<!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>Historical Event-based Access to Museum Collections</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Chiel van den Akker</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Lora Aroyo</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Agata Cybulska</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marieke van Erp</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Peter Gorgels</string-name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Laura Hollink</string-name>
          <email>L.Hollink@tudelft.nl</email>
          <xref ref-type="aff" rid="aff6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Cathy Jager</string-name>
          <email>C.Jagerg@rijksmuseum.nl</email>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Susan Leg</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Lourens van der Meij</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Johan Oomen</string-name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jacco van Ossenbruggen</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>Guus Schreiber</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Roxane Segers</string-name>
          <email>RH.Segersg@cs.vu.nl</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Piek Vossen</string-name>
          <email>P.Vosseng@let.vu.nl</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Bob Wielinga</string-name>
          <email>B.J.Wielinga@uva.nl</email>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Centrum Wiskunde &amp; Informatica (CWI)</institution>
          ,
          <addr-line>Amsterdam</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Department of Computer Science/VU University Amsterdam</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Faculty of Arts/VU University Amsterdam</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Human-Computer Studies Laboratory/University of Amsterdam</institution>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Netherlands Institute for Sound and Vision</institution>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>Rijksmuseum Amsterdam</institution>
        </aff>
        <aff id="aff6">
          <label>6</label>
          <institution>Web Information Systems Group/Delft University of Technology</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>This paper presents research in the context of two multidisciplinary projects aimed at facilitating the history domain with an automatic approach for event extraction and modelling. To realise this, the Semantics of History project is providing a historical ontology and a lexicon to support the detection of historical events in textual data whilst the Agora project focusses on exploring the modelling aspects of historical events and employing the combined results in an event-driven browse and search approach. Furthermore, the historical events are used as a exible model to identify semantically relevant relationships between objects in highly diverse museum collections, creating meaningful `cause' and `e ect' links along the key event dimensions `who', `what', `where' and `when'. This should nally support the (re)interpretation process of history research, by allowing end-users to create their own personal narratives, leading to theoretical re ection on the meaning of digitally mediated public history in contemporary society. In this paper, we give a high-level overview of the research challenges in the realisation of a desired search and browse scenario. Finally, we outline the open issues and future research.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>There is a vast amount of historical knowledge locked in museum collections. This knowledge is
often explicitly present in textual descriptions accompanying museum objects or implicitly present
through the fact that an object belongs to a particular collection and was collected for a particular
purpose. In this sense, objects from one museum collection only tell part of the story, as they present
a view on the past from one only perspective, limited to their collection. Through combining objects
from di erent collections, a more comprehensive view of a certain historical period can be given.
When unlocked, this knowledge can help casual users understand the signi cance of museum objects
and historical events better and aid experts (curators, art historians and historians) in their search
for objects relevant to a topic.</p>
      <p>The Agora project started in October 2009 with the aim of facilitating context-driven browsing
and search in heterogeneous museum collections. The context that unites these collections is
provided by historical events that can be linked to the collection objects, as historical event-descriptions
are comprised of causal language, locations, the actors involved and the time of the event. Agora
is a four year project with a team made up of experts from the computer science and the history
departments at the VU University in Amsterdam8;9, as well as from the Netherlands Instititute
for Sound and Vision (henceforth: S&amp;V)10 and Rijksmuseum Amsterdam (henceforth: RMA)11.
The goal of Agora is threefold: (1) a historical event thesaurus linked to museum artefacts, (2) a
semi-automatic event modelling approach that satis es both the needs of experts and the general
public, and (3) an online social platform in which both the general public and expert historians can
explore various perspectives on events, build their own narratives, and contribute to the evolution
of the event thesaurus.</p>
      <p>The Semantics of History project started in August 2009 with the aim to model changes of
historical reality over time and through di erent writer perspectives which are revealed in historical
text archives. For this purpose, Semantics of History aims at developing a historical ontology and a
lexicon which will facilitate detection of historical events in textual data. The resulting models and
the event extraction from text will be implemented and tested in the context of the Agora project.
