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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Developing ontologies for legal multimedia applications</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Xavier Binefa</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ciro Gracia</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marius Monton</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jordi Carrabina</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Carlos Montero</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Javier Serrano</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mercedes Blázquez</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Richard Benjamins</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Emma Teodoro</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marta Poblet</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Pompeu Casanovas</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Digital Video Understanding Group</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Laboratory for HW/SW Prototypes</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Solutions (CEPHIS) UAB</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>ICREA Researcher at the Institute of Law and Technology</institution>
          ,
          <addr-line>Law Dpt., UAB</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Institute of Law and Technology</institution>
          ,
          <addr-line>Law Dpt., UAB</addr-line>
        </aff>
      </contrib-group>
      <fpage>87</fpage>
      <lpage>101</lpage>
      <kwd-group>
        <kwd>Semantic Search</kwd>
        <kwd>Ontology</kwd>
        <kwd>HW/SW Acceleration Platforms</kwd>
        <kwd>Reconfigurable Devices</kwd>
        <kwd>Speaker Diarization</kwd>
        <kwd>Video Segmentation</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>Search, retrieval, and management of multimedia contents are
challenging tasks for users and researchers alike. The development of efficient
systems to navigate through content has recently become an
important research topic. Since domains as parliaments, courts, ministries, or
security and military forces are producing enormous masses of video,
audio and text files, the requirement of a specific content management
solution have arisen naturally.</p>
      <p>The aim of E-Sentencias is to develop a software-hardware system for
the global management of the multimedia contents produced by Spanish
civil courts. The Civil Procedure Act of January 7th, 2000 (1/2000)
introduces the video recording of oral hearings. As a result, Spanish
civil courts are currently producing a massive number of DVDs which
have become part of the judicial file, together with suits, indictments,
injunctions, judgments and pieces of evidence. This audiovisual material
is used by lawyers, prosecutors and judges to prepare, if necessary,
appeals to superior courts. Nevertheless, there is no available system
at present to automatically annotate audiovisual contents within the
judicial domain. E-Sentencias proposes a meta-search engine to manage
text (legislation, jurisprudence, procedural documents, etc.), images,
graph materials, and audiovisual contents in a dynamic way that
combines algorithmic techniques with legal ontologies. Both automatic and
semiautomatic processes facilitate the exploitation of the stored
information by the users’ website. In this regard, e-Sentencias involves
technologies such as the Semantic Web, ontologies, NLP techniques,
audio-video segmentation, and IR. The ultimate goal is to obtain an
automatic classification of images and segments of the audiovisual records
that, coupled with textual semantics, allows the efficient navigation and
retrieval of judicial documents and additional legal sources.</p>
      <p>Section 2 below describes the current situation concerning the
audiovisual recording of civil cases in Spain. In Section 3 we offer an
overview of the steps followed towards the construction of a conceptual
structure to classify video segments and the development of legal
ontology applications. Sections 4 and 5 depict respectively the structure
and architecture of the video system prototype at the present stage of
research and, finally, we conclude by offering some expected results and
conclusions in sections 5 and 6.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Video Recording of Civil Procedures in Spain</title>
      <p>The provisions made by the 1/2000 Civil Procedure Act for the video
recording of civil proceedings in Spain do not include a homogeneous
protocol establishing how to obtain audiovisual records. Rather, and
since an ever growing number of Autonomous Governments in Spain
hold competencies on the organization of the judicial system there is
a plurality of standards, formats, and methods to produce audiovisual
records. As a result, analogical and digital standards coexist with
different recording formats. The support in which copies are provided to
legal professionals (i.e. to prepare an appeal) may also consist of either
VHS videotapes or CDs. And, finally, the procedures to store, classify,
and retrieve audiovisual records may vary even from court to court.</p>
      <p>As regards the basic typology of civil proceedings, the 1/2000 Act
sets two declarative processes: the ordinary proceeding and the verbal
proceeding. The main differences between the two lie in the value of the
case – more or less than Ä3000, respectively – and the legal object at
dispute.</p>
      <p>The steps of the process also vary depending on the specific
proceeding. On the one hand, the ordinary proceeding starts with a
separate, independent oral hearing called “audiencia previa” to resolve
pre-judiciary issues (documents, evidences to be accepted, etc.), while
verbal proceedings take place in the same judicial event. On the other
hand, in the ordinary proceeding the claim of the plaintiff is contested
in written terms, while in the verbal proceeding is replied orally in the
same act.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Conceptual structure and ontology legal applications</title>
      <p>One of the core objectives of e-Sentencias is to develop automatic
classification strategies to classify video segments. To do so, we have started
from scratch by transcribing a small set of oral hearings (corresponding
to fifteen civil cases). Textual transcriptions also mark the different
steps of the oral hearing and include a manual coding of legal concepts
(i.e. judgment, injunction, cause of necessity, deed, etc.) and legal
expressions (i.e. “with the permission of your Honor”. In addition, they
facilitate the coding of practical rules of procedure that are implicit in
the video sequences, such as the following piece of transcription shows:</p>
      <p>This is only a first level of textual and visual annotation of judicial
hearings, but it is also the basis to create specific annotation
templates at different levels (concepts, legal formulae, practical rules of
interaction, etc.) that facilitate the construction of different types of
ontologies.</p>
      <p>
        In practice the use of ontologies for different tasks and purposes
requires to consider the particular task as context for the ontology. The
reason is that ontologies are often not really designed independent of
the task at hand
        <xref ref-type="bibr" rid="ref15">(Haase et al. 2006)</xref>
        . In general, the context of use
has an impact on the way concepts are interpreted to support certain
functionalities. As some aspects of a domain are important in one
context but do not matter in another one, an uncontextualized ontology
does not necessarily represent the features needed for a particular use.
