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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>3rd International Workshop on PErsonalization in eGOVernment and Smart Cities (PEGOV): Smart Services for Smart Territories</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Nikolaos Loutas</string-name>
          <email>nikolaos.loutas@pwc.be</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Fedelucio Narducci</string-name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Adegboyega Ojo</string-name>
          <email>adegboyega.ojo@deri.org</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Matteo Palmonari</string-name>
          <email>palmonari@disco.unimib.it</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Cecile Paris</string-name>
          <email>Cecile.Paris@csiro.au</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Giovanni Semeraro</string-name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>CSIRO</institution>
          ,
          <country country="AU">Australia</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Department of Informatics, Systems and Communication University of Milano-Bicocca</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Insight Centre for Data Analytics, National University of Ireland</institution>
          ,
          <addr-line>Galway</addr-line>
          ,
          <country country="IE">Ireland</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>PwC</institution>
          ,
          <country country="BE">Belgium</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>University of Bari \Aldo Moro"</institution>
          ,
          <country country="IT">Italy</country>
        </aff>
      </contrib-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Preface</title>
      <p>User modeling and personalization have been playing an important role in the
development of intelligent systems, whereby these systems adapt their behavior
based on knowledge about users. Such knowledge can include users
characteristics, interests and preferences, as well as locations or past behaviors. While
personalization has been extensively studied and employed in domains
characterized by the digital-object consumption (e-commerce, news, music, video
recommendations, etc.), personalization in eGovernment applications is still in
its infancy.</p>
      <p>
        e-Government (e-Gov) has transformed interactions between governments,
citizens and other stakeholders in the society. Public services and public sector
information can now be delivered electronically through Web portals and mobile
apps
        <xref ref-type="bibr" rid="ref5">(e.g., see Palmonari et al., 2008, Loutas et al., 2011, Lee et al., 2011,
Narducci et al., 2014)</xref>
        . In this new context, citizens are the intended users of
public services, thus innovative solutions better tailored to citizens' needs can
facilitate access to e-Gov services and reduce the red tape that often characterizes
the provisioning of public services
        <xref ref-type="bibr" rid="ref5">(e.g., Bianco et al., 2013, Bista et al., 2013,
Castelli et al., 2014)</xref>
        . It can also enable more targeted information to be delivered
to citizens (e.g., Colineau et al., 2013), or helps to overcome the language barrier
for accessing to public services in di erent countries (Narducci et al., 2013).
Finally, governments have also started to look at ways to better engage with
citizens, both for service delivery and for policy making (e.g., Lee et al., 2011).
As a result of these initiatives, providing personalized services, often grouped in
life-events and business episodes, is a real possibility now for governments.
      </p>
      <p>Another interesting development is the recent push towards more openness
of public sector information, with an emphasis on opening up government data
(Ojo et al., 2015), which presents new application areas and opportunities for
personalization. This trend has speci cally created the need for personalized
access to Open Government Data predominantly by means of visualizations and
faceted browsers. It has also given rise to opportunities for improved decision
making (e.g., Lee et al., 2011), as well as recommendation and personalization
of e-Gov services (e.g., Loutas et al., 2011, Baldassarre et al., 2013).</p>
      <p>
        This introduces new challenges for personalization models. On the one hand,
personalization can lead to better services and more relevant information. This is
seen as desirable, by both the public and governments, as it can improve service
delivery
        <xref ref-type="bibr" rid="ref4 ref5">(e.g., Colineau et al., 2013, Iaquinta et al., 2013, Penades et al., 2014,
Torsello et al., 2014, Vicente-Lopez et al., 2014)</xref>
        and participation to
decisionmaking processes
        <xref ref-type="bibr" rid="ref1 ref2 ref5">(e.g., Ardissono et al., 2013, Ardissono et al., 2014)</xref>
        . On the
other hand, there are potentially ethical (including privacy) issues related to the
fact that citizens might be in a dependence relationship with governments (e.g.,
Paris et al., 2013), and automatic user pro ling might be considered big brother
and not desirable.
