7th International Symposium on Language & Knowledge Engineering

LKE 2019


Data Mining & Analysis Databases & Information Systems



The 7th International Symposium on Language & Knowledge Engineering will be held in Dublin, Ireland. LKE 2019 is organized by the Department of Computing of the Technological University Dublin, Tallaght Campus. LKE 2019 will be a forum for exchanging scientific results and experiences, as well as sharing new knowledge, and increasing the co-operation between research groups in natural language processing and related areas.
Authors are invited to submit contributions including, but not limited to the following general areas:
NATURAL LANGUAGE PROCESSING
KNOWLEDGE ENGINEERING
PATTERN RECOGNITION
ARTIFICIAL INTELLIGENCE AND LANGUAGE
SCHOLARLY INFORMATION SYSTEMS
INFORMATION RETRIEVAL
INFORMETRICS
INFORMATION PROCESSING
MACHINE LEARNING APPLIED TO TEXT PROCESSING
HUMANOIDS
SOCIAL MEDIA ANALYTICS
FUZZY SYSTEMS FOR TEXT
All the papers will be blind submitted (author’s names are not allowed) in English. All submissions will be peer reviewed by the Scientific Committee, for originality, technical content and relevance. The final acceptance will be based upon double blind peer review of the full-length paper, and based on this the final decision will be to be considered either as ORAL or POSTER presentation.
All papers accepted for oral presentation will be published in an Special Issue of the Journal of Intelligent & Fuzzy Systems, ISSN print 1064-1246, ISSN online 1875-8967 (Indexed in Journal Citation Reports-JCR, THOMSON REUTERS, Impact Factor 2017: 1.261). (confirmed)
A selection of accepted papers will be published in an Special Issue of the Journal CyS (Computación y Sistemas), ISSN print 1405-5546, ISSN online 2007-9737 (Indexed by Scopus, in Master Journal List, THOMSON CLARIVATE). (confirmed)
A small number of excellent papers presented at the conference will be invited to publish an extended version in an Open Call of an Special Issue of the Information Processing & Management Journal, ISSN 0306-4573 (Indexed in Journal Citation Reports-JCR, THOMSON REUTERS, Impact Factor 2017: 2.391). (To be confirmed in the next days).