In order to solve this problem, we have to find ways to enable the
representation of different viewpoints that better reflect the actual needs
of the application at hand.
      </p>
      <p>When talking about viewpoints, we can distinguish two basic use cases:
In the first case, the aim is to provide means for maintaining and
integrating different existing viewpoints. In the second use case, one
may want to extract a certain viewpoint from an existing model that
best fits the requirements of an application.</p>
      <p>
        In many application domains (such as law) it is acknowledged that
the creation of a single universal ontology is neither possible nor
beneficial, because different tasks and viewpoints require different, often
incompatible conceptual choices. As a result, we need to support
situations where different parties commit to different viewpoints that
cannot be integrated by imposing a global ontology. This situation
demands for a weak notion of integration, in order to be able to exchange
information between the viewpoints
        <xref ref-type="bibr" rid="ref21">(Stuckenschmidt, 2006)</xref>
        .
Stuckenschmidt describes one of such examples from oncology. Oncology is a
complex domain where several specialties, e.g. chemotherapy, surgery,
and radiotherapy are involved in a sequence of treatment phases, each
representing a particular viewpoint.
      </p>
      <p>Law is also a complex domain, where several roles are involved
(judge, prosecutor, defendant . . . ). They must be represented from
different points of view, thinking of the possible use of the images of
the hearings for multiple (and adversarial) purposes.</p>
      <p>
        We find in the recent literature several approaches to this perspective
problem and the so-called ‘semantic gap’: (i) multi-context ontologies
vs. mono-context ontologies
        <xref ref-type="bibr" rid="ref1 ref14">(Bensliman et al. 2006 ; Arara and Laurini,
2005 ; Dong and Li, 2006)</xref>
        ; (ii) low-level descriptors [pixel color, motion
vectors, spatio-temporal relationships] vs. semantic descriptors [person,
vehicle. . . ]
        <xref ref-type="bibr" rid="ref2">(Petrides et al. 2005, Athanasiadis et al. 2005, Boehorn et al
2005)</xref>
        ; modal keywords of perceptual concepts [aural, visual, olfactory
tactile, taste] vs. content topics
        <xref ref-type="bibr" rid="ref16 ref16 ref17 ref17">(Jaimes et al. 2003a; Jaimes et al.
2003b)</xref>
        ; (iii) cross-media annotation
        <xref ref-type="bibr" rid="ref13">(Deschachts and Moens 2007)</xref>
        .
From a legal multimedia user-centered perspective there are two
problems related to these proposals that have to be addressed (i) the
definition of context in merging and aligning legal and multi-media ontologies;
(ii) the specific exophoric nature of the legal videorecording.
Researchers on contextual ontologies use to define ‘context’ as local
(not shared with other ontologies) and opposed to content ontologies
themselves (shared models of a domain)
        <xref ref-type="bibr" rid="ref15 ref7">(Bouquet et a. 2004; Haase et
&lt;actor name=“judge” tc=“00.01.30”&gt;
Let us see mr. *** DEFENDANT STANDS UP AND APPROACHES
TO THE MICROPHONE come to the microphone [PROCEDURAL
FORMULA, EXCLUSIVE USE BY THE JUDGE]
&lt;/actor&gt;
&lt;actor name=“defendant” tc=“00.01.31”&gt;
yes
&lt;/actor&gt;
&lt;actor name=“judge” tc=“00.01.38”&gt;
and answer the questions that both attorneys are going to
formulate, starting by the attorney of the plaintiff [GENERAL RULE:
IF BOTH PARTIES HAVE REQUESTED EXAMINATION, THE
PLAINTIFF’S ATTORNEY ALWAYS COMES FIRST IN
EXAMINATING THE DEFENDANT, AND THEN CONTINUES THE
DEFENDANT’S ATTORNEY].