Semantics of History is funded by the VUA Interfaculty Research Institute CAMeRA and is carried
out in cooperation between two departments at the VU University in Amsterdam: the linguistics
department and the computer science department.</p>
      <p>The results of both Agora and Semantics of History will be deployed in a social cultural heritage
platform that will allow di erent users (e.g., experts, interested laypersons and secondary school
students) to have event-based access to the S&amp;V and RMA collections. As Agora and Semantics of
History are tightly interwoven, we will from this point on report on the combined results of these
projects.</p>
      <p>This paper is structured as follows. In Section 2, the motivation for this project is given by
discussing the shortcomings of current collection access and modelling and by describing the needs
from di erent user groups in two use-cases. In Section 3, the technical challenges of Agora and
Semantics of History are presented, along with the approaches that we are investigating. To conclude,
we will present open issues in Section 4. In Figure 1, the di erent parties, goals and domains that
play a role in the two projects are summarised.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Motivation</title>
      <p>In the humanities domain, there are di erent user groups with a great need for advanced
crosscollection access to resources. In our case, we are dealing with the question of how museums can
present the speci c information that belongs to objects in their collection in a way that strengthens
users' historical understanding and involvement in relevant historical debates. We are also
asking ourselves how we can prevent users from ending up perusing the collection in a zapping-like,
8 http://www.cs.vu.nl/
9 http://www.let.vu.nl/
10 http://www.beeldengeluid.nl
11 http://www.rijksmuseum.nl/
Experts</p>
      <p>Event-driven Exploration
Secondary
School
Students</p>
      <p>Object-driven Exploration</p>
      <p>Historical Event Thesaurus
Event Modelling</p>
      <p>&amp;
Semantics of History</p>
      <p>Event</p>
      <p>Model
Personal Mediated History Social Platform</p>
      <p>Text Mining
Schemas &amp;</p>
      <p>Vocabularies
Information Extraction</p>
      <p>&amp; Enrichment
Information Integration</p>
      <p>User Interaction
incidence-based viewing that will only lead to a con rmation of his or her preconceived views and
insights as no relations between objects are presented that are novel or surprising to the user. The
answer of museums to this challenge so far has been to prepare thematic `Web-specials': portals and
other Web-presentations that present historical narratives as an extension of the regular exhibition
and education practice. With an approach that is centred around historical events for collection
access we aim to strengthen the role of museum collections in the public discourse about the past.</p>
      <p>
        Although museum collections and their accompanying information are becoming available in
digital forms, search is often limited to keyword search and browsing through prede ned facets[
        <xref ref-type="bibr" rid="ref1">1</xref>
        ].
These access methods are not optimal; in keyword search, for example, it is not clear how the
retrieved results are related to each other as they are simply presented in a list. Specifying a search
query through facets resolves this problem, as it enables users to specify which relations they nd
relevant. However, facet browsing is often limited in that there is usually one set of facets that may
not provide su ciently negrained access to all artefacts. Most museum collections, for example,
are searchable through facets that describe meta-data that is available for every object such as title,
year, artist, technique, dimensions and object id, but users may also want to search via locations
that play a role in the object (for example because a location is depicted in the artwork, or because
the birthplace of the artist might be relevant). Combined access to heterogeneous collections from
di erent institutions only augments the shortcomings of keyword and facet access strategies as
keyword search will often return more unorganised results when more collections are searched, and
facets from di erent collections are often incompatible.
