Workshops


The 2017 organization of the International Conference on Theory and Practice of Digital Libraries Conference will be holding a number of additional, to the main conference, workshops to areas of special interest to the topics of the Conference.

  • 17th European Networked Knowledge Organization Systems (NKOS) Workshop

    Description

    The 17th NKOS workshop at TPDL2017 will explore the potential of Knowledge Organization Systems, such as classification systems, taxonomies, thesauri, ontologies, and lexical databases in the context of current developments and possibilities. These tools help to model the underlying semantic structure of a domain for purposes of information retrieval, knowledge discovery, language engineering, and the semantic web. The workshop provides an opportunity to discuss projects, research and development activities, evaluation approaches, lessons learned, and research findings.

    Main workshop themes

    • KOS Alignment. KOS alignment or terminology mapping plays a vital role in NKOS for many years. This year we want to sort out the needs (use cases) of KOS alignments in the new environment of Linked Open Data. We plan to collect methodologies, best practices, guidelines and tools. This includes manual and automatic alignments.
    • KOS Linked Open Data. Recent years have seen an increasing trend to publication of KOS as Linked Data vocabularies. We need discussion of practical initiatives to link between congruent vocabularies and provide effective web services and APIs so that applications can build upon them.
    • KOS and Document Retrieval. Documents or parts of documents are nowadays not only accessible via their metadata but their abstracts and in many cases the full texts are electronically available. Thus, these documents also can be found by search engines. Given this possibility of full text search the role of classification and annotation has to be redefined. Questions like the following ones arise: can traditional knowledge organization and document annotation improve full text retrieval? Are classification, categorisation, annotation, tagging, and full text retrieval complementary, or how can they be made complementary? What should be the focus of annotation, if full text retrieval is available?

     

    Important dates

    • Submission deadline: June 19, 2017
    • Notification of acceptance: July 19, 2017
    • Camera-ready contributions: September 08, 2017
    • Workshop: September 21, 2017

     

    Chairs and Committees

    Philipp Mayr (primary contact)
    GESIS – Leibniz Institute for the Social Sciences
    Unter Sachsenhausen 6-8, 50667
    Cologne, Germany
    philipp.mayr@gesis.org
    http://www.ib.hu-berlin.de/~mayr/

    Douglas Tudhope
    Hypermedia Research Group
    Faculty of Computing, Engineering and Science
    University of South Wales
    Pontypridd, CF37 1DL, UK
    douglas.tudhope@southwales.ac.uk
    http://hypermedia.research.southwales.ac.uk/kos/

    Koraljka Golub
    Department of Library and Information Science
    School of Cultural Sciences,
    Faculty of Arts and Humanities
    Linnaeus University
    351 95 Växjö, Sweden
    Koraljka.golub@lnu.se
    http://koraljka.info

    Christian Wartena
    Hochschule Hannover
    Abteilung Information und Kommunikation,
    Expo Plaza 12
    30539 Hannover, Germany
    christian.wartena@hs-hannover.de
    http://f3.hs-hannover.de/personen/lehrende/wartena/

    Ernesto William De Luca
    Georg-Eckert-Institut – Leibniz-Institut für internationale Schulbuchforschung
    Celler Str. 3
    38114 Braunschweig, Germany
    deluca@gei.de
    http://www.gei.de/en/staff/prof-dr-ing-ernesto-william-de-luca.html

    Webpage link
    https://at-web1.comp.glam.ac.uk/pages/research/hypermedia/nkos/nkos2017/

  • (meta)-data quality workshop

    Description

    It is well known that we are rapidly moving towards a data driven world where all aspects in our everyday lives are data driven. In all domains from healthcare to retail and finance, data is collected, analysed and used to make decisions, usually utilizing machine learning techniques.

    Data Science involves collecting, cleansing and integrating data prior of analysis. The quality of this data is critical and directly affects the outcome of all data science related tasks. Moreover, metadata is used to annotate data and facilitate data organization and retrieval. Metadata quality also directly affects retrieval and other operations (such as data integration) and workflows that are metadata driven.

    Although various metrics have been proposed to measure metadata and data quality, in most cases they are highly subjective and/or domain specific. Moreover, they are directly related to the intended use of the data, meaning that a dataset could be of high quality for one use and of low quality for another. In all cases, (meta)data quality has a tremendous impact on data science related tasks and ultimately in everyday life.