&lt;/actor&gt;
&lt;actor name=“plaintiff’s attorney” tc=“00.01.38”&gt;
With the permission of your honor [PROCEDURAL FORMULA,
EXCLUSIVE USE BY THE ATTORNEYS] eh do you know whether mrs.
**** is being living with her grandmother mrs ** since january 2001
&lt;/actor&gt;
al. 2006)</xref>
        .1 Therefore, to cope with the directionality of information
flow, the local domains and the context mapping, which cannot be
represented with the current syntax and semantics of OWL, C-OWL
is being developed.2
      </p>
      <p>
        From the multimedia researchers point of view, context is defined
currently as ‘the set of interrelated conditions in which visual entities
(e.g. objects, scenes) exist’
        <xref ref-type="bibr" rid="ref16 ref17">(Jaimes et al. 2003a,b)</xref>
        . This grounds the
strategy of the direct vs. indirect exploitation of the knowledge base to
annotate the content of the videos, using visual and content descriptors
alike
        <xref ref-type="bibr" rid="ref5">(Bloedhorn et al. 2005)</xref>
        .3 But, most important, this definition of
context entails a theoretical approach in which ‘actions and events in
1 ‘It can be argued that the strengths of ontologies are the weakness of contexts
and vice-versa’ (Bouquet et al., Haase et al. ibid.).
      </p>
      <p>
        2 Directionality of information flow : keeping track of the source and the target
ontology a specific piece of information; local domains: giving up the hypothesis
that all legal ontologies are interpreted in a single global domain; context mapping:
stating that two elements (concepts, roles, individuals) of two ontologies, though
extensionally different, are contextually related, e.g., because they both refer to the
same object in the word
        <xref ref-type="bibr" rid="ref7">(Bouquet at al. 2004)</xref>
        .
      </p>
      <p>
        3 ‘The main idea of our approach lies in a way to associate concepts with instances
that are deemed to be prototypical by their annotators with regard to their visual
characteristics’ (ibid. 2005: 593).
time and space convey stories, so, a video program (raw video data)
must be viewed as a document, not a non-structured sequence of frames’
        <xref ref-type="bibr" rid="ref19">(Song et al. 2005, 2006)</xref>
        . In such an approach, visual low level features,
object recognition and audio speaker diarization (process of partitioning
the audio stream in homogenous segments and clustered according to
speaker identity) are crucial to analyze e.g. a sport or movies’ sequences.
      </p>
      <p>However, the audiovisual documents that are recorded in Spanish
courtrooms do not convey actions, but legal narratives. Motion and
colour are generally uniform, since they are not considered the relevant
aspect of those documents. Thus, court records are technically very poor
(see fig. 5), filmed using a one-shot perspective (the camera is situated
above and behind the judge, who never appears on the screen). Rather
than telling a story, the video structures a single framework in which
a story is referred, conveyed and constructed by the procedural actors
(judge, counsels, testimonies, secretary, and court clerks).</p>
      <p>Here lies the layered exophoricity of the legal discourse. Actions,
events and stories are referred into a contextually embedded discourse,
procedurally-driven, and hierarchically conducted by the judge
(judgecentered). Therefore, a strong décalage is produced between audio and
video as sources of information. A legal court video record would be
completely useless without the audio, because we may only infer
procedural (but not substantial) items from the motion. What is important is
what is said in court, not what is done. Visual images are only ancillary
related to the audio stream. This is an important feature of the records,
which has to be taken into account in the tasks of extracting, merging
and aligning ontologies, because what the different users require (judges,
lawyers, citizens) is the combination of different functionalities focused
on the legal information content (legislation quoted, previous cases and
judgements –precedent-, personal professional records, and so on). This
is the reason for a hybrid user-centred approach that is the kernel of
our theoretical approach.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Structure of the Video Prototype</title>
      <p>The development of an intuitive user interface constitutes a central
requirement of the system. While preserving the simplicity of use, the
application allows: a) access to the legally significant contents of the
video file; b) integration of all procedural documents related to the oral
hearing; c) management of sequential observations, and d) semantic
queries on the contextual procedural aspects.</p>
      <p>The structure of the application is based on two intuitive and
semantically powerful metaphors: the oral hearing line and the oral hearing
axe. The oral hearing line presents a timeline divided into segments.