      </p>
      <p>In addition to the general technical shortcomings of current access methods, there are
shortcomings that stem from the cultural heritage domain. Users in this domain have a strong desire to
explore collections through a personal narrative or from a personal perspective. Currently, cultural
heritage collections lack event-based annotations that would provide the context to facilitate such
explorations, but cultural heritage institutions have expressed the wish to have a formal de nition
of events to include in their annotation of collections.</p>
      <p>We argue that collection access through events can remedy these bottlenecks as events provide
the context that can link a variety of objects together, providing a more comprehensive overview
than facets. To facilitate cross-collection access, we aim to develop an event thesaurus with which
di erent collections can align their internal thesauri. Furthermore, our approach will combine both
searching and browsing as this ensures maximum exibility for the user to explore the collection
whilst keeping track of relations between objects. We speculate that by providing a social platform
for history, laypersons and experts will complement each other in the process of creating a digitally
mediated public history. We believe in an open and social environment in which lay and expert users
can together explore and contribute to the evolving collections of objects, events and thesaurus
terms. In this way, we will research and develop ways to support a dynamic (community-based and
event-centred) creation of narratives of digitally presented material objects as well as multimedia
objects. Events are central to narrative and perspective. For a narrative is a sequence of events
with a beginning, middle and end, and di erent sequences of events provide di erent perspectives
on those events.</p>
      <p>We envision two types of exploration: object-driven and event-driven exploration. Object-driven
exploration involves a search or browsing activity where the user starts by selecting an object
from the collections and subsequently nds new objects and events through the relations with the
rst object. In the event-driven exploration, the user starts by selecting an event and builds a
sequence of related events and objects. As a user may hop between events and objects on his or
her search through the collections the object-driven and event-driven explorations alternate. An
example of a cross-collection exploration scenario in the Agora platform is presented in Figure 2.
In this scenario, the object-driven and event-driven exploration is presented as an alternative to
the typically currently used small, xed set of relations imposed by the owner of the collection. It
enables the user to wander through the RMA and S&amp;V collections via event-based relations between
collection objects that are most relevant to the user. In the example illustrated in Figure 2, the
user starts by selecting the RMA print \Arrival of Van Spilbergen in Kandy". This object is related
to an event that has VOC as actor and Batavia as place. In this way, the user can explore these
facets and discover in the results another RMA painting \The Castle of Batavia, seen from West
Kali Besar" depicting the Tradeport of Batavia. Via this object, the user can nd another object
from the RMA collection that depicts an event that takes place such as \A Tea Visit in Batavia".
This object is related to a set of events, such as acts of colonialism, which can also have
subevents, e.g. Police Actions. The user can choose any of these events or sub-events to explore the
collections further and for example arrive at one of the S&amp;V videos that reports on the Police
Actions. The user then continues the sequence along the facet of another sub-event Indonesian War
for Independence, which o ers the S&amp;V video \Suriname and the Netherlands Antilles" annotated
with the sub-event Suriname's Independence. Finally, the user is recommended (from an external
resource) the sculpture \Slavery" located in the Oosterpark in Amsterdam, annotated with the
same Suriname.</p>
      <p>RMA Object
Title: Arrival of Van Spilbergen
in Kandy</p>
      <p>RMA Object
Title: The Castle of Batavia,
seen from West Kali Besar</p>
      <p>RMA Object
Title: A Tea Visit in Batavia</p>
      <p>S&amp;V Object
Title: News from Indonesia
Actor: VOC</p>
      <p>Place: Batavia
Title: Slavery Monument</p>
      <p>Place: Batavia</p>
      <p>S&amp;V Object
Title: Suriname and the
Netherlands Antilles</p>
      <p>Event:
Politce</p>
      <p>Action
Event:
Suriname's
Independence</p>
      <p>External material:
Police Action
External material:
Suriname
Netherlands
We have de ned two use cases that illustrate the need to present the same collections in di erent
ways to di erent user groups. The exploration scenario presented above ts in our rst use-case:
assisting secondary school students for their Culture and Society end assignment. Since 1998, every
student in the two higher tiers of secondary education in the Netherlands is required to write a piece
on a particular topic. To facilitate the search for relevant objects and references for (art)historic
topics, we will build a use-case that is focussing on event-driven browsing for di erent museum
collections. By combining di erent objects, students are enabled to present their own view on the
events they write about. Di erent relations between objects and events can result in di erent views
on events.</p>
      <p>Our second use case is aimed at facilitating experts in (art)historic research. For historical
