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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>How to Incorporate Collaborative Discourse in Cultural Digital Libraries</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Holger Brocks</string-name>
          <email>brocks@ipsi.fraunhofer.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Adelheit Stein</string-name>
          <email>stein@ipsi.fraunhofer.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ulrich Thiel</string-name>
          <email>thiel@ipsi.fraunhofer.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ingo Frommholz</string-name>
          <email>frommhol@ipsi.fraunhofer.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andrea Dirsch-Weigand</string-name>
          <email>dirsch@ipsi.fraunhofer.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Fraunhofer Institute Integrated Publication and Information Systems Dolivostr.</institution>
          <addr-line>15 64293 Darmstadt</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Discourse structure relations can be used to establish collaborative discourses within a cultural digital library. Ranging from factual to more interpersonal levels they describe the intended relations between data and metadata objects, especially annotations. Pragmatics aspects are covered by communicative acts, which complement the discourse structure relations and provide means for metacommunication. The resulting interrelations between the various domain objects can be employed to perform advanced context-based retrieval.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;task-guided collaboration</kwd>
        <kwd>discourse structure relations</kwd>
        <kwd>communicative acts</kwd>
        <kwd>context-based retrieval</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Collaboration can be regarded as a process in which two or
more participants coordinate their actions toward achieving
shared goals. Collaborative discourses describe extended
communication between two or more participants in a
shared context ([
        <xref ref-type="bibr" rid="ref11">12</xref>
        ]). Annotations represent our core
concept for establishing a discourse context.
      </p>
      <p>In the remainder of this paper we will describe in detail
how discourse structure relations and communicative acts
can be combined to introduce collaborative discourses to a
cultural digital library system.</p>
    </sec>
    <sec id="sec-2">
      <title>The COLLATE Project</title>
      <p>As an underlying platform-independent and
crossorganizational infrastructure the World Wide Web (WWW)
can support scholarly work across the Internet in various
ways. The European-funded COLLATE project (IST–
1999–20882) is set out to design and implement a
collaboratory for professional communities in the Arts and
Humanities working with digitized historic-cultural
material.</p>
      <p>
        Historical film documentation serves as example domain
for the setup of a technical environment for shared access
to a digital repository comprising digitized multi-format
documents on several thousand European films of the early
20th century. An extended description of the project can be
found in [
        <xref ref-type="bibr" rid="ref5">6</xref>
        ] and on the project website
(http://www.collate.de).
      </p>
      <p>In our view a cultural Digital Library has to offer support
for task-guided collaboration, i.e. it should provide an
environment for structured scientific discourses by defining
and maintaining a model of its users’ tasks and goals as
well as of the potential interrelations between these
discourses and the objects in its domain.</p>
      <p>The main contributions of COLLATE will include:
•
•</p>
      <p>A Web-based collaboratory that provides a
comfortable working environment and user interfaces
for supporting end-users in their annotation, indexing
and retrieval of multi-format, multimedia historic
archive material; and
A comprehensive digital multimedia collection on
European historic films and film documentation,
annotated and interpreted by a multi-national team of
experts using the COLLATE system.</p>
    </sec>
    <sec id="sec-3">
      <title>TASK-GUIDED COLLABORATION</title>
      <p>
        Digital Libraries offer new opportunities for collaboration
and communication that were unfeasible in traditional
libraries ([
        <xref ref-type="bibr" rid="ref10">11</xref>
        ]). Our goal is to develop a cultural
collaboratory, supporting interpretative work on mostly
textual material. The starting point for collaborative work
comprises already existing data in form of binary image
representations of the digitized source documents.
Therefore, we do not focus on cooperative data acquisition
but on collaborative content-based indexing, i.e. supporting
user groups in their joint work with documents, allowing
additions, modifications and explicit negotiation of the
interpretation of documents and document passages.
Annotations are notes and comments added to a document
(or a document region) to explain and interpret it. But to
serve as building blocks in a formal representation of a
discourse, an annotation has to consist of more than
unstructured and uncontrolled text which comments on a
document.