    The proposed workshop aims at exploring the various quality issues found in people working with both data and metadata across domains. An inter-disciplinary workshop where data scientists across different domains will meet and:

    • share and exchange experiences regarding (meta)data quality
    • identify patterns in (meta)data quality
    • share methodologies and metrics that will help to measure (meta)-data quality
    • share / propose tools that can be used effectively in improving (automatically) (meta)-data quality.

     

    This initiative aims at bringing together a community of data scientists that have expertise in a diverse set of domains such as archives and libraries, healthcare, biology, humanities, computer science and engineering, environment, agriculture, economics, etc.

    Apart from sharing metrics and methods to identify and resolve quality issues and evaluate datasets, the proposed workshop aims at promoting the use of tools and services for the automatic measurement and improvement of (meta)data quality. Although few such tools are available in the market, a good number of standalone micro-services are available and can be used to automatically improve (meta)data quality.

    Main workshop themes

    We welcome position papers expressing the data and metadata quality needs from content providers (libraries, archives, museums, public and private sector organizations that manage multimedia content). Moreover we welcome research papers that describe, methods, metrics, services and tools for measuring and ensuring quality. The workshop will provide a session for demonstrating implemented systems and services in order to trigger discussions on real world needs and running systems.

    All papers submitted should be original and of high quality, addressing issues in areas such as:

    • Data and metadata quality measurement methods
    • Data and metadata quality requirements for e-research, health, education and digital humanities, etc
    • Metrics for data quality measurement in for e-research, health, education and digital humanities, etc
    • Metrics for metadata quality measurement in for e-research, health, education and digital humanities, etc
    • Tools and services for measuring quality
    • Tools and services for improving quality
    • Services for automatic data and metadata enrichment

     

    Important dates

    • Paper submissions: June 30 2017
    • Notification of Acceptance: July 14 2017
    • Camera ready: July 28 2017
    • Workshop: September 21 2017

     

    Chairs

    Dimitris Gavrilis, University of Patras, Greece
    Christos Papatheodorou, Ionian University, Greece

    Webpage link
    http://qualitics.org/mdqual2017

  • 1st International Workshop on Temporal Dynamics in Digital Libraries (TDDL-2017)

    Description

    In Digital Libraries, which can often span several epochs, time is a critical factor. It is the means by which understanding, searching, and exploring these collections of data.

    Temporal dynamics, i.e. time-based patterns and trends, underpin language usage, entity references, and cultural and economic trends. Users accessing the information contained in Digital Libraries have to deal with their partial knowledge of these phenomena (word meaning variation, entity temporal ambiguity, specific events and time-related trends), as well as their own temporal evolution, i.e. their change in interests, preferences, and goals over time. Intercepting, representing, and predicting these dynamics is fundamental to the intelligent information access in Digital Libraries.

    This workshop proposes to bring together researchers and practitioners from different backgrounds in order to identify and discuss research trends, challenges, and new opportunities related to the time-aware intelligent access to Digital Libraries.

    Main workshop themes

    We welcome position papers expressing the data and metadata quality needs from content providers (libraries, archives, museums, public and private sector organizations that manage multimedia content). Moreover we welcome research papers that describe, methods, metrics, services and tools for measuring and ensuring quality. The workshop will provide a session for demonstrating implemented systems and services in order to trigger discussions on real world needs and running systems.

    We invite papers that pertain to the workshop theme including but not limited to:

    • Diachronic analysis of language
    • Time-aware Information Retrieval for Digital Libraries
    • Time-aware Recommender Systems for Digital Libraries
    • Timeline Summarization
    • Time-aware User Modeling for Digital Libraries
    • Event detection
    • Time-aware entity disambiguation
    • Topic detection and tracking
    • Temporal clustering
    • Timeline interfaces
    • Temporal queries
    • Historical studies and computational history
    • Topic and entity evolution
    • Opinion changes over time
    • Web archive-related topics

     

    Important dates

    • Paper submission deadline: June 2, 2017 (11:59pm Hawaii time)
    • Notification of paper acceptance: July 14, 2017
    • Camera-ready version deadline: July 28, 2017
    • Workshop (at TPDL 2017): September 17-21, 2017

     

    How to submit

    Position and Short paper: 4 pages
    Demos: 4 pages
    Long papers: 12 pages

    We encourage submissions that describe new theoretical models, applied techniques, and research in progress. Submissions should not have been published or submitted for publication elsewhere and should be prepared according to the main conference format (Springer-Verlag Lecture Notes in Computer Science). All submissions should be written in English and submitted as PDF. Submissions will be peer reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. All the submissions should be submitted via EasyChair: https://easychair.org/conferences/?conf=tddl2017.