      </p>
      <p>Personalization in the e-Gov domain is still fairly novel at least in production
systems, potentially because of the di culties to obtain some of the information
required for personalization, because of privacy, con dentiality, ethical and
potentially trust reasons.</p>
      <p>
        The main goal of this workshop is to stimulate the discussion around
problems, challenges and research directions about personalization in e-Gov. This
workshop builds on two previous PEGOV workshops at UMAP (2013 and 2014).
This year, we extended the scope of PEGOV to Smart Cities, as these also
provide new opportunities and new challenges
        <xref ref-type="bibr" rid="ref5 ref6">(e.g., Villena-Roman et al., 2014, Ojo
et al., 2015)</xref>
        . Smart Cities can have access to very detailed data about the
citizens, e.g., using urban sensing devices, which can support new personalization
models.
      </p>
      <p>Improving the quality of both life and services in the city have high relevance
in many research elds such as Social Sciences, Psychology, Education, Medicine,
and Computer Science. For these reasons Smart Cities are becoming a very
interesting topic for di erent conferences belonging to the ICT area. Di erent
aspects are generally analyzed. For example, the Semantic Smart Cities was
the subject of several recent workshops (the Semantic Cities workshop at AAAI
2012 and IJCAI 2013, the Semantic Smart City workshop at WIMS 2013, and
the Smart Semantic Cities workshop at AI*IA 2014). Other events analyzed
aspect such as the designing of Web Applications for Smart Cities (AW4CITY
at WWW2015), or the Web Data Science at the service of Smart Cities (Web
Data Science meets Smart Cities at WWW 2015). However, the personalization
aspect for designing, implementing and delivering personalized services for new
citizen-centered Smart Cities and Territories is not yet properly investigated in
the literature.</p>
      <p>The original topics of interest listed on the call for paper for the workshop
included:
{ Motivations, bene ts, and issues of personalization in e-Gov and Smart Cities
{ Approaches for the personalization of inclusive, personal and interactive
services to citizens
{ User and context awareness in personalization of services to the citizens
{ Multilingual services to citizens
{ Adaptation, personalization and recommendation models and goals in city
services
{ User, group and family modeling in e-Gov and Smart Cities
{ Mining of user behavior, opinion mining, and sentiment analysis in e-Gov
and Smart Citizens
{ Gami cation and Crowdsourcing for mining citizens pro les and opinions
{ Services for personalized access to (Linked) Open Government Data
{ Persistence, removal, and update of citizen pro les
{ Semantic techniques for user pro ling and personalization in e-Gov and</p>
      <p>Smart Cities
{ Ethical issues, including privacy, in e-Gov and Smart Cities
{ Usability of services to citizens
{ Evaluation of personalized services in e-Gov and Smart Cities
{ Applications of personalization methods in e-Gov and Smart Cities
{ Communities and social networks in participatory e-Gov and Smart Cities
{ Citizen-centered service design and modelling
{ E-health and Smart Health</p>
      <p>We accepted two short papers and one long paper. Each submission was
reviewed by at least two PC members (none of the chairs has been involved in
the review process). We are also pleased to have an invited speaker, Dr Edward
Curry, the leader of the Green and Sustainable IT research group at Digital
Enterprise Research Institute (DERI) in Ireland.</p>
      <p>One paper proposes a personalization model for e-government, a
personalized extended government model, to simplify and improve the e ectiveness
of e-government services. Another paper proposes a methodology for
personalized cultural information. Finally, the third paper presents an environment for
constraint-based recommender systems that could be use in e-government, for
example as an online advisory service for citizens.</p>
      <p>Edward Curry's invited talk is about Open Data Innovation in Smart Cities:
Challenges and Trends. Open Data initiatives are increasingly considered as
de ning elements of emerging smart cities. However, few studies have attempted
to provide a better understanding of the nature of this convergence and the
impact on both domains. The talk examines the challenges and trends with
open data initiatives using a socio-technical perspective of smart cities. The talk
presents ndings from a detailed study of 18 open data initiatives across ve
smart cities to identify emerging best practice. Three distinct waves of open data
innovation for smart cities are discussed. The talk details the speci c impacts
of open data innovation on the di erent smart cities domains, governance of the
cities, and the nature of datasets available in the open data ecosystem within
smart cities.</p>
      <p>We hope the workshop will stimulate discussion around problems, challenges
and research directions about personalization in governments and Smart Cities,
with a speci c focus on the design of personalized citizen-centered services and
the challenges that must be addressed.</p>
      <p>Some questions that motivate this workshop and that we hope we will be
discussed during the workshop:
1. Can personalization methods support the design of services and applications,
which better adapt to the di erent roles of citizens and companies?