      </p>
      <p>
        A cultural digital library should not only provide means for
simple access to the data stored in the underlying
repository, but should also support its scholarly users in
actively contributing to the collections (see, e.g., [
        <xref ref-type="bibr" rid="ref10">11</xref>
        ]). For
this reason we go beyond the mere replication of traditional
domain-specific workflows by providing a comprehensive
model of the various types of COLLATE domain objects
(e.g., documents, annotations), and their potential
interrelations. Our notion of task-guided collaboration
includes the recognition of structures as well as relations
between different types of annotations. By taking the users’
roles, tasks, and goals into account we aim to provide
comprehensive support for the various levels of indexing
and interpretation.
      </p>
      <p>
        In a collaborative environment each user maintains her own
view on the digital repository, which might be dependent
on her current role in the indexing process as well as on the
actual task she is trying to perform with the system. For this
reason, the heterogeneous roles users can take up as well as
the social aspects of collaborative work have to be taken
into account. In order to cope with spontaneously emerging
profiles of interest and information needs an adequate
collaborative environment has to maintain a model of the
roles its users can take up as well as of the tasks they are
supposed to perform (cf. [
        <xref ref-type="bibr" rid="ref2">3</xref>
        ]).
      </p>
      <p>The current task the user is trying to accomplish plays in
fact a dominant role as it specifies the view on the domain
objects in the repository and the relevant retrieval
operations on them. Satisfying the various kinds of
(spontaneously emerging) information needs forms the
basis for maintaining a continuous flow of information
between the system and its users by allowing them to
contribute new knowledge derived from material accessed
before.</p>
      <p>The COLLATE system supports asynchronous
collaboration in indexing for non-technical users. The
scanned documents refer, e.g., to films, plots, or censorship
cases. Together with their associated metadata objects, in
particular annotations, they represent the main focus of
collaborative work, i.e. collaboration is performed through
annotating the various types of domain objects.</p>
      <p>The interrelations between the various domain objects can
either be unspecified or it can be modeled in a more
explicit way by defining specific types of admissible
relations. In addition, certain communicative acts on the
meta-level (e.g., request for clarification) are part of the
COLLATE collaboration model.</p>
      <p>This kind of system-internal collaboration can, of course,
be complemented by external communication mechanisms,
e.g., by email or discussion forums.</p>
    </sec>
    <sec id="sec-4">
      <title>DISCOURSE STRUCTURE RELATIONS (DSR)</title>
      <p>
        According to Rich and Sidner (see [
        <xref ref-type="bibr" rid="ref11">12</xref>
        ]) collaboration can
be regarded as a process in which two or more participants
coordinate their actions toward achieving shared goals.
Most collaboration between humans involves
communication. Discourses represent extended
communication between two or more participants in a
shared context, such as collaboration.
      </p>
      <p>It becomes obvious that the users’ individual tasks and
goals have to be taken into account for modeling a
collaborative system. Content-based indexing of a specific
document – in this sense – can be considered as a global
task, which can be decomposed into partial tasks. In the
COLLATE context, the result of these partial tasks, which
are to be performed by various users, is value-added
information in form of metadata objects associated with the
original document. But these partial tasks are only rarely
performed in isolation. On the contrary, in most cases a
specific annotation will be part of a thematic thread, e.g.,
some newsgroup-like discussion about a certain topic.
Digital signatures are employed to ensure authenticity of
the individual contributions as well as the chronological
order of the annotations.</p>
      <p>To capture the coherent aspects of the discussions, we
employ a model of discourse structure relations between a)
binary image versions of the original document and
annotations and b) discussion threads realized as
annotations on annotations.</p>
      <p>l
a
n
o
s
r
e
p
r
e
t
n
i
elaboration
comparison</p>
      <p>
        cause
background information
interpretation
argumentation
analogy
difference
support argument
counterargument
Our document-centered discourse model is loosely based
on concepts derived from discourse theory. In particular we
adopted the concept of discourse structure relations (or
rhetorical relations as defined by Mann &amp; Thompson [
        <xref ref-type="bibr" rid="ref9">10</xref>
        ]).