research, these experts want access to all objects that are related to certain events. To them, Agora
platform may present an overview of objects and events a certain actor may be related to, and
thus aiding the researcher in his or her information gathering task. We may also help curators
to document new objects and add data to old ones, providing structured data by means of the
event-model.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Challenges</title>
      <p>Three domain challenges lie at the basis of our work: (1) sharing terminology, (2) understanding
the meaning of events, and (3) building a historical event thesaurus. Each of these challenges is
detailed below.</p>
      <sec id="sec-3-1">
        <title>Sharing terminology</title>
        <p>
          A clear de nition of the shared terminology is a prerequisite for successful multidisciplinary
collaboration. This need is particularly pressing within collaborative projects in the eld of cultural
heritage and computer science such as ours as each eld has di erent de nitions and theories about
shared concepts. Even our central concept, event, is treated di erently by the parties involved in our
project; in the history domain, the notion of an event has been de ned as \what agents make happen
or undergo"[
          <xref ref-type="bibr" rid="ref2">2</xref>
          ]. This has the implication that actions are a species of events. Furthermore, events
are concrete particulars. They are unrepeatable entities with a location in space and time[
          <xref ref-type="bibr" rid="ref3">3</xref>
          ]. Within
computational linguistics, the notion of event is often not de ned, and if de ned, the de nition is
mostly pragmatic and broad to ensure reusability across di erent domains. Another di erence is
that in computer science `event extraction' often does not stretch beyond the literal task of
identifying event labels, participants, locations and time stamps, whereas historians are interested in
the interpretation of events. Computer science also considers events mostly as separate entities,
whereas historians consider events in their connection with other events. The signi cance of an
event depends on this connection and is usually expressed in the form of a narrative[
          <xref ref-type="bibr" rid="ref4">4</xref>
          ]. Through
continual dialogue we are acknowledging the di erences in each other's dealing with shared concepts
and ensure that we have a stable middle-ground to work from.
        </p>
      </sec>
      <sec id="sec-3-2">
        <title>Understanding the meaning of events</title>
        <p>
          We are in the process of nding out what the notion of an event means for computer science and
for history, and how to incorporate both views in an event model. Although there is no consensus
on the de nition of event in computer science, most event modelling approaches share the
characteristic that they want to model: Who does what, where and when?. We take this as at least the
minimal requirement an event modelling approach should be able to express. Once a minimal event
de nition has been developed, we can start to think about modelling additional aspects that play a
role in our domain and are closely related to events, namely: granularity, interpretation, perspective,
and causality. We are currently investigating the use of the simple event model (SEM) to model
historical events[
          <xref ref-type="bibr" rid="ref5">5</xref>
          ]. SEM aims to provide the minimal set of classes to describe events, minimising
possible clashes between di erent domain-speci c event de nitions. It is designed to use external
type de nitions and has mappings to other models such as DOLCE12 and LODE13. We may also
borrow from other models such as F[
          <xref ref-type="bibr" rid="ref6">6</xref>
          ] for modelling causation and interpretation to extend SEM.
However, we do not make any commitments to a particular event model as we aim for a exible
approach in which we can switch to more speci c or general models when the need arises.
        </p>
      </sec>
      <sec id="sec-3-3">
        <title>Building a historical event thesaurus</title>
        <p>In order to build a historical event thesaurus, it is important to investigate how historical events are
referred to and how they relate to each other in the museum collections. This provides insights into
how museum collections are annotated. Next, we will try to model these events in such a way that
they can be used to provide better cross-collection access for diverse groups of users. We therefore
want the model to be rich enough to capture the intricacies of historical events, but exible enough
to ensure its understandability. The rst two steps should result in a thesaurus that can be used to
better support users in searching and browsing rich and heterogeneous museum collections.</p>
        <p>
          In addition, we identify three di erent types of technical challenges that come into play when one
wants to disclose museum collections: (1) information extraction and enrichment, (2) information
integration, and (3) user interface design. Fortunately, the information extraction, enrichment and
integration will not have to start from scratch, as the Rijksmuseum Amsterdam and Netherlands
Institute for Sound and Vision have linked their collections to existing domain-speci c vocabularies
12 http://www.loa-cnr.it/DOLCE.html
13 http://linkedevents.org/ontology/
and thesauri such as AAT14 and Iconclass15 but also to general vocabularies, such as WordNet[
          <xref ref-type="bibr" rid="ref7">7</xref>
          ].
