- From: John McCrae <john@mccr.ae>
- Date: Wed, 6 Dec 2017 19:04:25 +0000
- To: undisclosed-recipients:;
- Message-ID: <CAC5njqqiutRxySy=WaudDuaw=fM_vhYtZA2A8DXSG_qg6fK7Pg@mail.gmail.com>
Apologies for cross-posting --------------------------- The MDPI Information Journal invites submissions to a special issue on “Towards the Multilingual Web of Data” and the deadline has been extended to the *31st January 2018.* http://www.mdpi.com/journal/information/special_issues/Web_Data The Web of Data has increasingly become a space where concepts are described not only with logic and ontologies but also with linguistic information in the form of multilingual lexicons, terminologies and thesauri. In particular, this has lead to the creation of a growing cloud of linguistic linked open data, which bridges the world of ontologies with dictionaries, corpora and other linguistic resources. This raises several challenges such as ontology localisation, cross-lingual question answering, cross-lingual ontology and data matching, representation of lexical information on the Web of Data, etc. Furthermore, NLP and machine learning for linked data can benefit from exploiting multilingual language resources such as annotated corpora, wordnets, bilingual dictionaries, etc. if they are themselves formally represented and linked by following the linked data principles. A critical mass of language resources as linked data on the Web is leading to a new generation of linked data-aware NLP techniques and tools which, in turn, will serve as basis for a richer, multilingual Web. This special issue is concerned with groundbreaking topics at the interface of the Semantic Web, language resources and NLP, with particular emphasis on multilingual aspects. Topics of call * Linguistic Linked Open Data * NLP on the Semantic Web * Multilinguality and semantics * Best practices for multilingual linked data * Validation, quality and legal issues for multilingual linked data * Language resources published as linked data * Ontologies, terminologies and models for multilingual linked data * Publishing language resources as linked data using language description models such as OntoLex-lemon * Cross-lingual information access, search and retrieval * NLP and machine learning approaches for the Semantic Web and Linked Data * Applications using Linguistic Linked Data resources such as DBpedia, WordNet or BabelNet Papers’ length should be 9-15 pages and formatted according to the MDPI template. Complete instructions for authors can be found at: http://www.mdpi.com/journal/information/instructions Important Dates Submission: 31 January 2018 Notification: March 2018 Editors John P. McCrae - Insight Centre for Data Analytics, National University of Ireland Galway Jorge Gracia - Ontology Engineering Group, Universidad Politécnica de Madrid
Received on Wednesday, 6 December 2017 19:05:10 UTC