Even though it has originally been developed for
monologues in the linguistic context of text cohesion we
think that discourse structure relations can be used to
describe admissible relations between various data and
metadata objects in the COLLATE context, especially
between annotations.
      </p>
      <p>Figure 1 shows the specific subset of relevant relations we
employed for COLLATE, ranging from factual to more
interpersonal levels (i.e. focusing on certain qualities of the
participants of the discourse).</p>
      <p>
        For detailed reviews on other existing approaches and a
meta-taxonomy of discourse structure relations see ([
        <xref ref-type="bibr" rid="ref7">8</xref>
        ],
[
        <xref ref-type="bibr" rid="ref8">9</xref>
        ]). In the following we just briefly paraphrase the
discourse structure relations used in COLLATE:
•
•
•
•
      </p>
      <p>Elaboration – Providing additional, more detailed
information (e.g., “…it’s Paris in USA, and not in
France…”).</p>
      <p>Comparison – Comparative relations can be further
sub-structured to emphasize semantic similarities or
contrasts between two elements of a discourse.</p>
      <p>Cause – To state a specific cause for a certain
circumstance.</p>
      <p>Background information – Using information about
the background of the author of the other annotation
(e.g., “… As a lay-person the author does not take
psychological aspects into account…”).</p>
      <p>Interpretation – (Subjective) interpretation of a
statement being referred to (e.g., “…the author actually
means…”).</p>
      <p>Argumentation – The statement or argument of the
other author is either supported, or a
counterargument/antithesis is formulated here.</p>
      <p>The seamless transition from factual to interpersonal
discourse structure relations depicted in Figure 1 also
corresponds to the illocutionary aspects of an annotation,
i.e. the specific communicative intention its author had in
mind at the time of creation (e.g., from stating factual
information towards active participation in a discussion
thread).</p>
      <p>Even though discourse structure relations proved adequate
for modeling the interrelations between annotations it
turned out, however, that there are some relevant pragmatic
aspects of collaborative indexing work, which are not yet
covered. In the next section we describe how discourse
structure relations can be complemented by communicative
acts to introduce meta-communication, i.e. explicit
communication about domain objects, in a seamless way.</p>
    </sec>
    <sec id="sec-5">
      <title>COMMUNICATIVE ACTS (CA)</title>
      <p>Scientific source analysis and interpretation can be
regarded as a highly incremental process, which requires
extensive domain-specific knowledge. Within a
collaborative environment, a user can explicitly perform
communicative acts in order to request assistance for
accomplishing a particular task (cf. [1]).</p>
      <p>
        The speech-act oriented COR (COnversational Roles) has
been designed to model cooperative information-seeking
dialogues in a domain-independent way (cf. [
        <xref ref-type="bibr" rid="ref13">14</xref>
        ], [
        <xref ref-type="bibr" rid="ref14">15</xref>
        ]).
Focusing on the pragmatics COR covers the basic
illocutionary aspects and expectations of specific behavior
associated to a role of a dialogue. In essence it provides a
set of basic communicative acts (e.g., expectations,
commitments, retractions, corrections, and clarifications)
that are categorized on basis of their communicative
purpose and role assignment.