For the user interface, we can build on previous work from the MultimediaN E-Culture project[
          <xref ref-type="bibr" rid="ref8">8</xref>
          ].
In the following subsections, we will rst discuss the two technical challenges and then our approach
to dealing with them. The issues that the event modelling and object- and event-driven collection
exploration requirements pose on the interface design depends on the outcomes of resolving the rst
two technical challenges and will be addressed in a later stage of the project.
3.1
        </p>
      </sec>
      <sec id="sec-3-4">
        <title>Information Extraction and Enrichment</title>
        <p>
          One of the biggest challenges is information extraction on historical events from di erent textual
data. We will start by identifying the `bigger' events that have been deemed important enough to
receive a proper name (e.g., French Revolution, Second World War ). As the behaviour of references
to this type of events is similar to other named entities, we are recasting the identi cation of
these event labels as an named entity recognition task[
          <xref ref-type="bibr" rid="ref9">9</xref>
          ]. In order to detect accompanying actors,
locations and temporal information and the relations between these, as well as smaller events that
do not have a proper name we will rst employ state of the art named entity and term recognition
techniques[
          <xref ref-type="bibr" rid="ref10">10</xref>
          ], followed by relation nding[
          <xref ref-type="bibr" rid="ref11">11</xref>
          ].
        </p>
        <p>
          Once we are able to detect references to events, we will need to identify which references belong
to distinct events, and which are a variation on the description of the same event. From manual
extraction from a small number of newspaper texts, we observed that by identifying time, locations
and participants of events and by de ning their relations with those of other events, are able to
relate historical events with each other. We are developing di erent matching functions to determine
what descriptions refer to the same historical events and test these in larger and more heterogeneous
corpora (consisting of e.g., collection catalogues, historical resources, and secondary literature). For
example, every description that involves the same type of event, the same participants, the same
location and the same time period is likely to refer to the same event. Another heuristic we are
investigating involves descriptions that abstract from any of those elements but that we can identify
as being semantically compatible which may indicate that these descriptions also refer to the same
event. Typically, we see that di erent descriptions add or leave out details of what happened or
group events into large happenings with bigger impact[
          <xref ref-type="bibr" rid="ref12">12</xref>
          ].
        </p>
        <p>By means of the event model, relations between speci c event descriptions and the more
general ones can be represented; also event presentations in uenced by writers' perspective towards
historical events can be recognised and captured. Eventually, we want to be able to maximise the
recall for nding events in text regardless of the description and secondly be able to infer added
subjectivity and interpretation layers to the events.
3.2</p>
      </sec>
      <sec id="sec-3-5">
        <title>Information Integration</title>
        <p>The RMA and S&amp;V collections represent di erent components of the Dutch cultural heritage. The
Rijksmuseum Amsterdam focusses on art, crafts and history. A large part of its one million object
collection consists of 17th century Dutch paintings. The Netherlands Institute for Sound and Vision
aims at preserving the Dutch audiovisual heritage. Its collection contains about 700,000 hours of
radio, television, movie and music material, of which most is less than fty years old. Although the
two collections are di erent in age and focus, there is a fair overlap in the topics they deal with
14 http://www.getty.edu/research/conducting_research/vocabularies/aat
15 http://www.iconclass.nl/
as the S&amp;V collection contains, for example, documentaries about events that are also depicted or
play a role in the RMA collection.</p>
        <p>
          In order to access these two collections simultaneously we rst need to align the collection
metadata schemas with each other (e.g., artist in the RMA collection database may correspond to creator
in the S&amp;V collection database). From previous experience in the MultimediaN E-Culture project
we have learnt that a good way to do this is to map both to an accepted metadata schema such as
Visual Resource Association core categories (VRA)16[
          <xref ref-type="bibr" rid="ref8">8</xref>
          ]. To consolidate the collection integration,
we also aim to map the values of the elds in the collection databases to a shared vocabulary[
          <xref ref-type="bibr" rid="ref13">13</xref>
          ]
or to other relevant external resources such as the Dutch Biography Portal17.
