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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Feb</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>More than the Sum of its Parts: CONTENTUS - A Semantic Multimodal Search User Interface</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>J. Waitelonis</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>J. Osterhoff</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>H. Sack</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Author Keywords Semantic Search</institution>
          ,
          <addr-line>Multimedia Retrieval, Search Interfaces</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Hasso-Plattner-Institute Prof.-Dr.-Helmert-Str.</institution>
          <addr-line>2-3, 14482 Potsdam</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2011</year>
      </pub-date>
      <volume>13</volume>
      <issue>2011</issue>
      <abstract>
        <p>This paper presents the semantic search engine CONTENTUS [7] and its user interface, a multimedia retrieval system developed in the context of the German research project THESEUS1. This interface uses content-based suggestions and a multi-modal presentation of search results to support semantic search. In addition, the system deploys a combination of a facetted browsing and breadcrumb-based navigation; a time-line enables time based filtering of the search results and the system suggests related search results according to the user's preferences. Finally, CONTENTUS has become more than the sum of its parts. Its unique feature combination facilitates search to become a more efficient and overall more pleasant user experience.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        INTRODUCTION
According to ComScore the total U.S. Internet audience
engaged in more than 5.2 billion video viewing sessions
during September 20102 alone and the demand is still growing.
The immense presence of multimedia in the WWW requires
technologies for managing, organizing, and searching
multimedia content in an efficient way. Within WWW search
engines, the tremendous diversity of multimedia data affects
1CONTENTUS is an application scenario of THESEUS, supported
by the Federal Ministry of Economics and Technology on the basis
of a decision by the German Bundestag.
2http://www.comscore.com/Press Events/Press Releases/2010/9/
Video Makes it Big on the Small Screen in Europe
the retrieval and search process in every part. New media
analysis and retrieval methods produce metadata, which is
not necessarily textual data anymore, as e.g. color features
of an image. Image and video search is evolving into a more
and more high level and fine granular multimedia retrieval.
New metrics of similarity have to be applied to adapt the
search result ranking. New user interfaces are needed to
enable query formulation and intelligent visualization of search
results. Todays search engines are not only focussed on
finding keywords in documents anymore. Moreover their main
goal has shifted to achieve a satisfying search experience for
the user. E. g. personalization enables to adapt the search
engine characteristics to the user’s behavior and personal
preferences. Semantic search technology promises more
accurate and complete search results. Ontologies and semantic
data repositories, as e.g., Linked Open Data [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] enable to
incorporate external resources into the search process to satisfy
the user’s information needs and to enable a new more
comprehensive search experience. Bringing together multimedia
and semantic search applications bears new challenges in
visualizing search results and facilitating navigation. In
combination with semantic technologies, searching multimedia
on-line in the WWW or in closed repositories, is subject of a
paradigm shift – the route with the user’s experience is more
important than the original goal of fact finding.
      </p>
      <p>While taking all these aspects into consideration, this paper
presents a web based graphical user interface (GUI) for the
multimodal semantic search engine CONTENTUS. The
objective of the interface design was not to extend the research
on a single aspect of current approaches in semantic
multimedia retrieval, but to create an interface whose strength
lays in exploiting synergies by combining state-of-the-art
semantic and multimedia technologies with interface design
approaches.</p>
      <p>The paper is structured as follows: In section 2 we describe
related work and introduce the relevant technologies and
paradigms. Section 3 deals with the realization of the user
interface including design aspects. Then, section 4 presents
and discusses different show cases. Finally, section 5
concludes the paper with a short discussion of achieved results
and an outlook on future work.</p>
      <p>
        DESIGN ASPECTS AND RELATED SYSTEMS
Germany’s 30.000 libraries, museums and archives contain
an incredible wealth of knowledge in the form of millions
of books, images, tapes and films. Researchers involved in
CONTENTUS are exploring how these cultural assets can
be made available to as many people as possible and be
preserved for future generations. The CONTENTUS search
engine demonstrates how semantic technologies and interface
design can be deployed in concert to facilitate a better and
more livelier search experience within large virtual
collections of cultural heritage domain assets. Fig. 1 illustrates
the complex processing chain implemented by the
CONTENTUS framework [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. After digitizing all types of
media assets such as books, newspaper, images, music/audio,
and videos, complex workflows including media
optimization, content analysis, and semantic metadata generation
provide a highly heterogenous collection of semantically
annotated data. This comprises also automatically generated
transcripts from speech, optical character recognition, or the
extraction of semantic entities such as persons, places, and
events. The main challenge of the user interface is to harness
this heterogeneity of multimedia and semantic metadata in a
consistent, clear, and meaningful way [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ].