      </p>
      <p>
        For the COLLATE context only a subset of COR
primitives had to be adapted in order to cover the pragmatic
aspects of collaborative indexing work. From the five
global categories postulated by Searle ([
        <xref ref-type="bibr" rid="ref12">13</xref>
        ]) and used in
COR we identified only three classes of communicative
acts to be of most relevance for our purposes:
•
•
•
      </p>
      <p>Assertives – Assertions represent a certain class of
communicative acts that can be characterized as being
either true or false. Comments represent an important
class of qualified assertives. Comments can either be
requested or not. The relationship between
nonrequested comments and the discourse relations
described in the previous section will be discussed
later.</p>
      <p>Directives – Attempts to get some other person to do
something are classified as directives. Requests, e.g., a
search for documents or specific questions (“Could
you please explain…”) directed to other users would
represent the most prominent examples of this class of
communicative acts.</p>
      <p>Commissives – The illocutionary point of
commissives is to commit oneself to some future
course of action. A promise to provide additional
information with respect to a certain film would be a
good example from the COLLATE domain.</p>
      <p>The main purpose of these three classes of communicative
acts is to allow for explicit communication on the
metalevel, i.e. meta-communication about the various indexing
tasks supported by the system.</p>
    </sec>
    <sec id="sec-6">
      <title>INTERRELATION BETWEEN DSR AND CA</title>
      <p>
        Conceptually, discourse structure relations and
communicative acts can be considered as complementary:
Communicative acts focus on illocutionary aspects of a
specific dialogue situation, whereas discourse structure
relations describe characteristic relationships between
assertive acts, e.g., annotations or comments ([
        <xref ref-type="bibr" rid="ref3">4</xref>
        ]).
But on closer inspection it becomes evident that some
communicative acts might invoke certain types of discourse
structure relations between the corresponding annotations.
In our view, the set of discourse structure relations adopted
for COLLATE can be considered as specific instances of
comments, i.e. they are treated as assertive communicative
acts.
      </p>
      <p>From this perspective, we can regard explicit collaboration
in the context of the COLLATE project as the combination
of specified relation types between annotations, i.e.
discourse structure relations, which are complemented by a
certain set of admissible COR acts for meta-communication
(on the dialogue level) referring to the various types of
COLLATE domain objects (e.g., annotations, cataloguing
information).</p>
      <p>In essence, we regard discourses as results of “cooperative
negotiations” where the discourse participants have certain
context-related obligations as well as specific expectations.
A concrete example for the interrelation between
communicative acts and discourse structure relations would
be, for instance, if a user had some questions with respect
to a particular annotation, she can request some
explanations from its author. The system can support this
kind of meta-communication by providing certain means
for interaction, e.g., a “Request explanation” button located
in each annotation dialog. Internally, the specific type of
discourse structure relations chosen to describe the
interrelation between the original annotation and its
explanation (realized as an annotation on the original
annotation) has to reflect the difference between requested
and non-requested annotations.</p>
    </sec>
    <sec id="sec-7">
      <title>CONTEXT-BASED RETRIEVAL</title>
      <p>
        Appropriate search and retrieval functionality represents a
fundamental requirement for enabling the user community
to access a cultural Digital Library in a reasonable way. To
allow for advanced content- and context-based search the
documents in the digital collection must be indexed by
content and subject matter (cf. [
        <xref ref-type="bibr" rid="ref2">3</xref>
        ]).
      </p>
      <p>In context-based retrieval, a document does not stand for its
own, but also the actual context of this document is
considered. For the COLLATE case, this means that we are
dealing with the discourse context. The RDF statements,
which are used to interrelate the various domain objects,
are typed according to the discourse structure relation they
represent. With this information, we then know the specific
type of an annotation with respect to its context, e.g. an
elaboration or an example.</p>
      <p>Having a second look at Figure 2 one can see that only the
inclusion of the associated annotations would yield it as
relevant for a query like “political background”. But it also
becomes evident that the annotations within a certain
discourse context cannot be treated in isolation, e.g., the
second counterargument weakens the statement it
comments upon in this context.</p>
      <p>The introduction of discourse structure relations allows for
novel retrieval options with respect to the discourse
context. They can be used to create a ranking of relevant
documents according to the users’ queries. Depending on
the specific type of its connecting relation, an annotation
can possibly raise or lower the overall relevance weight of
its discourse context.</p>
    </sec>
    <sec id="sec-8">
      <title>THE COLLATE SYSTEM</title>
      <p>The COLLATE system is under development. At its
current stage of development, the COLLATE prototype
system already supports various tasks like cataloguing,
indexing (structured, free), and allows for unstructured
discourses based on free comments. Furthermore, it offers
simple search options based on filmographic information as
well as on transient information recorded as part of the
scanning process.
