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Semantic Software Lab
Concordia University
Montréal, Canada

Call for Papers -- 2nd Conference on Language, Data and Knowledge (LDK 2019)

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We invite submissions to the second biennial conference on Language, Data and Knowledge (LDK 2019), which will be held in Leipzig, Germany in May 2019. This conference aims at bringing together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. This builds upon the success of the inaugural event held in Galway, Ireland in 2017.
Paper submission

We welcome submission of relevance to the topics listed below. Submissions can be in the form of:

Long research papers: 10-15 pages;
Short research or position papers: 6-8 pages;
Short scientific abstract submissions: be 4-6 pages.

All submissions lengths are given including references and optional appendices.

Accepted submissions will be published by OASIcs in an open-access conference proceedings volume. The layout templates are available for download from the OASIcs website at:

Submission is double-blind and hence all submissions should be suitably anonymized by omitting author names in the header and citing previous own work in the third person (not “as we showed in …” but “as Smith (2017) showed …”).

Papers should be submitted via EasyChair at the following address:
Presentation format

Accepted submissions will be selected for oral or poster presentation based on recommendations from the reviewers (with no difference in quality between types of presentation).

Authors of accepted short papers and scientific abstract are welcome to present their work as a demo in addition to the regular presentation.
At least one author of each accepted paper must register to present the paper at the conference.
Best Papers

Among the accepted long research papers, one paper will be selected to receive a Best Paper Award. Additionally, papers with a student as first author (at the time of submission) will be eligible for a Best Student Paper Award. The Program Committee will select these based on the originality, relevance, and impact of the presented research.
Language Data

Language data construction and acquisition
Language data annotation
Language data portals and metadata about language data
Organizational and infrastructural management of language data
Multilingual, multimedia and multimodal language data
Evaluation, provenance and quality of language data
Usability, validation and visualization of language data
Standards and interoperability of language data
Legal aspects of publishing language data
Typological databases
Under-resourced languages

Knowledge Graphs

Linguistic Linked Data and Multilingual Semantic Web
Ontologies, terminology, wordnets and lexical resources
Information and knowledge extraction (taxonomy extraction, ontology learning)
Data, information and knowledge integration across languages
(Cross-lingual) Ontology Alignment
Entity linking and relatedness
Linked Data profiling
Knowledge representation and reasoning

Applications in NLP

Question answering and semantic search
Text analytics on Big Data
Semantic content management
Computer-aided Language Learning
Natural language interfaces to (big) data
Knowledge-based NLP
Other applications

Use Cases in Digital Humanities, Social Sciences, BioNLP

Social Sciences and Humanities research enabled by digital approaches: digital arts, architecture, music, film, theatre, new media, digital games and cyberculture
Digital media, digitisation, curation of digital objects
Annotation, analysis, enrichment of text archives
Text and data mining for Social Science research
Text and data mining of (bio)medical literature
Geo-humanities, spatial analysis and applications of GIS for Humanities research
Visualisation of Social Sciences and Humanities content and research results

Important Dates
11 January 2019 Paper submission deadline
1 March 2019 Notification
20 March 2019 Camera-ready submission deadline
20 May 2019 Pre-conference events
21-22 May 2019 Conference

All deadlines refer to anywhere-on-earth time.