      </p>
      <p>
        Another already existing system trying to meet these
requirements is the the MultimediaN E-Culture Demonstrator3. It
offers access to virtual cultural heritage collections based on
semantic technologies[
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. MultimediaN maps painters and
their oeuvre to a time-line to visualize historical references.
Furthermore, search results are clustered based on the
distance in the RDF graph between corresponding instances
of the given search terms [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. The ‘Europeana’ project4
supports searching for text, images, video, and sound in a
tremendous collection of paintings, music, films, and books
from Europe’s galleries and archives. A defaulted
multimodal view shows text, images, videos and sounds within
a single result page. With simple facet filtering the results
can be refined, but a distinct selection on persons, locations,
events, or other semantic entities is not possible.
‘CultureSampo’ is a system for creating a collective semantic
memory of the cultural heritage of a nation. It provides
various interfaces for faceted semantic recommendations,
organizing places, people, and relations from a collaboratively
generated ontology [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. In contrast, the CONTENTUS
ap
      </p>
    </sec>
    <sec id="sec-2">
      <title>3http://e-culture.multimedian.nl/demo/search 4http://www.europeana.eu</title>
      <p>
        proach is based on the semantic information, that was
automatically extracted from historical documents and it
provides one unified interface. The ‘Parallax’ interface5 of the
Freebase project uses a combination of faceted search, fact
views, time-lines, and geo-maps guiding the users to explore
a wide range of heterogeneous semantic data. But, in
contrast to the CONTENTUS system, the Freebase interface is
based on manually and collaboratively composed semantic
datasets from the Freebase repository and does not include
automatically extracted information from multimedia
content. The CONTENTUS user interface is not explicitly
designed to enable exploratory search, such as established in
the video search engine yovisto [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. In yovisto, exploratory
search enables to broaden the search scope by expanding the
search with related information.
      </p>
      <p>Hence, the state-of-the-art systems provide either multimodal
or semantic search. The objective of the CONTENTUS user
interface is to melt together these paradigms by improving
search results and navigation while preserving usability.
Therefore, the interface provides not only information found
in documents, but also information about documents and
resources, its comprising entities, and their in-between
relationships. For example, an instance of a person can arise as
an author of a document, but also as a subject a document
describes. This subtlety enables a more specific search and
solidifies a new standard in semantic multimedia search.
The next section describes the CONTENTUS user interface
in detail and points out its new features and their purpose.
THE CONTENTUS USER INTERFACE
Considering Fig. 2, the layout of the CONTENTUS user
interface is arranged in a Search Area (1) and a Result Area6.
The Search Area spreads over the whole width of the layout.
