Web Data Processing & Reasoning (WDPAR 2018)

Workshop @ KI 2018

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International Workshop on
Web Data Processing & Reasoning (WDPAR 2018)
in conjunction with the 2018 KI Conference in Berlin, Germany
Call for Papers: txtUTF-8 txtASCII pdf

The International Workshop on Web Data Processing & Reasoning (WDPAR 2018)

In conjunction with KI 2018

Aims of the Workshop

The workshop on Web Data Processing and Reasoning (WDPAR) aims to provide a forum for scientists, researchers and practitioners to discuss and exchange ideas, new techniques, approaches and applications related to the web, e.g. approaches for and applications utilizing web data (i.e., data collected from the web, available in the web or being about the web), execution environments in the web and advanced web applications. A special focus of the workshop is on intelligent web data processing via reasoning for data exchange, data integration and advanced applications.

Types of Papers

The workshop solicits high-quality papers of different categories:

  • Research Papers propose new approaches, theories or techniques related to Web Data Processing and Reasoning including new data structures, algorithms and whole systems. They should make substantial theoretical and empirical contributions to the research field.

  • Experiments and Analysis Papers focus on the experimental evaluation of existing approaches including data structures and algorithms and bring new insights through the analysis of these experiments. Results of Experiments and Analysis Papers can be, for example, showing benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey.

  • Application Papers report new applications and practical experiences on applications related to the web. Application Papers might describe how to apply Web technologies to specific application domains with web-scale data demands like social networks, web search, e-business, collaborative environments, e-learning, medical informatics, bioinformatics and geographic information system. We especially welcome Application Papers describing applications utilizing reasoning about web data in a new way.

  • Vision Papers identify emerging or future research issues and directions, and describe new research visions for web data processing and reasoning. The new visions will potentially have great impacts on society.

Topics of Interest

Topics relevant to this workshop include, but are NOT limited to:

  • Optimization of Web Data Processing
  • Applications of Web Data
  • Reasoning on Web Data
  • Advanced and New Forms of Web Applications
  • Web Streams

    • Continuous Queries and Reasoning
    • Stream Pipelines
    • Fault-Tolerant Stream Processing
    • Optimized Processing of a web-scale number of queries

  • Semantic Web

    • Applications
    • Semantic Big Data
    • Reasoning
    • Semantic Data and Query Processing

  • Linked Data

    • Integration of Heterogeneous Linked Data
    • Real-World Applications
    • Statistics and Visualizations
    • Quality
    • Ranking Techniques
    • Provenance
    • Mining and Consuming Linked Data

  • Distributed Processing of Data in the Web

    • Distributed Reasoning
    • Distributed Rule Processing
    • Distributed Query Processing
    • Fault-Tolerant Processing

  • Processing of and Reasoning about Web Services

    • Orchestration
    • New protocols for web services

  • Rule Processing of Web Data
  • Evaluation of different Learning Approaches in the context of Web Data and Web Applications: unsupervised learning, supervised or reinforced learning, transfer learning, zero-shot learning, adversarial networks, and deep probabilistic models
  • Knowledge Representation and Retrieval of Web Data
  • Web Data exploration and visualization
  • Web Data Mining
  • Learning for Web Database Tuning and Web Query Optimization
  • Case studies of AI-Accelerated Web Workloads
  • Web Protocols and Standards
  • AI-Enabled Web Data Integration Strategies
  • Web Security and Privacy
  • Web Trust
  • Natural Language Processing for Web Applications

    • Queries and Chatbot Interfaces
    • Result Summarization

  • Evaluating Quality of Approximate Results from AI-Enabled Web Queries

Important Dates

Time Schedule
Submission (extended): June 25, 2018
Notification: July 9, 2018
Workshop: September 25, 2018

Diversity Considerations of the Program Committee

We have currently recruited 12 PC members and chairs listed below who are experts in the topics of interest of our workshop. The current PC members and chairs are selected from 6 nations all over the world as shown also by the map below. While most PC members are from academia, we have 2 experts also from industry (17%). 1 of the PC members and chairs are women (8%).