Each segment represents a different speech, produced by one of
participants in the process: judge, secretary, attorneys, witnesses, etc. Each
participant is represented by a different color to obtain an identification
at first glance of their interventions. Therefore, it is possible to visualize
specific contents of the video by merely clicking on a particular colored
sequence. Moreover, it is possible to add textual information to any
instant of the intervention.</p>
      <p>The oral hearing axe consists of a column representing the different
phases of the event as defined by procedural legislation. Different phases
(as opening statements, presentation of evidences, concluding
statements, etc) are represented by different colors, allowing a quick access.
It is also possible to access to legal documents related to each phase
(i. e. pieces of evidence such as contracts, invoices, etc.) as well as to
jurisprudence quoted in the oral hearing and detected through phonetic
analysis. This legal information is also structured in directories and
folders.</p>
      <p>As Figure 6 shows, the user interface is divided into two main parts:
the upper part contains the video player, the oral hearing axe and the
oral hearing line. The lower part is devoted to external information
layers (i.e. references to articles, documents annexed, manual annotations,
links to jurisprudence, etc.). This part is divided into two tabs. The first
one contains important information of the selected phase, allowing the
addition of the different documents presented during the phase. The
second tab contains historical information of the process and all the
related information available in advance.</p>
      <p>The main functionalities offered in the upper part of the user
interface are:
1) The information tab: this is a scrollable tab containing the most
relevant data of the process.
2) The oral hearing line: the timeline of sequences and interventions
assigned to the different actors of the process. One single sequence
of the video may contain interventions of different actors.
Therefore, sequences may be either mono-colored (intervention of one
single part) or multi-colored (more than one part intervening in
the same sequence). The horizontal length of each segment of the
timeline is proportional to its length in seconds. The application
includes two modes of playing video, apart of the usual one. It is
possible to select either the visualization of all the interventions
by a single participant or, in turn, all the interventions on a given
phase.
3) The list of intervening parties: Each actor intervening in the process
is represented by an icon. As in the case of the oral hearing line, we
may choose to visualize only those sequences appearing one specific
participant (i.e. the judge or de defense attorney).
4) The oral hearing axe: this is the vertical line representing the
procedural phases of the process. The judicial process is therefore
divided in procedural phases which can, as well, be subdivided in
interventions. The vertical axe has the advantage of providing quick
access to interventions belonging to a given phase.</p>
      <p>In addition to these functionalities, it is possible make a manual
annotation of the sequence. Double-clicking with the right bottom of
the mouse over a sequence running on the video screen opens a pop-up
with a manual annotation tool.</p>
      <p>As regards the lower part of the user interface, this area contains
all the relevant information and documents of the process, but also
enables the user to add and organize the information appearing during
the different phases. This part is divided into two different sections:
1) An area enabling the visualization of all the references related to
each phase of the process. References consist of data (i.e. Civil Code
articles, judgments, Internet links, etc.) automatically introduced
through semantic annotation.
2) An area including all manual annotations of the sequences made
by the user.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Architecture of the video prototype</title>
      <p>The architecture of the system is based on a web system including the
following components:
1) Video server WMS: a server based on Windows 2003 Enterprise
server with a streaming Windows Media services which allows video
broadcast of audiovisual content of the judicial processes under
demand. Application server TOMCAT: the application serves web
contents and provides the required interaction with the database
by means of Java Server Pages;
2) Mysql Database: the Mysql database contains the information
related to all processes and their respective annotations;
3) Client browser IE 7.0: It allows the management of the user
interface and the management of the user interaction with the embedded
Windows Media Player 11 that streams the video.</p>
    </sec>
    <sec id="sec-6">
      <title>6. Conclusions and expected results</title>
      <p>In the E-Sentencias project we expect to obtain two different types
of results. On the one hand, a fully annotated legal corpus of
multimedia oral hearings classified in 15 procedural classes, as regulated
by the 1/2000 Act. On the other hand, an operational system with a
human-computer interface as described in this paper. Using the
system prototype, the automatic capabilities of speaker interventions and
phases detection will be tested against manually annotated corpus. It
will also be evaluated in cross-oral hearings retrieval based on hardware
accelerated and specifically implemented multimedia ontologies.</p>
    </sec>
    <sec id="sec-7">
      <title>Acknowledgements</title>
      <p>E-Sentencias (E-Sentencias. Plataforma hardware-software de aceleración
del proceso de generación y gestión de conocimiento e imágenes para la
justicia) is a Project funded by the Ministerio de Industria, Turismo
y Comercio (FIT-350101-2006-26). A consortium of: Intelligent
Software Components (iSOCO), Wolters Kluwer España, IUAB Institute
of Law and Technology (IDT-UAB), Centro de Prototipos y Soluciones
Hardware - Software (CHEPIS - UAB) y Digital Video Semantics (Dpt.
Computer Science UAB).</p>
    </sec>
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