        </p>
        <p>
          The backbone of our event-driven and object-driven exploration method shall be based on
ClioPatria which provides a basis for collection exploration that combines searching and browsing[
          <xref ref-type="bibr" rid="ref14">14</xref>
          ]
4
        </p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Open Issues</title>
      <p>One of the most central open question in this work focusses on what are the recurring historical
events that can be traced, in the RMA and S&amp;V collections, based on documentations and
attributions of meaning and provenance; and how can we interpret the historical time-lines and narratives
that emerge from such a search, using semantics to derive and explain various views, biases,
contradictions, opinions and emotional reactions? Currently, in various types of historic documents
and collections, events are captured with a single interpretation or perspective. However, we aim
at allowing for multiple local, national, international, and personal perspectives on historical events
and their sequences. In this context we are in search for answers to the following questions:
{ how can events be placed in historical sequences, in the context of various collections that
address di erent past-relationships;
{ how to include di erent perspectives in individual events and in event narratives;
{ how to extract and model causal relations between events;
{ how to involve and motivate the end users in the process of collaborative editing of historical
event narratives</p>
      <p>Critical for the success of this research is to step upon previous experiences and analyse the
implicit historical event model that cultural institutions created by constructing their collections
and collection description (i.e., what do events mean to them and how are they represented?). It
is interesting to explore the past selection and interpretation processes in order to facilitate new
access to (enriched) cultural heritage data and to ultimately investigate how this digitally mediated
public history is related to current history writing.</p>
      <p>Finally, to allow for e ective deployment of the research results we need to specify the envisioned
role of a social cultural heritage platform for both the cultural heritage professionals and for the
well-informed or interested lay people; and to what extent this platform will be the main drive to
maintain the dynamics both in the shared historical thesaurus and the historical events descriptions
and their relationships.
16 http://www.vraweb.org/projects/vracore4/
17 http://www.biografischportaal.nl
Agora is funded by NWO in the CATCH programme and Semantics of History is funded by VU
University of Amsterdam's Interfaculty research institute CAMeRA.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Cohen</surname>
            ,
            <given-names>D.J.</given-names>
          </string-name>
          :
          <article-title>History and the second decade of the web</article-title>
          .
          <source>Rethinking History</source>
          <volume>8</volume>
          (
          <issue>2</issue>
          ) (
          <year>2004</year>
          )
          <volume>293</volume>
          {
          <fpage>301</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Ricoeur</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          :
          <article-title>Time and Narrative</article-title>
          . Volume
          <volume>1</volume>
          . Chicago and London (
          <year>1984</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Davidson</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          :
          <source>Essays on Action and Events</source>
          . Oxford (
          <year>1980</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Danto</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <source>Analytical Philosophy of History</source>
          . Cambridge (
          <year>1968</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5. van Hage,
          <string-name>
            <given-names>W.R.</given-names>
            ,
            <surname>Malaise</surname>
          </string-name>
          , V., de Vries, G.,
          <string-name>
            <surname>Schreiber</surname>
            , A.T., van Someren,
            <given-names>M.:</given-names>
          </string-name>
          <article-title>Combining ship trajectories and semantics with the simple event model (sem)</article-title>
          .