Legend

Program committee members and chairs: 1  5

Program Committee Chairs

Program Committee

  • Mithun Balakrishna, Lymba Corporation, USA
  • Tanya Braun, University of Lübeck, Germany
  • Josue Balandrano Coronel, The University of Texas at Austin, USA
  • Thomas Eisenbarth, University of Lübeck, Germany
  • Marcel Gehrke, University of Lübeck, Germany
  • Hasan Ali Khattak, Comsats Institute of Information Technology, Islamabad, Pakistan
  • Hariharan Krishnaswamy, DELL Technologies, USA
  • Gianfranco E. Modoni, National Research Council of Italy - Bari, Italy
  • Özgür L. Özçep, University of Lübeck, Germany
  • Nuno Silva, Instituto Superior de Engenharia do Porto, Portugal

Evaluation of Papers

To verify the originality of submissions, we will use Plagiarism Detection Tools to check the content of the submitted manuscripts against previous publications.

Papers will be evaluated according to the following aspects:

  • Relevance to the Workshop
  • Novelty and practical impact
  • Technical soundness
  • Appropriateness and adequacy of:
    • Literature review
    • Background discussion
    • Analysis of issues
  • Presentation, including:
    • Overall organization and structure
    • Correctness of English language
    • Readability

Accepted Papers

  • Miguel Ángel Garrido Blázquez, Paloma Cáceres García de Marina, Belén Vela Sánchez, Carlos E. Cuesta Quintero, José María Cavero Barca, Almudena Sierra-Alonso:
    Consuming Web Data in a Guiding App for Public Bus Users
    Publication
  • Peter Thomassen, Jan Benninger, Marian Margraf:
    Hijacking DNS Subdomains via Subzone Registration: A Case for Signed Zones
    Publication
  • Sven Groppe, Felix Kuhr, Mehmet Atilla Coskun:
    Anonymous Shopping in the Internet by Separation of Data
    Publication
  • Christophe Cruz, Cyril Nguyen Van, Laurent Gautier:
    Word embeddings for wine recommender system using experts and consumers vocabularies
    Publication
  • Sinan Babayigit, Sven Groppe:
    Webpage Ranking Analysis of various Search Engines with special focus on country-specific Search
    Publication

Program

Session 1 (Welcome, Keynote 1)

Time Type Description
9:00: welcome Workshop Chairs:
Short Welcome (First Edition of the Web Data Processing and Reasoning Workshop (WDPAR))
Editorial
9:05: keynote Adrian Paschke (Freie Universität Berlin):
Web Rule Standards for Knowledge Representation and Reasoning on the Web
Abstract: Web rule languages enable machine-interpretation, automated reasoning and translation into other Web languages, some of which also being the execution syntaxes of semantic rule engines and symbolic AI inference agents. Rule markup languages (RuleMLs) are the vehicle for using rules on the Web and in other distributed systems. They allow publishing, deploying, executing and communicating rules in a network. Rule markup (serialization) languages have been developed and standardized for the Web-based interchange of, e.g., norms and policies, business rules, and Semantic Web rules. Rules are central to knowledge representation for the Semantic Web side by side with linked data and ontologies in W3C's layered Semantic Web architecture. This talk will give an overview on the latest developments of RuleML standards including OASIS LegalRuleML, Reaction RuleML, and PSOA RuleML. As an example for their execution it will introduce an agent-based declarative reactive rule programming language and a component architecture that supports reasoning with rule-based agents, called Provalets, on the Web and in distributed systems for cloud and edge intelligence.
Bio: Prof. Dr. rer. nat. Adrian Paschke is director of the Data Analytics Center (DANA) at Fraunhofer FOKUS and since 2008 head of the Corporate Semantic Web group (AG-CSW) at the institute of computer science, department of mathematics and computer science at Freie Universität Berlin. He also is co-director of RuleML Inc. in Canada. He is active in the RuleML standardization at W3C, OMG, OASIS and co-editor of several standard specifications including W3C RIF, OASIS LegalRuleML, OMG API4KB, and Reaction RuleML. With over 150 peer-reviewed scientific publications he has made substantial scientific contributions to the development of the Corporate Semantic Web. Adrian was involved in multiple research, industrial, and open-source projects, such as the DBpedia German chapter, and he has helped to spin-off several successful, awarded companies at Freie Universität Berlin.
10:30: break Coffee Break

Session 2 (Web Security and Recommender Systems)

