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          <string-name>Preface</string-name>
        </contrib>
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      <pub-date>
        <year>2015</year>
      </pub-date>
      <abstract>
        <p>Proceedings of the 1st Workshop on High-Level Declarative Stream Processing</p>
      </abstract>
    </article-meta>
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      <title>-</title>
      <p>Stream processing as an information processing paradigm appears in various applications and has
been investigated by various research communities within computer science. Next to algorithmic
oriented research on low-level stream processing (e.g., for sensor networks), stream-related
research of recent years resulted also in declarative stream processing frameworks, which are in the
focus HiDeSt '15. Declarative stream processing frameworks such as data stream management
systems or systems for complex event processing (CEP) provide amongst other things stream
query languages with a clear-cut semantics.</p>
      <p>The progress of technologies and computer science as a whole has brought up new challenges
for stream processing that call for the modeling of knowledge and the construction of query
engines which account for the knowledge. In ontology-based streams access (OBSA) as needed,
e.g., in Semantic Web, queries are answered over data streams that contain declarative
assertions with symbols from an ontology. Query answering now has to incorporate reasoning over
the ontology in order to guarantee completeness of the set of answers. Also context-aware
reasoning for streams or CEP have to incorporate some form of reasoning in order to deal with the
consequences that the context/entity models have for the set of query answers.</p>
      <p>All of the papers of the HiDeSt '15 proceedings (5 long papers, 1 short paper) contribute to
results in high-level declarative stream processing.</p>
      <p>The paper \Towards Enriching CQELS with Complex Event Processing and Path Navigation"
by Minh Dao-Tran and Danh Le-Phuoc describes extensions of the stream query language CQELS
in two directions: adding RDFS stream reasoning support and adding query constructors known
from CEP (in particular a constructor for path queries which support a limited kind of recursion).</p>
      <p>The paper entitled \Towards Comparing RDF Stream Processing Semantics" by Minh
DaoTran, Harald Beck and Thomas Eiter compares the semantics of two query languages for RDF
streams, the above mentioned CQELS and C-SPARQL. The comparison is done by a translation
into a logical framework (LARS) developed by the authors.</p>
      <p>Whereas both papers above deal with light-weight ontology languages as provided by RDFS,
the paper \Dealing E ciently with Ontology-Enhanced Linked Data for Multimedia" by Oliver
Gries, Ralf Moller, Anahita Na ssi, Maurice Rosenfeld, Kamil Sokolski, and Sebastian Wandelt
incorporates (e cient) reasoning over streams w.r.t. expressive ontologies. The authors describe
an approach|developed in the CASAM project|for abductive interpretation of semantically
annotated video streams.</p>
      <p>Both papers by Ralf Moller, Christian Neuenstadt, and O zgur L. O zcep (\Stream-temporal
Querying with Ontologies" and \OBDA for Temporal Querying and Streams") contribute to
OBSA, describing the architecture and evaluations os stream engines based based on the query
language framework STARQL. The former describes an engine using a transformation via
Datalog, whereas the latter describes in detail a transformation algorithm adapted from database
theory.</p>
      <p>The paper \Towards Temporal Fuzzy Query Answering on Stream-based Data" by
AnniYasmin Turhan and Erik Zenker can be considered as a contribution to OBSA too. They authors
provide a pragmatical approach for answering conjunctive queries extended with temporal
operators where the background ontology is formulated in a fuzzy DL-Lite ontology and where the
stream of data is a (potentially growing) nite sequenced of data sets (ABoxes).</p>
      <p>In addition to the main program, we invited a keynote from the data stream management
community. Marco Grawunder will introduce \Odysseus { An Extensible Research Platform
for Streaming", an open source platform that can serve as basis for future works on high-level
declarative stream reasoning research.</p>
      <p>We thank all authors for their contributions, our reviewers for their detailed and timely
reviews and look forward to interesting and fruitful discussions at the workshop.</p>
    </sec>
    <sec id="sec-2">
      <title>September 2015</title>
      <p>Daniela Nicklas, O zgur L. O zcep
(Program Chairs)</p>
      <sec id="sec-2-1">
        <title>Chairs</title>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Daniela Nicklas</title>
      <p>O zgur L. O zcep</p>
      <sec id="sec-3-1">
        <title>Program</title>
      </sec>
      <sec id="sec-3-2">
        <title>Committee</title>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Martin Bauer</title>
      <p>Jean-Paul Calbimonte</p>
    </sec>
    <sec id="sec-5">
      <title>University of Bamberg, Germany University of Lubeck, Germany</title>
    </sec>
    <sec id="sec-6">
      <title>NEC Heidelberg, Germany</title>
      <p>Ecole Polytechnique Federale de Lausanne,
Switzerland
University of Lubeck, Germany
University of Oxford, UK
Athens University of Economics and Business,
Greece
Fraunhofer ISST, Dortmund, Germany
Universit degli Studi di Milano, Italy
University of Bamberg, Germany
University of Applied Sciences, Dusseldorf
University of Stuttgart, IPVS/AS</p>
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