    At least one author of an accepted paper must attend the workshop to present the work. The accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. We will also consider editing a special issue on the International Journal on Digital Libraries after the workshop by encouraging the participants to extend their papers.

    Chairs

    Annalina Caputo, ADAPT centre, School of Computer Science and Statistics, Trinity College Dublin, Ireland
    Nattiya Kanhabua, Database, programming and web technologies (DPW) Group, Department of Computer Science, Aalborg University, Denmark
    Pierpaolo Basile, SWAP group, Department of Computer Science, University of Bari Aldo Moro, Italy
    Séamus Lawless, Knowledge and Data Engineering Group, School of Computer Science and Statistics, Trinity College Dublin, Ireland

    Webpage link
    http://tddl2017.github.io/

  • Workshop on Modeling Societal Future (FUTURITY-2017)

    Description

    People seek and share ideas, information, experiences, expertise, opinions, and emotion with both acquaintance and strangers on the Internet, based on the effect of the Wisdom of Crowds. Over the last few years, the use of Social Media has increased tremendously all over the world. The huge popularity of social networks provides an ideal environment for scientists to test and simulate new models, algorithms and methods to process knowledge. Structured social knowledge can be used by different actors (companies, public institutions, researchers and scholars interested in formal and empirical analysis of social trends) to understand the behaviors in users or groups.

    As recent advances in information and communication technologies continue to reshape the relationship between governments and citizens, opportunities emerge at both ends. Citizens route their voices through new electronic channels, hoping to have their opinions heard at any time from any place. At the same time, companies are willing to identify user’s opinion and perceived contexts about their products.

    Main workshop themes

    Taking advantage of this huge knowledge “repository”, and the new search and extraction methods, the scientific program of FUTURITY-2017 invites papers focusing on the following (and related) topics:

    • Extracting knowledge from social web,
    • Collaborative and interactive search,
    • Conversational search interaction,
    • Community behavioral analysis,
    • Intelligent personal assistants,
    • Semantics in digital libraries,
    • Extracting and mining forum data,
    • Social media and linked data methodologies in real-life scenarios,
    • Collaborative tools and services for citizens, organizations, communities,
    • Creating and using structured social media-based resources through social web mining,
    • Exploring crowdsourcing and user communities,
    • Strategic early warning systems and detection of week signals,
    • Using the social web to foster innovation,
    • Exploring the digital cultural heritage,
    • Interaction with the web as a mental, social and physical extension of people.

     

    In this context, the specific aim of FUTURITY-2017 is to establish a consolidated community of internationally appreciated language technology practitioners from different backgrounds, with interests in real-life applications, bridging the gap between research and innovation in order to make sense of crowdsourced knowledge and foreseen future societal challenges.

    Important dates

    • Submission deadline for Full and Short papers: June 20, 2017
    • Notification of acceptance: July 10, 2017
    • End of Early Registration: July 21, 2017
    • Camera Ready Versions: July 30, 2017
    • Conference Dates: September 17-21, 2017

     

    Planned activities

    The workshop is intended to be a half-day workshop, tailored around the following schedule:

    • Opening session and ice-breaking team building activities, meant to familiarize participants with each other;
    • Presentations of papers focusing on challenging research questions;
    • Poster presentations during coffee break/lunch;
    • A two hours active brainstorming activity (see below)
    • A final round table, summarizing ideas and enhancing collaborations.

     

    FUTURITY-2017 will have a brainstorming session on 3 societal innovation scenarios (the topics lists is still open, participants will be asked to propose discussion topics when registering): (1) multilingual collaborative and interactive search; (2) innovative conversational agents for the social web; (3) “intellectual” cooperation between humans and computers.

    The organizers will act as facilitators, making sure all participants will be engaged in discussion, by actively working is small groups, using creative instruments (from classical mind maps, to Round-Robin brainstorming or Six Thinking Hats techniques). The output of the brainstorming sessions will be at least one viable research project draft.

    Chairs

    Daniela Gîfu
    Diana Trandabăț

    Webpage link
    https://profs.info.uaic.ro/~futurity/