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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>The Río de la Plata Ontology Group</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Regina Motz</string-name>
          <email>rmotz@fing.edu.uy</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Alicia Díaz</string-name>
          <email>alicia.diaz@lifia.info.unlp.edu.ar</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>InCo, Facultad de Ingeniería, Universidad de la República</institution>
          ,
          <country country="UY">Uruguay</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>LIFIA, Facultad de Informática, Universidad Nacional de La Plata</institution>
          ,
          <country country="AR">Argentina</country>
        </aff>
      </contrib-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1 Research Statement</title>
      <p>Ontologies are generally used to specify and communicate domain knowledge in a
generic way. While in a formal sense "ontology" means study of concepts, the word
"ontology" can be used as a concept repository about a particular area of interest. In
the Computer Science area there is a well establish definition of Ontology, provided
by Tom Gruber, as a formal, explicit specification of a shared conceptualization.
Ontologies are very useful for structuring and defining the meaning of the metadata
terms that are collected inside a domain community. They are a popular research topic
in knowledge engineering, natural language processing, databases, intelligent
information integration and multi-agent systems. Ontologies are also applied in the
World Wide Web community where they provide the ability for making the semantics
of metadata machine understandable. This vision refers also to an ontology as a
conceptual model of the reality.</p>
      <p>Nowadays, autonomously developed ontologies emerge quite naturally in different
domains (health, tourism, learning, quality of services, etc.). These ontologies, each
one built for different purpose, are used together in complex applications. However,
how they are combined is usually hidden in the application code. The lack of an
approach for explicitly expressing the way how ontologies are combined for a specific
purpose, leads to think on ontology networks as a new ontology engineering concept.
Currently, new approaches emerge and consider the building of ontology networks as
a new development paradigm, based on the reuse and re-engineering of knowledge
resources, as well as the collaborative and argumentative ontology development. This
ontology network paradigm is being increasingly applied, instead of custom-building
new ontologies from scratch.</p>
      <p>This problem has been identified as an interest topic since several years as it has
been shown by the WoMO (Workshop of Modular Ontology) community, who states
that: “constructing large ontologies typically requires collaboration among multiple
individuals or groups with expertise in specific areas, with each participant
contributing only a part of the ontology. Therefore, instead of a single, centralized
ontology, in most domains, there are multiple distributed ontologies covering parts of
the domain. Because no single ontology can meet the needs of all users under every
conceivable scenario, the ontology that meets the needs of a user or a group of users
needs to be assembled from several independently developed ontology modules. Thus,
in realistic applications, it is often desirable to logically integrate different
ontologies, wholly or in part, into a single, reconciled ontology. Ideally, one would
expect the individual ontologies to be developed as independently as possible from the
rest, and the final reconciliation to be seamless and free from unexpected results. This
would allow for the modular design of large ontologies and would facilitate
knowledge reuse. Few ontology development tools, however, provide any support for
integration, and there has been relatively little study of the problem at a fundamental
level”.</p>
      <p>Key aspects of this task are the quality design of these networked ontologies and
the complete understanding of the theory underlining them in order to allow the
development of a new generation of complex systems, which can make the most of
the availability of reusable semantic resources.</p>
      <p>An ontology network differs from a set of interconnected single ontologies, due to
in an ontology network the meta-relationships among the different ontologies
involved are explicitly expressed.</p>
      <p>The design of ontology networks which modelling complex systems requires
specific considerations. It is not only important to formally expressing the
correspondences between the networked ontologies but also to have a theoretical
approach that assures the coherence and consistency of the whole ontology network
specification, such that the new knowledge inferred in the ontology network does not
result in semantic contradictions with the set of axioms of each ontology.