After having accessed a document (via “Document
Search”) the user is presented a tree-list view of
annotations already associated to the document. In this case
a specific passage of the second document page, the
justification for the ban of the film “Kuhle Wampe”, has
already been marked-up and commented upon. In our
example, the current user disagrees with the reasons stated
in the initial annotation. Therefore, she provides a
counterargument in which she states her reasons for the
disagreement</p>
    </sec>
    <sec id="sec-9">
      <title>SEMANTIC WEB INTEGRATION</title>
      <p>The design of an adequate logical representation of the
COLLATE domain model was a challenging task.
In order to be able to identify and define the heterogeneous
data and metadata objects in our domain the different types
of cultural contents had to be studied and classified into
certain categories. The various COLLATE domain objects
(e.g., cataloguing information, keywords, annotations) are
represented as instances of appropriate XML schema,
uniquely identified by their URIs.</p>
      <p>Internally, the structured, document-centered discourses are
implemented using RDF descriptions, which relate the
annotations to the objects they describe according to the
COLLATE RDF Schema.</p>
      <p>By employing the Resource Description Framework we are
able to interrelate the various data and metadata objects in a
dynamic way, i.e. depending on users’ information needs
our system is able to generate corresponding views on the
documents and their associated metadata in a distributed
repository.</p>
      <p>The technical details of the implementation of the
COLLATE system are beyond the scope of this paper and
will be described elsewhere.</p>
    </sec>
    <sec id="sec-10">
      <title>RELATED WORK</title>
      <p>
        BSCW provides web-based support for collaborative
environments, which represent directories of shared objects
and are associated with group memberships ([
        <xref ref-type="bibr" rid="ref1">2</xref>
        ]).
1. Lotus Notes represents a commercial groupware product
for protected information sharing with limited
collaboration support via messaging
(http://www.lotus.com/home.nsf/welcome/notes).
Collaboratories, unlike CSCW systems, support more
thoroughly studies of the source material, which is stored as
a distributed set of digitized source documents (e.g., [
        <xref ref-type="bibr" rid="ref6">7</xref>
        ]).
DEBORA aims to provide digital access to a set of
digitized printed works. It supports annotation sharing and
personal annotation functionality, but without any explicit
model for discourses ([
        <xref ref-type="bibr" rid="ref10">11</xref>
        ]).
      </p>
      <p>
        Annotea is a web-based shared annotation system based on
an open RDF infrastructure. Its implementation in the
Amaya browser treats annotations as statements about web
documents. Even though nested annotations have been
introduced in recent versions, discussion threads are
realized as unstructured sequences of metadata ([
        <xref ref-type="bibr" rid="ref4">5</xref>
        ]).
      </p>
    </sec>
    <sec id="sec-11">
      <title>CONCLUSIONS</title>
      <p>For COLLATE, content-based indexing denotes
interpretative work on binary image representations of
mostly textual material. In a collaborative environment,
several users cooperate in order achieve shared goals, e.g.,
to understand the rationale why a certain movie has been
banned. In our model of collaboration, annotations serve as
the primary means for semantic indexing. Discourse
structure relations allow us to represent the various types of
admissible interrelations between domain objects.
Explicit communicative acts are used to cover specific
illocutionary aspects, which are necessary to allow for
collaborative meta-communication about the indexing tasks
to be performed.</p>
      <p>Exploiting the internally represented knowledge about the
discourse context of the users’ input (current task, role), i.e.
the interrelation between the annotations, allows for far
more specific and pragmatically relevant search and
retrieval methods. RDF and XML Schema guarantee
seamless integration of our idea of object-centered
interaction between users with other Web-based services.
The incorporation of document-centered discourses within
a cultural digital library usability concerns must be taken
into account. It has yet to be evaluated whether our user
community accepts our approach of task-guided
collaboration. We hope that the provision of
situationadequate interfaces helps to perform “traditional” tasks as
well as offer support for new working methods, which were
unfeasible in traditional environments.</p>
    </sec>
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