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      <title-group>
        <article-title>Joint​ ​Proceedings​ ​of​ ​WSP​ ​2017​ ​and WOMoCoE​ ​2017</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Ontology Modularity</institution>
          ,
          <addr-line>Contextuality</addr-line>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2017</year>
      </pub-date>
      <abstract>
        <p>More and more applications require real-time processing of massive, dynamically generated, ordered data, where order is often an essential factor reflecting recency. Data stream management techniques provide reactive and reliable processing mechanisms over such data. Key to their success is the use of streaming algorithms that harness the natural or enforceable​ ​orders​ ​in​ ​the​ ​data. This trend started to be visible also in the Web, where an increasing number of streaming sources and datasets are becoming available. They originate from social networks, sensor networks, Internet of Things (IoT) and many other technologies that find in the Web a platform for sharing data. This is resulting in new Web-centric efforts such as the Web of Things, which studies how to expose and describe IoT using the Web, or the Social Web, which investigates protocols, vocabularies, and APIs to facilitate access to social functionality as part of the Web. In the Semantic Web context emerged efforts like Stream Reasoning and RDF Stream Processing. Stream Reasoning aims at combing data stream management and semantic technologies to perform reasoning over massive, heterogeneous and dynamic data;, while RDF Stream Processing studies the continuous query answering process​ ​over​ ​data​ ​streams​ ​modelled​ ​accordingly​ ​to​ ​the​ ​RDF​ ​model. The workshop put together such sub-communities to discuss and to investigate holistic processing models for streams over the Web, which consider the issues about publishing data streams on the Web as well as processing them with queries and inference processes. The event has contributed in the creation of an active community interested in integrating stream processing and reasoning by using methods inspired by data and knowledge management. In the Semantic Web and Linked Data, knowledge is rarely considered to be a monolithic and static entity. Instead, partitioning knowledge into distinct modular structures is central to organize knowledge bases, from the design of the latter to their creation, from their maintenance to their use in knowledge sharing. From a different perspective, representing and reasoning about a context with respect to knowledge in distinct modules is essential for</p>
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      <title>-</title>
      <p>the correct exploitation knowledge bases, and for reliable and effective reasoning in
changing situations. Finally, evolution of knowledge resources, in terms of updates by newly
acquired knowledge, is an important factor ensuring that over time stored knowledge
remains​ ​meaningful.</p>
      <p>The 2nd International Workshop on Ontology Modularity, Contextuality, and Evolution
(WOMoCoE 2017) provided a forum for practitioners and researchers to discuss current
trends in modularity, contextuality, and evolution of knowledge resources. The workshop
aimed at bringing together an interdisciplinary audience that is interested in its topics both
from​ ​a​ ​theoretical,​ ​formal​ ​point​ ​of​ ​view​ ​but​ ​as​ ​well​ ​from​ ​an​ ​application-oriented​ ​perspective.
WOMoCoE 2017 attracted 5 submissions. Each submission was reviewed by at least three
members of the Program Committee, and 4 were accepted for oral presentation at the
workshop and are included in this volume. The workshop also featured an invited talk by
Pascal​ ​Hitzler.</p>
      <p>Acknowledgments
These​ ​workshops​ ​have​ ​been​ ​possible​ ​thanks​ ​to​ ​the​ ​effort​ ​of​ ​several​ ​people.​ ​In​ ​particular,​ ​we
warmly​ ​thank​ ​the​ ​authors​ ​of​ ​the​ ​submitted​ ​papers,​ ​which​ ​contributed​ ​with​ ​new​ ​ideas​ ​and
results​ ​to​ ​the​ ​two​ ​events.​ ​The​ ​WOMoCoE​ ​2017​ ​co-chairs​ ​would​ ​also​ ​like​ ​to​ ​thank​ ​the