The Result Area below is divided into three columns. The
left column (2) hosts the functions to organize and filter, the
right column (3) the functions to refine and filter the search
query. The main column (4) in the middle shows the actual
search results. The Search Area contains the Search Field
and the Search Path. The Search Field is the central element
and is located in the upper left area. When entering a new
search term, achieved results are listed in the main column.</p>
    </sec>
    <sec id="sec-3">
      <title>5http://www.freebase.com/labs/parallax/</title>
      <p>6Search results have been modified to English language for better
readability. Actually, the search engine content is in German.</p>
      <p>Search Results
The search interface combines different media and entity
types within one result page. The types comprise books,
newspaper-articles, videos, images, audio, locations, and
persons. Thereby, locations and persons are entities and not
documents. All types can be visually distinguished by an
individual layout and icon set. For example, search results
for locations reveal a geo-map, and an image preview is
presented in video image results. The relevance ranking of the
search result is supported by different sizes of the single
result items. The more relevant an item is, the more space
is provided to show related information. This enables to
expose the most relevant results in more detail and thus provide
more information to the user. Every search result is featured
with a title and specific information depending on its media
or entity type. For example, text results and results based on
transcripts (e.g. video, audio) are presented with highlighted
text snippets and are underpinned with semantic entities
extracted form the documents content (e.g. as shown in the
first result item).</p>
      <p>Navigation
The design of the search process outweighs the design of the
single page and the former page based navigation on the web
changes by the means of Ajax to a more coherent user
experience. The interface makes use of this technologies with the
result that elements add to and change on the screen with the
aim to make the separation between entering a search and
examining results on different pages disappear.</p>
      <p>Timeline Filter
To filter the search results, a horizontal slider has been placed
in the upper area of the right column. The handles of the
slider select the starting and ending date of search results.
An intuitive use of a time-line based navigation is difficult
to realize because usually there are too many different dates
available for different contexts. In the case of a person this
can be the date of birth, the date of death, or any other event
related to that person. In the case of a document it is not clear
if the date of production or dates related to the documents’
content should be depicted on the time-line. The time-line
in the CONTENTUS user interface exclusively makes use
of the publication dates. In comparison to MultimediaN the
CONTENTUS user interface does not use plenty of room
for its time-line. MultimediaN has more space to show dates
and therefore lets its user render more complex time-based
operations. The time-line of CONTENTUS plays a
significant role in the interplay of the interface elements, yet it does
not play the lead. It has to share the space with other equally
important elements.</p>
      <p>Facet Filter
The list of facets is located below the time-line. The facets
used by CONTENTUS are extracted entities grounded to
Wikipedia articles. The location facet includes various places,
sites, cities and countries. The person facet lists persons that
are mentioned in the various media items. As opposed to
this, the Contributor facet lists people that have been
engaged in the media document creation process, as e.g.,
authors of articles and books, directors of videos, musicians or
composers. Facets for music style is derived from the meta
data attached to audio files. Publication years are listed in
the publication year facet. Various accumulations, political
parties and companies are listed in the organization facet.
The concept facet collects subjects and notions not fitting
into the other facets.</p>
      <p>Breadcrumbs
Selected facets are collected as boxes to the right end of the
search path (1). As a result the user is always aware of her
current refinements by viewing an ordered list of activated
filters. After several iterations the search path usually
contains a number of filter boxes. Since the users should be
able to refine their search, the filter boxes in the search path
contain buttons to deactivate and to remove items from the
search path and thus to change the results quickly.
History
The search history enables the user to return to any possible
step of the preceding search. Within a list the user can
access recent actions sorted by date in ascending order. Icons
indicate, if a new search term was entered, a filter was set or
unset, or if a detail has been accessed.</p>
      <p>
        Collections
The user can store and collect relevant search result items
in his own collection simply by clicking the item’s collect
button. A preview of this collection is always shown on the
lower end of the left column. This presence collection of
media items is used to generate a user profile. The user can
adapt the profile according to her preferences. The user
profile can be utilized to personalize the search results.
Media and Entity Details
By clicking on an item within the search results, the media
or entity detail page displays all relevant information about
this item. An example for a newspaper article is shown in
Fig. 3. The article viewer (left) displays the original scanned
document page. All detected semantic entities within the
page are highlighted. The color key encodes the entities
class (e.g. red for locations, purple for persons, etc.). On the
right, all pages of the underlying newspaper can be selected.
Below, the article text extracted by OCR is provided and all
related entities extracted from the text are registered. By
clicking on an entity, its detail page appears (not depicted)
and provides the further information. On the entity detail
page, relationships to other resources and entities are
exposed in a relationship graph and allow further navigation.