2. Which user characteristics (demographic, cultural, family, etc.) can in
uence the design and delivery of personalized services for Smart Cities and
Territories?
3. How can citizens be involved in the design of adaptive service platforms in
di erent domains (e-gov, e-health, public services, etc.)?
4. Are the general techniques adopted for user modeling and pro ling in di
erent domains exploitable for modeling the citizen characteristics?
5. What services can be useful for a patient-empowered Smart Health?
6. How privacy and ethically issues a ect the feasibility of e ective
personalization methods in the Smart Environments?
7. Can semantic models and ontologies support the representation of
prototypical users in order to identify categories of citizens based on di erent
characteristics?
8. How can service personalization decrease the costs for public
administrations, increasing at the same time the value delivered to the citizen?
9. Would personalization methods be favorably accepted and desired by
citizens?
10. How can ethical issues (big brother) and privacy in uence the trust in
personalized services?</p>
      <sec id="sec-1-1">
        <title>This is an exciting eld full of opportunities.</title>
        <p>2</p>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>Workshop Chairs</title>
      <p>Nikolaos Loutas, PwC, Belgium.</p>
      <p>Nikolaos is manager at PwC's Technology Consulting practice, involved mainly
in projects on interoperability of trans-European ICT solutions, data and
software products. Nikolaos specialises in semantic aspects of interoperability, through
the application of Semantic Web technologies and Linked Data. He has deep
insights into open semantic standards, such as the Asset Description Metadata
Schema, the e-Government Core Vocabularies and the DCAT Application Pro le
for data portals in Europe. Nikolaos is currently driving the Open Data Support
project of DG CONNECT, which aims at facilitating the access of citizens and
business to Open Government Data published by governments across Europe.
Before joining PwC, Nikolaos had been working for leading EU research centers.
He has published more than 55 papers and reports in the eld of Semantic Web
in international journals, conferences and books.</p>
      <p>Fedelucio Narducci, SWAP Research Group, University of Bari Aldo Moro,
Italy
Fedelucio Narducci is research assistant at University of Bari Aldo Moro,
Department of Computer Science. and member of the SWAP (Semantic Web Access
and Personalization) research group. His primary research interests lie in the
areas of machine learning, content-based recommender systems, user modeling,
and personalization. From April 2012 he is working for the SMART (Services
&amp; Meta-services for smART eGovernment) project whose goal is to de ne
models, methodologies, languages for planning, production and delivery of services
characterized by optimal social value, value of use, and value of exchange. He
served as Co-chair of Pegov 2013. Fedelucio was reviewer and co-reviewer for
international conferences and journals on the topics of recommender system, user
modeling and personalization. He is also author of several papers in international
conferences and journals.</p>
      <p>Adegboyega Ojo, INSIGHT Center for Data Analytics, National
University of Ireland, Galway
Adegboyega Ojo is a Research Fellow and leads the E-Government Group at
The INSIGHT Center for Data Analytics, National University of Ireland,
Galway; Republic of Ireland. His research focuses on how to drive innovations in
government organizations through the applications of Semantic Web, Linked
Open Data and Collaboration technologies. His current portfolio of research and
development projects is funded under the Seventh Framework Programme of the
European Commission. Before his current role, he worked as Academic Program
O cer, Research Fellow and Post-doctoral Fellow at the Center for Electronic
Governance, United Nations University ? International Institute for Software
Technology (UNU). At UNU, his work bene tted several governments including
