Language, Data and Knowledge conference

The new biennial conference series on Language, Data and Knowledge (LDK) 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. With the advent of the Web and digital technologies, an ever increasing amount of language data is now available across application areas and industry sectors, including social media, digital archives, company records, etc. The efficient and meaningful exploitation of this data in scientific and commercial innovation is at the core of data science research, employing NLP and machine learning methods as well as semantic technologies based on knowledge graphs

Paper submission

We welcome submission of both long and short papers of relevance to the topics listed below. Submissions can be in the form of long or short research papers, scientific abstracts on use cases or position papers. Accepted submissions will be published in a conference proceedings and will be selected for presentation as oral or poster presentation based on recommendations of reviewers, this choice does not reflect the quality of the work.


Language Data
      • Language data portals
      • Language data construction, acquisition and management
      • Crowdsourcing of language data
      • Metadata about language data
      • Multilingual, multimedia and multimodal language data
      • Evaluation, provenance and quality of language data
      • Usability, validation and visualization of language data
      • Organizational and infrastructural management of language data
      • Standards and interoperability of language data
      • Legal aspects of publishing language data
      • Typological databases
      • Under-resourced languages
Knowledge Graphs
      • 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
      • Semantic text similarity
      • Entity linking and relatedness
      • Linked Data profiling
      • Linguistic Linked Data
      • Multilingual Linked Data and multilingual Web of Data
      • Knowledge representation and reasoning on the Multilingual Semantic Web
Applications in NLP
      • Semantic search
      • Semantic content management
      • Question answering
      • Computer-aided Language Learning
      • Text analytics for Internet of Things
      • Multilingual Internet of Things
      • Applying big data to text analytics
      • Natural language interfaces to (big) data
Use Cases in Digital Humanities, Social Sciences, BioNLP
    • Applications in Digital Humanities such as distant reading
    • Analysis, enrichment of text archives
    • Text mining for Social Science research
    • Text mining from biomedical literature


9 February 2017 Paper submission
30 March 2017 Notification
June 19-20, 2017 Conference

Об авторе Лидия Пивоварова

СПбГУ - старший преподаватель, University of Helsinki - PhD student
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