1.1</p>
      <p>List of the research topics pursued by the group:
1) Networked Ontologies
2) Ontology-based Multiple Domain Application Design
a) Semantic Recommender System
b) Educational Information Systems
c) Semantic Interoperability of Health Information Systems
d) Ontology-based methodology for conceptual DW Design
3) Collaborative Ontology Development
a) Personal Semantic Information Management in Semantic Wikis
b) Semantic Information Refactoring in Semantic Wikis</p>
    </sec>
    <sec id="sec-2">
      <title>2 Brief History of the TANGO Group</title>
      <p>The development of complex information systems, especially those involving
autonomous and heterogeneous data sources, requires specification of metadata at
descriptive and operational level, to guide their maintenance and evolution. Special
cases of these systems are recommender systems, semantic web applications,
elearning, e-health and decision support systems.</p>
      <p>
        First works around these subjects at InCo has been conducted by Regina Motz
since 2004. The initial goals were the design and use of ontologies for information
extraction from the web [
        <xref ref-type="bibr" rid="ref1 ref2 ref3 ref4 ref5">1-5</xref>
        ] and for modeling metadata quality in e-learning [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ].
Then the focus has been on its use in decisional systems [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], adaptive systems [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] and
personalization [
        <xref ref-type="bibr" rid="ref10 ref9">9,10</xref>
        ].
      </p>
      <p>
        One approach has been the analysis of theoretical problems for the use of
ontologies in the acquisition and administration of the quality factors of the sources of
a web data warehouse [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. On the other hand, this approach has been complemented
by the development of an ontology based methodology to assist the conceptual design
of Data Warehouses [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ].
      </p>
      <p>
        In the generic scenario of exploitation of ontologies to ensure adaptive information
systems, the work has been concentrated in the reuse of ontologies for managing
changes in the components of a system. In this sense, a relevant topic has been the
study of the use of ontologies, specifically OWL-S, for semantic web service
discovery [
        <xref ref-type="bibr" rid="ref13 ref14">13, 14</xref>
        ].
      </p>
      <p>
        In parallel, works at LIFIA group, conducted by Alicia Díaz focus on the
collaborative development of ontologies. Some results in these areas are: (i)
CoProtégé [
        <xref ref-type="bibr" rid="ref15 ref16">15, 16</xref>
        ], an extension of Protégé to support the collaborative development of
ontologies, (ii) considering the ontology development as a collaborative knowledge
building process [
        <xref ref-type="bibr" rid="ref17 ref18 ref19">17-19</xref>
        ]; and refactoring of ontologies [
        <xref ref-type="bibr" rid="ref20">20</xref>
        ]. Last two topics are study
in the context of semantic wikis. In (ii), the research focuses on study how ontology
emerges as result of the adding of semantic annotation of wiki pages by a community
and how personal information management can be supported. In (iii), a software
engineering approach it is follow to improve the collaborative design of a ontology
underlined in a semantic wikis. In this work was developed a catalog of “bad smells”
that can be automatically detected in the underlined ontology in a semantic wiki, and
a catalog of “refactoring” to fix the bad smells. Both (ii) and (iii) are developed in the
context of Semantic MediaWiki.
      </p>
      <p>
        Since the confluence of both groups at the CYTED-SALUS project [
        <xref ref-type="bibr" rid="ref21 ref22">21, 22</xref>
        ], they
begin to work together focusing on the theoretical aspects of ontology networks
applied to recommender systems [
        <xref ref-type="bibr" rid="ref23">23</xref>
        ].
      </p>
      <p>One of the main objectives of the TANGO group is the development of
recommender systems based on ontologies that are sensitive to the context of social
personal recommendation. At the same time, it is of great interest that these
recommendations provide tools for reasoning about the recommendation criteria and
to easily visualize and track the recommendation.</p>
      <p>
        To achieve these goals, there are two case studies that are being studied: the health
website recommendations [
        <xref ref-type="bibr" rid="ref24">24</xref>
        ] and a semantic educational recommender system [
        <xref ref-type="bibr" rid="ref25">25</xref>
        ].
      </p>
      <p>
        Meanwhile, a key subject is the formalization of relationships among the
networked ontologies. A primary step in this direction has been published in [
        <xref ref-type="bibr" rid="ref26">26</xref>
        ]. The
main characteristics of an ontology network design are discussed in the works [
        <xref ref-type="bibr" rid="ref27 ref28">27,
28</xref>
        ] while aspects of the scope of ontologies and reasoning rules for maintaining
consistency of the system are presented in [
        <xref ref-type="bibr" rid="ref29 ref30">29, 30</xref>
        ].
      </p>
    </sec>
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