Macao, Korea, Mongolia, Colombia, Cameroon and Nigeria. He has published
widely in the areas of Strategies, Architecture and Standards, e-Participation,
Open Governance and Open Data. He obtained his PhD at the University of
Lagos, Nigeria (1998), where he was appointed Senior Lecturer and Associate
Professor in Computer Science in 2003 and 2012 respectively. He is also Adjunct
Lecturer at the National University of Ireland, Galway.</p>
      <sec id="sec-2-1">
        <title>Matteo Palmonari, University of Milano-Bicocca, Italy</title>
        <p>Matteo Palmonari is an assistant professor in the Department of Informatics,
Systems and Communication at the University of Milan-Bicocca. His research
interests include semantic matchmaking, information quality, knowledge
representation, and ontologies for the semantic web; several of his research have been
applied to service modeling, service matchmaking and e-Government
applications. He has been a visiting postdoc and a visiting assistant professor with the
ADVIS Laboratory, University of Illinois at Chicago. He has published more
than 40 papers in international journals and conferences.</p>
      </sec>
      <sec id="sec-2-2">
        <title>Cecile Paris, CSIRO, Computational Informatics, Australia</title>
        <p>Dr Cecile Paris is a Science Leader at CSIRO, Sydney, Australia, leading a
research group on Knowledge Discovery and Management. Dr Paris also holds
Adjunct Professorships at Macquarie University (Sydney) and the ANU (Australian
National University, Canberra, Australia). Dr Paris received her B.A. degree in
Computer Science from The University of California at Berkeley, USA, and her
Masters and PhD degrees from Columbia University, New York, USA. Her PhD
was one User Modeling and Natural Language Generation. Her main research
interests lie in the areas of personalized information delivery and language
technology. She has been involved in e-Government for over 5 years, and her current
work includes tailored delivery for Public Administration, online communities
and social media in the context of e-Government. Dr Paris co-organised the
workshop on Government and Citizen Engagement at the Communities and
Technology conference in 2011. In 2011, she was an invited speaker at the 2nd
(Australian) Public O cer Digital Media Forum, and at the 7th Annual AIMIA
Digital Summit (AIMIA is the Australian Interactive Media Association). She
was a keynote speaker at the (Australian) Emergency Management New and
Emerging Technologies Forum in October 2013 and at the National Medicine
Symposium in May 2014. Dr Paris has authored over 250 referred technical
articles at international journals and conferences. She is currently the chair of
CHISIG, the Computer Human Interaction Special Interest Group of the Human
Factors and Ergonomics Society of Australia.</p>
        <p>Giovanni Semeraro, SWAP Research Group, University of Bari Aldo Moro,
Italy
He is associate professor of computer science at the University of Bari Aldo
Moro and leads the Semantic Web Access and Personalization Research Group
Antonio Bello. His research interests include AI, recommender systems, user
modeling, personalization, intelligent information retrieval, semantic and social
computing, the Semantic Web, natural language processing, and machine
learning. He received his M.Sc. degree in computer science from the University of
Bari. He served as General Co-chair of UMAP 2013, IIR 2013, SemExp 2012,
IIR 2012, IIA 2008, AI*IA 2008, SWAP 2007, CILC 2006, and as Program
Cochair of RecSys 2015, IntRS@RecSys 2015 &amp; 2014, DeCAT@UMAP 2015,
PeGOV@UMAP 2014, Decisions@RecSys 2013 &amp; 2012, DART 2013, 2012 &amp; 2011,
RSmeetDB@DEXA 2013 &amp; 2012, SeRSy@RecSys 2013 &amp; SeRSy@ISWC 2012,
DEMRA@UMAP 2011, SPIM@ISWC 2011, EC-Web 2010, SWAP 2010, Web
Mining 2.0@ECML/PKDD 2007, ISMIS 2006, WebMine@ECML/PKDD 2006,
IEA-AIE 2005. He is co-author of more than 350 papers published in journals,
international conferences and workshops.
ization in eGovernment Services, Data and Applications, co-located with UMAP'14
(Vol. 1181). CEUR-WS.
