source>ECIR</source>
          <year>2005</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <surname>Kumar</surname>
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Novak</surname>
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Raghavan</surname>
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Tomkins</surname>
            <given-names>A</given-names>
          </string-name>
          . “
          <article-title>On the bursty evolution of blogspace”</article-title>
          .
          <source>WWW</source>
          ,
          <year>2003</year>
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <surname>McDonald</surname>
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Smeaton</surname>
            <given-names>A.</given-names>
          </string-name>
          “
          <article-title>A Comparison of Score, Rank and Probability-based Fusion Methods for Video Shot Retrieval”</article-title>
          .
          <source>CIVR</source>
          ,
          <year>2005</year>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>