keynote​ ​speaker,​ ​Pascal​ ​Hitzler.​ ​Finally,​ ​we​ ​thank​ ​the​ ​ISWC​ ​organisers,​ ​and​ ​in​ ​particular
Aidan​ ​Hogan​ ​and​ ​Valentina​ ​Presutti​ ​for​ ​the​ ​constant​ ​help​ ​and​ ​support.</p>
    </sec>
    <sec id="sec-2">
      <title>Daniele​ ​Dell’Aglio</title>
      <p>Darko​ ​Anicic</p>
      <p>Payam​ ​Barnaghi</p>
      <p>Emanuele​ ​Della​ ​Valle
Deborah​ ​L.​ ​McGuinness</p>
    </sec>
    <sec id="sec-3">
      <title>Loris​ ​Bozzato Thomas​ ​Eiter Martin​ ​Homola Daniele​ ​Porello</title>
      <p>Web​ ​Stream​ ​Processing​ ​workshop​ ​2017</p>
    </sec>
    <sec id="sec-4">
      <title>News​ ​on​ ​Temporal​ ​Conjunctive​ ​Queries</title>
      <p>Veronika​ ​Thost
Detecting​ ​Mobility​ ​Patterns​ ​using​ ​Spatial​ ​Query​ ​Answering​ ​over​ ​Streams
Thomas​ ​Eiter,​ ​Josiane​ ​Xavier​ ​Parreira,​ ​Patrik​ ​Schneider
Lost​ ​Silence:​ ​An​ ​Emergency​ ​Response​ ​Early​ ​Detection​ ​Service​ ​through​ ​Continuous
Processing​ ​of​ ​Telecommunication​ ​Data​ ​Streams
Qianru​ ​Zhou,​ ​Stephen​ ​McLaughlin,​ ​Alasdair​ ​Gray,​ ​Shangbin​ ​Wu,​ ​Chengxiang​ ​Wang
Challenges​ ​&amp;​ ​Opportunities​ ​of​ ​RSP-QL​ ​Implementations
Riccardo​ ​Tommasini,​ ​Emanuele​ ​Della​ ​Valle
StreamConnect:​ ​Ingesting​ ​Historic​ ​and​ ​Real-Time​ ​Data​ ​into​ ​Unified​ ​Streaming
Architectures
Philipp​ ​Zehnder,​ ​Dominik​ ​Riemer</p>
    </sec>
    <sec id="sec-5">
      <title>Linked​ ​Data​ ​Notifications​ ​for​ ​RDF​ ​Streams</title>
      <p>Jean-Paul​ ​Calbimonte
Ontology​ ​Modularity,​ ​Contextuality,​ ​and​ ​Evolution
Contextualizing​ ​DL​ ​axioms:​ ​formalization,​ ​a​ ​new​ ​approach,​ ​and​ ​its​ ​properties
Antoine​ ​Zimmermann,​ ​José​ ​M.​ ​Giménez-García
A​ ​Unified​ ​Semantic​ ​Ontology​ ​for​ ​Energy​ ​Management​ ​Applications
Javier​ ​Cuenca,​ ​Félix​ ​Larrinaga,​ ​Edward​ ​Curry
Towards​ ​Contextualized​ ​Rule​ ​Repositories​ ​for​ ​the​ ​Semantic​ ​Web
Felix​ ​Burgstaller,​ ​Christoph​ ​Schütz,​ ​Bernd​ ​Neumayr,​ ​Dieter​ ​Steiner,​ ​Michael​ ​Schrefl
Mapping​ ​Repair​ ​in​ ​Ontology-based​ ​Data​ ​Access​ ​Evolving​ ​Systems​ ​(Extended
Abstract)
Domenico​ ​Lembo,​ ​Riccardo​ ​Rosati,​ ​Valerio​ ​Santarelli,​ ​Domenico​ ​Fabio​ ​Savo,
Evgenij​ ​Thorstensen
● Jean-Paul​ ​Calbimonte,​ ​University​ ​of​ ​Applied​ ​Sciences​ ​and​ ​Arts​ ​Western​ ​Switzerland</p>
      <p>HES-SO,​ ​Switzerland
● Oscar​ ​Corcho,​ ​Universidad​ ​Politécnica​ ​de​ ​Madrid,​ ​Spain
● Alasdair​ ​Gray,​ ​Heriot-Watt​ ​University,​ ​United​ ​Kingdom
● Danh​ ​Le​ ​Phuoc,​ ​TU​ ​Berlin,​ ​Germany
● Alessandro​ ​Margara,​ ​Politecnico​ ​di​ ​Milano,​ ​Italy
● Josiane​ ​Xavier​ ​Parreira,​ ​SIEMENS​ ​AG,​ ​Austria
● Patrik​ ​Schneider,​ ​TU​ ​Vienna​ ​and​ ​SIEMENS​ ​AG,​ ​Austria
● Kia​ ​Teymourian,​ ​Rice​ ​University,​ ​USA
● Riccardo​ ​Tommasini,​ ​Politecnico​ ​di​ ​Milano,​ ​Italy
● Jacopo​ ​Urbani,​ ​Vrije​ ​Universiteit​ ​Amsterdam,​ ​The​ ​Netherlands
● Guohui​ ​Xiao,​ ​Free​ ​University​ ​of​ ​Bozen-Bolzano,​ ​Italy
● Grigoris​ ​Antoniou,​ ​University​ ​of​ ​Huddersfield,​ ​United​ ​Kingdom
● Eva​ ​Blomqvist,​ ​Linköping​ ​University,​ ​Sweden
● Stefano​ ​Borgo,​ ​STC-CNR,​ ​Trento,​ ​Italy
● Valeria​ ​De​ ​Paiva,​ ​University​ ​of​ ​Birmingham,​ ​United​ ​Kingdom
● Chiara​ ​Del​ ​Vescovo,​ ​British​ ​Broadcasting​ ​Corporation,​ ​United​ ​Kingdom
● Javier​ ​D.​ ​Fernández,​ ​WU​ ​Vienna,​ ​Austria
● Adila​ ​A.​ ​Krisnadhi,​ ​Wright​ ​State​ ​University,​ ​USA​ ​&amp;​ ​Universitas​ ​Indonesia,​ ​Indonesia
● Oliver​ ​Kutz,​ ​Free​ ​University​ ​of​ ​Bozen-Bolzano,​ ​Italy
● Vincenzo​ ​Maltese,​ ​University​ ​of​ ​Trento,​ ​Italy
● Francisco​ ​Martin-Recuerda,​ ​DNV​ ​GL,​ ​Norway
● Till​ ​Mossakowski,​ ​University​ ​of​ ​Magdeburg,​ ​Germany
● Thomas​ ​Schneider,​ ​University​ ​of​ ​Bremen,​ ​Germany
● Luciano​ ​Serafini,​ ​Fondazione​ ​Bruno​ ​Kessler,​ ​Trento,​ ​Italy
● Vojtech​ ​Svátek,​ ​University​ ​of​ ​Economics​ ​Prague,​ ​Czech​ ​Republic
● Jürgen​ ​Umbrich,​ ​WU​ ​Vienna,​ ​Austria
● George​ ​Vouros,​ ​University​ ​of​ ​Piraeus,​ ​Greece</p>
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