3. Baldassarre, C., Cremaschi, M. &amp; Palmonari, M. (2013). Bridging the Gap
between Citizens and Local Administrations with Knowledge-Based Service Bundle
Recommendations. In Morvan, F., Tjoa, A.M., &amp; Wagner, R. (Eds.): 24th
International Workshop on Database and Expert Systems Applications, DEXA 2013.</p>
        <p>IEEE 2013: 157-161
4. Bianco, A., Campegiani, P., Forrester, J., Iaquinta, L., &amp; Torsello, M. A. (2013).</p>
        <p>SMART project: Industrial and Academic Collaboration for Service Design. In
PEGOV 2013: Personalization in eGovernment Services and Applications, co-located
with UMAP'13 (Vol. 997). CEUR-WS.
5. Bista, S. K., Nepal, S. &amp; Paris, C. (2013). The Human Touch of Government
Services. In PEGOV 2013: Personalization in eGovernment Services and Applications,
co-located with UMAP'13 (Vol. 997). CEUR-WS.
6. Castelli M., Comerio M., &amp; Cremaschi M. (2014). Towards the De nition of
Valueadded Services for Citizens: a New Model for the Description of Public
Administration Services. International Journal of Management &amp; Information Technology
4(1):166-173, 2013. ISSN 1460-6720.
7. Colineau, N., Paris, C. &amp; Vander Linden, K. (2013). Automatically Producing
Tailored Web Materials for Public Administration. In New Review of HyperMedia
and MultiMedia, 9(2): 158-181.
8. Iaquinta, L., Torsello, M. A., Comerio, M., Fanelli, A. M., &amp; Semeraro, G. (2013).</p>
        <p>User Segmentation in e-Government Services. In PEGOV 2013: Personalization
in eGovernment Services and Applications, co-located with UMAP'13 (Vol. 997).</p>
        <p>CEUR-WS.
9. Lee D., Loutas N., Sanchez Nielsen E., Mogulkoc E., &amp; Lacigova O. (2011).
InformConsult-Empower: A Three-tiered Approach to eParticipation. In Proceedings of
3rd ePart Conference, Delft, The Netherlands.
10. Loutas N., Peristeras V., &amp; Tarabanis K. (2011). A citizen-centric
semanticallyenhanced governmental portal. In Electronic Government, An International
Journal, vol. 8 (4), pp. 363-384.
11. Narducci F., Palmonari M., &amp; Semeraro G. (2014). Cross-Language Semantic
Retrieval and Linking of E-Gov Services. In The Semantic WebISWC 2013. Springer
Berlin Heidelberg, 2013, pp.130-145.
12. Narducci F., Palmonari M., &amp; Semeraro G. (2013). A Cross-language Semantic
Matching for Discovering Links to E-Gov Services in the LOD Cloud In KNOW@
LOD. 2013, pp. 21-32.
13. McCleary, R. (2007). Ethical Issues in Online Social Work Research. In Journal
of Social Work Values &amp; Ethics, Volume 4, Issue 1, pp.6-26.
14. Ojo, A., Curry, E., &amp; Zeleti, F. A. (2015). A Tale of Open Data Innovations in
Five Smart Cities. In System Sciences (HICSS), 2015 48th Hawaii International
Conference on (pp. 2326-2335). IEEE.