          <source>In: Proceedings of 1st ACM International Workshop on Events in Multimedia (EiMM09)</source>
          , Bejing, China,
          <source>ACM (October 23</source>
          <year>2009</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Scherp</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Franz</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Saatho</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Staab</surname>
            ,
            <given-names>S.:</given-names>
          </string-name>
          <article-title>F{a model of events based on the foundational ontology DOLCE+DnS ultralight</article-title>
          .
          <source>In: Proceedings The Fifth International Conference on Knowledge Capture (K-CAP</source>
          <year>2009</year>
          ), Redondo Beach, CA, USA, ACM (
          <year>2009</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Fellbaum</surname>
          </string-name>
          , C., ed.:
          <source>WordNet: An Electronic Lexical Database</source>
          . The MIT Press (
          <year>1998</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Schreiber</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Amin</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Aroyo</surname>
          </string-name>
          , L.,
          <string-name>
            <surname>van Assem</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>de Boer</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hardman</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hildebrand</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Omelayenko</surname>
          </string-name>
          , B.,
          <string-name>
            <surname>van Osenbruggen</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Tordai</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wielemaker</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wielinga</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          :
          <article-title>Semantic annotation and search of cultural-heritage collections: The MultimediaN E-Culture demonstrator</article-title>
          .
          <source>Journal of Web Semantics</source>
          <volume>6</volume>
          (
          <issue>4</issue>
          ) (
          <year>2008</year>
          )
          <volume>243</volume>
          {
          <fpage>249</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Sundheim</surname>
            ,
            <given-names>B.M.:</given-names>
          </string-name>
          <article-title>Overview of results of the muc-6 evaluation</article-title>
          . In
          <source>: Proceedings of the 6th conference on Message understanding</source>
          . (
          <year>1993</year>
          )
          <volume>13</volume>
          {
          <fpage>31</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Ratinov</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Roth</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          :
          <article-title>Design challenges and misconceptions in named entity recognition</article-title>
          .
          <source>In: Proceedings of Thirteenth Conference on Computational Natural Language Learning (CoNLL</source>
          <year>2009</year>
          ), Boulder, CO, USA (
          <year>2009</year>
          )
          <volume>147</volume>
          {
          <fpage>155</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Suchanek</surname>
            ,
            <given-names>F.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ifrim</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Weikum</surname>
          </string-name>
          , G.:
          <article-title>Combining linguistic and statistical analysis to extract relations from web documents</article-title>
          .
          <source>In: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining</source>
          , Philadelphia, PA, USA (
          <year>2006</year>
          )
          <volume>712</volume>
          {
          <fpage>717</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Cybulska</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vossen</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          :
          <article-title>Event models for historical perspectives: determining relations between high and low level events in text, based on the classi cation of time, location and participants</article-title>
          . In: To Appear
          <source>in: Proceedings of LREC</source>
          <year>2010</year>
          , Valletta, Malta (
          <year>2010</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13.
          <string-name>
            <surname>Tordai</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Omelayenko</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Schreiber</surname>
          </string-name>
          , G.:
          <article-title>Thesaurus and metadata alignment for a semantic e-culture application</article-title>
          .
          <source>In: Proceedings of the 4th international conference on Knowledge capture (K-CAP'07)</source>
          , Redondo Beach, CA, USA, ACM (
          <year>2007</year>
          )
          <volume>199</volume>
          {
          <fpage>200</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <surname>Wielemaker</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hildebrand</surname>
          </string-name>
          , M.,
          <string-name>
            <surname>van Ossenbruggen</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Schreiber</surname>
          </string-name>
          , G.:
          <article-title>Thesaurus-based search in large heterogeneous collections</article-title>
          .
          <source>In: The Semantic Web - ISWC'08</source>
          . Volume 5318 of LNCS.,
          <string-name>
            <surname>Tenerife</surname>
          </string-name>
          , Spain, Springer-Verlag (May
          <year>2008</year>
          )
          <volume>695</volume>
          {
          <fpage>708</fpage>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>