The relationships are derived from the PND [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] provided by
DNB. Furthermore, entities are mapped to DBpedia [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] to
expose related information. The depicted article detail page
(cf. Fig. 3) is just an example of visualizing media types in
CONTENTUS. For video and audio items a media player, a
transcript, and a temporal segmentation are displayed on the
detail page to enable quick navigation within the media.
Demonstration Screencast
Because of copyright protection on its content, a public live
demo of CONTENTUS7 can only be provided at the
conference. Anyway, a screencast demonstrates the user interface
in all details (c.f. http://www.yovisto.com/labs/vissw2011).
The following section describes some of the scenarios shown
in the screencast.
      </p>
      <p>SEARCH SCENARIOS AND DEMONSTRATION
This section demonstrates the capabilities of the
CONTENTUS user interface by means of various search scenarios.
Disambiguation
The example starts with querying CONTENTUS for the
current German chancellor. While typing the first name
‘Angela’ a drop down box with a disambiguation of the term
comes up. In this case the user selects the suggested term
‘Angela Merkel’ and several results of various media types
dealing with the German Bundeskanzler are displayed. To
make sure that the interface only lists documents related to
‘Angela Merkel’ as a person, the user now can select the
person facet. After the selection only Angela Merkel and
ministers appointed to her cabinet are shown in the results.
Disambiguating Roles of Persons
A query for ‘Hanns Eisler”, a famous German composer and
companion of playwright Bertolt Brecht, lists documents that
contain the search terms ‘Hanns Eisler”, but lets the user
distinguish between Hanns Eisler as detected entity, as author,
and as topic in the media.</p>
      <p>Persons and Exploratory Search
When the user toggles the facet box named ‘Hanns Eisler’
among the bread-crumbs, again more search results are shown
and Bertolt Brecht is listed as a related person to Hanns
Eisler in the person facet on the right hand’s side. The user
now clicks on ‘Bertolt Brecht’ to get documents related to
the German author. The user now starts a new search and
enters ‘Bertolt Brecht’, confirms the suggestion and finds
Brecht’s entity page listed as first search result. She clicks
on it and finds relations derived from the underlaying
ontology. She selects Ernst Busch from the relationship Has
Professional Contact and is directed to Busch’s entity page.
There, she finds a graph depicting the relationships of Ernst
Bush. As e.g., she confirms the relation to Brecht and learns
that Busch was not only a musician, and singer, but also a
playwright and director.</p>
      <p>Video Search Example
This example assumes that a researcher wants to find
additional information for a report on the rescue of the Chilean
miners that took place in Oct. this year. Therefor she
requires footage of good quality showing similar events. She
has a vague idea that a similar rescuing took place in
Germany in the 1960s. She queries for ‘Bergleute’ (German for
‘miners”), limits the results by the means of the Timeline on
the right-hand side to the 1960s and now sees two videos,
one from November 7, 1963 and one from November 10,</p>
    </sec>
    <sec id="sec-4">
      <title>7http://mediaglobe.yovisto.com:8080/contentus/</title>
      <p>1963. The first video deals with the accident of the miners,
the second with their rescue.</p>
      <p>Pre-selections and Final Decisions
In an exploratory search many users first pick up some
candidates, continue their search and then make a final decision
among these pre-selections. The interface makes it easy to
select the findings in the Media Shelf collection. A click
on the icon on top of a result tile or or the detail page adds
the item to the this collection. A quick preview supports the
user’s decision-making procedure.</p>
      <p>CONCLUSION AND FUTURE WORK
When showing various media types on one result page,
special care has to be devoted to the feedback that lets the user
know why exactly the listed items have been presented. To
find an appropriate balance between the demand for details
on the one hand and ease of use on the other hand is
subject to further research on CONTENTEUS. Currently
CONTENTUS is a system for individual users. In future versions
we plan to expand the possibility to connect with friends and
to share results with them. Then, it will be possible to make
suggestions to the user not only by her personal profile but
also by the profiles of her friends.</p>
    </sec>
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