15. Palmonari, M., Viscusi, G. &amp; Batini., C. (2008). A semantic repository approach to
improve the government to business relationship. Data Knowl. Eng. 65(3): 485-511
(2008)
16. Paris, C., Colineau, N., Nepal, S., Bista, S. K., &amp; Beschorner, G. (2013). Ethical
considerations in an online community: the balancing act. In Ethics and
Information Technology. 15(4): 301-316.
17. Penads, M. C., Mart , P., Canos, J. H., &amp; Gmez, A. (2014). Product Line-based
customization of e-Government documents. In PEGOV 2014: Personalization in</p>
      </sec>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Ardissono</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Voghera</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Velluto</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          (
          <year>2013</year>
          ).
          <article-title>Selecting People for Involving Them in Participatory Decision-Making Processes</article-title>
          .
          <source>In PEGOV 2013: Personalization in eGovernment Services and Applications</source>
          , co-located
          <string-name>
            <surname>with</surname>
            <given-names>UMAP</given-names>
          </string-name>
          '
          <volume>13</volume>
          (Vol.
          <volume>997</volume>
          ).
          <article-title>CEUR-WS.</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Ardissono</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lucenteforte</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Savoca</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Voghera</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          (
          <year>2014</year>
          ).
          <article-title>Community Mapping for Participatory Decision-Making Processes</article-title>
          . In PEGOV 2014:
          <article-title>PersonaleGovernment Services, Data and Applications, co-located with UMAP'14</article-title>
          (Vol.
          <volume>1181</volume>
          ).
          <article-title>CEUR-WS.</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          18.
          <string-name>
            <surname>Peristeras</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Goudos</surname>
            ,
            <given-names>S. K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Loutas</surname>
            ,
            <given-names>N.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Tarabanis</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          (
          <year>2009</year>
          ).
          <article-title>Ontology-based search for eGovernment services using citizen pro le information</article-title>
          .
          <source>Journal of Web Engineering</source>
          ,
          <volume>8</volume>
          (
          <issue>3</issue>
          ),
          <fpage>245</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          19.
          <string-name>
            <surname>Torsello</surname>
            ,
            <given-names>M. A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Iaquinta</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Comerio</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          (
          <year>2014</year>
          ).
          <article-title>A Fuzzy Model for Service Value Assessment</article-title>
          . In PEGOV 2014:
          <article-title>Personalization in eGovernment Services, Data and Applications, co-located with UMAP'14</article-title>
          (Vol.
          <volume>1181</volume>
          ).
          <article-title>CEUR-WS.</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          20.
          <string-name>
            <surname>Vicente-Lopez</surname>
          </string-name>
          , E.,
          <string-name>
            <surname>de Campos</surname>
            ,
            <given-names>L. M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fernndez-Luna</surname>
            ,
            <given-names>J. M.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Huete</surname>
            ,
            <given-names>J. F.</given-names>
          </string-name>
          (
          <year>2014</year>
          ).
          <article-title>Personalization of parliamentary document retrieval using di erent user pro les</article-title>
          .
          <source>In PEGOV</source>
          <year>2014</year>
          :
          <article-title>Personalization in eGovernment Services, Data and Applications, co-located with UMAP'14</article-title>
          (Vol.
          <volume>1181</volume>
          ). CEUR-WS:
          <fpage>28</fpage>
          -
          <lpage>37</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          21.
          <string-name>
            <surname>Villena-Roman</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Luna-Cobos</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Gonzalez-Cristobal</surname>
            ,
            <given-names>J. C.</given-names>
          </string-name>
          (
          <year>2014</year>
          ).
          <article-title>TweetAlert: Semantic Analytics in Social Networks for Citizen Opinion Mining in the City of the Future</article-title>
          . In PEGOV 2014:
          <article-title>Personalization in eGovernment Services, Data and Applications, co-located with UMAP'14</article-title>
          (Vol.
          <volume>1181</volume>
          ). CEUR-WS:
          <fpage>7</fpage>
          -
          <lpage>11</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>