Time Type Description
11:00: paper Peter Thomassen, Jan Benninger, Marian Margraf:
Hijacking DNS Subdomains via Subzone Registration: A Case for Signed Zones
Publication
11:30: paper Sven Groppe, Felix Kuhr, Mehmet Atilla Coskun:
Anonymous Shopping in the Internet by Separation of Data
Publication
12:00: paper Christophe Cruz, Cyril Nguyen Van, Laurent Gautier:
Word embeddings for wine recommender system using experts and consumers vocabularies
Publication
12:30: lunch Lunch Break

Session 3 (Keynote 2)

Time Type Description
14:00: keynote Tilmann Rabl (TU Berlin):
Scaling Stream Processing Out and Up
Abstract: Fast analysis of data is becoming increasingly important in many domains. To process data incrementally and in real time, many applications are leveraging stream processing systems. At the same time, new data sources become available and affordable, which means scalable solutions are required. Current developments in stream processing systems therefore are built to scale to tens to hundreds of nodes. However, modern hardware architectures also provide massive scale-up potential. In this talk, we will give an overview on big data stream processing and will contrast scale-out to scale-up approaches. We will give details on the use of big data streaming systems using Apache Flink as an example. Apache Flink is an open source system for expressive, declarative, fast, and efficient data analysis on both batch and streaming data. Flink combines the scalability and programming flexibility of distributed MapReduce-like platforms with the efficiency, out-of-core execution, and query optimization capabilities found in parallel databases. Furthermore, we will introduce concepts of stream processing on modern hardware, thus realizing high performance stream processing on few powerful machines.
Bio: Tilmann Rabl is a visiting professor at the Database Systems and Information Management (DIMA) group. At DIMA he is research director and technical coordinator of the Berlin Big Data Center (BBDC). Tilmann received his PhD at the University of Passau in 2011. He spent 4 years at the University of Toronto as a postdoc in the Middleware Systems Research Group (MSRG). Tilmann has published more than 50 papers in international conferences and journals and gave numerous invited presentations. In his PhD thesis, Tilmann invented the Parallel Data Generation Framework (PDGF), for which he received the Transaction Performance Processing Council’s (TPC) Technical Contribution Award. In Toronto, he received a MITACS Award in 2013 and 2014 and an IBM CAS postdoctoral fellowship in 2013 and 2014. He is a professional affiliate of the TPC and co-founder and chair of the SPEC Research working group on big data. Tilmann is member of the steering committee of the Workshop on Big Data Benchmarking (WBDB) series and member of the board of directors of the BigData Top100 List. Tilmann is also CEO and cofounder of the startup bankmark, for which he acquired an EXIST award. bankmark has been awarded the IKT Innovativ Award 2014 and the Weconomy Award 2015 among others.
Slides
15:00: break Break

Session 4 (Web Applications and Search Engines)

Time Type Description
15:30: paper Miguel Ángel Garrido Blázquez, Paloma Cáceres García de Marina, Belén Vela Sánchez, Carlos E. Cuesta Quintero, José María Cavero Barca, Almudena Sierra-Alonso:
Consuming Web Data in a Guiding App for Public Bus Users
Publication
16:00: paper Sinan Babayigit, Sven Groppe:
Webpage Ranking Analysis of various Search Engines with special focus on country-specific Search
Publication
16:30: break End of Workshop

Manuscript Preparation

Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.

Accepted papers will be published online in the Open Journal of Web Technologies (OJWT). OJWT is an open access journal, and the proceedings will hence be highly visible to all interested readers.

Manuscripts should be submitted electronically as PDF files using this webpage and be formatted using the word or latex templates of the Open Journal of Web Technologies (OJWT). Research papers as well as experiments and analysis papers should have between 6 and 15 pages, application papers between 6 and 12 pages and vision papers between 4 and 12 pages.

It is expected that at least one author of an accepted paper registers to the workshop and presents the contributions. Additionally an open-access publication fee of 98 Euro (special rate) is to be paid for each accepted paper to the publisher of Open Journal of Web Technologies (OJWT).

Submission

The submission is currently closed. Please check our Important Dates page.

Contact Program Chairs

Please contact us for any further information:

Imprint

University of Lübeck

Institute of Information Systems (IFIS)
Ratzeburger Allee 160, Gebäude 64
D-23562 Lübeck
Germany

Web: http://www.ifis.uni-luebeck.de