February 2021 - sem-grd - lists.ogf.org

[CFP] **Deadline Extension** 2nd International workshop on Deep Learning meets Ontologies and Natural Language Processing @ESWC-2021
by Sarra Ben Abbès 26 Feb '21

26 Feb '21

Dear colleagues and researchers, Please consider submitting a paper for the 2nd International workshop "*Deep Learning meets Ontologies and Natural Language Processing*" which will be held online or in Hersonissos, Greece - June 6th 2021. ** *DeepOntoNLP* - Call for Papers *** Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) https://sites.google.com/view/deepontonlp-eswc2021 in conjunction with ESWC 2021 <https://2021.eswc-conferences.org/> online or in Hersonissos, Greece **Important dates** - Workshop paper submission due: *March 1st, 2021** March 14th, 2021* - Workshop paper notifications: March 31st, 2021 - Workshop paper camera-ready versions due: April 9th, 2021 - Workshop: June 6th, 2021 (Half-Day) All deadlines are 23:59 anywhere on earth (UTC-12). **Workshop description** In recent years, deep learning is applied successfully and achieved state-of-the-art performance in a variety of domains, such as image analysis. Despite this success, deep learning models remain hard to analyse data and understand what knowledge is represented in them, and how they generate decisions. Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search and summarization. Previous works has attested the positive impact of domain knowledge on data analysis and vice versa, for example pre-processing data, searching data, redundancy and inconsistency data, knowledge engineering, domain concepts and relationships extraction, etc. Ontology is a structured knowledge representation that facilitates data access (data sharing and reuse) and assists the DL process as well. DL meets recently ontologies and tries to model data representations with many layers of non-linear transformations. The combination of DL, ontologies and NLP might be beneficial for different tasks: · Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration, · Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations), · Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc. · NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc. **Objective** This workshop aims at demonstrating recent and future advances in semantic rich deep learning by using Semantic Web and NLP techniques which can reduce the semantic gap between the data, applications, machine learning process, in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in natural language processing, structured knowledge and deep learning approaches. We invite the submission of original works that is related -- but are not limited to -- the topics below. **Topics of interests** · Construction ontology embeddings · Ontology-based text classification · Learning ontology embeddings · Semantic role labelling · Ontology reasoning with Deep Neural Networks · Deep learning for ontological semantic annotations · Spatial and temporal ontology embeddings · Ontology alignment and matching based on deep learning models · Ontology learning from text using deep learning models · Unsupervised Learning · Text classification using deep models · Neural machine translation · Deep question answering · Deep text summarization · Deep speech recognition · and so on. **Submission** The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions must be PDF documents written in English and formatted according to LNCS instructions for authors <https://www.google.com/url?q=https%3A%2F%2Fwww.springer.com%2Ffr%2Fcomputer…>. Papers are to be submitted through the Easychair Conference Management System <https://easychair.org/conferences/?conf=deepontonlp2021>. We welcome the following types of contributions: - Full research papers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics - Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and to the conference. For further instructions please refer to the ESWC 2021 <https://www.google.com/url?q=https%3A%2F%2F2021.eswc-conferences.org%2F&sa=…> page. **Publication** The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021. **Workshop chairs** *Sarra BEN ABBES*, Engie, France *Rim HANTACH*, Engie, France *Philippe CALVEZ*, Engie, France **Program Committee** Nada Mimouni, CNAM, France Lynda Temal, Engie, France Davide Buscaldi, LIPN, Université Sorbonne Paris Nord, France Valentina Janev, Mihajlo Pupin Institute, Serbia Mohamed Hedi Karray, LGP-INP-ENIT, Université de Toulouse, France Efstratios Kontopoulos, Catalink Ltd, Cyprus Wei Hu, Nanjing University, China Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico Linda Elmhadhbi, Université de Toulouse, France Amir Laadhar, Aalborg University, Denmark Yannis Haralambous, IMT Atlantique, France

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[CFP] 2nd International workshop on Deep Learning meets Ontologies and Natural Language Processing @ESWC-2021 Boîte de réception
by Sarra Ben Abbès 23 Feb '21

23 Feb '21

Dear colleagues and researchers, Please consider submitting a paper for the 2nd International workshop "*Deep Learning meets Ontologies and Natural Language Processing*" which will be held online or in Hersonissos, Greece - June 6th or 7th 2021. ** *DeepOntoNLP* - Call for Papers *** Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) https://sites.google.com/view/deepontonlp-eswc2021 in conjunction with ESWC 2021 <https://2021.eswc-conferences.org/> online or in Hersonissos, Greece **Workshop description** In recent years, deep learning is applied successfully and achieved state-of-the-art performance in a variety of domains, such as image analysis. Despite this success, deep learning models remain hard to analyse data and understand what knowledge is represented in them, and how they generate decisions. Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search and summarization. Previous works has attested the positive impact of domain knowledge on data analysis and vice versa, for example pre-processing data, searching data, redundancy and inconsistency data, knowledge engineering, domain concepts and relationships extraction, etc. Ontology is a structured knowledge representation that facilitates data access (data sharing and reuse) and assists the DL process as well. DL meets recently ontologies and tries to model data representations with many layers of non-linear transformations. The combination of DL, ontologies and NLP might be beneficial for different tasks: · Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration, · Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations), · Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc. · NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc. **Objective** This workshop aims at demonstrating recent and future advances in semantic rich deep learning by using Semantic Web and NLP techniques which can reduce the semantic gap between the data, applications, machine learning process, in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in natural language processing, structured knowledge and deep learning approaches. We invite the submission of original works that is related -- but are not limited to -- the topics below. **Topics of interests** · Construction ontology embeddings · Ontology-based text classification · Learning ontology embeddings · Semantic role labelling · Ontology reasoning with Deep Neural Networks · Deep learning for ontological semantic annotations · Spatial and temporal ontology embeddings · Ontology alignment and matching based on deep learning models · Ontology learning from text using deep learning models · Unsupervised Learning · Text classification using deep models · Neural machine translation · Deep question answering · Deep text summarization · Deep speech recognition · and so on. **Submission** The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions must be PDF documents written in English and formatted according to LNCS instructions for authors <https://www.google.com/url?q=https%3A%2F%2Fwww.springer.com%2Ffr%2Fcomputer…>. Papers are to be submitted through the Easychair Conference Management System <https://easychair.org/conferences/?conf=deepontonlp2021>. We welcome the following types of contributions: - Full research papers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics - Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and to the conference. For further instructions please refer to the ESWC 2021 <https://www.google.com/url?q=https%3A%2F%2F2021.eswc-conferences.org%2F&sa=…> page. **Important dates** - Workshop paper submission due: *March 1st, 2021* - Workshop paper notifications: March 31st, 2021 - Workshop paper camera-ready versions due: April 9th, 2021 - Workshop: June 6th or 7th, 2021 (Half-Day) All deadlines are 23:59 anywhere on earth (UTC-12). **Publication** The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021. **Workshop chairs** *Sarra BEN ABBES*, Engie, France *Rim HANTACH*, Engie, France *Philippe CALVEZ*, Engie, France **Program Committee** Nada Mimouni, CNAM, France Lynda Temal, Engie, France Davide Buscaldi, LIPN, Université Sorbonne Paris Nord, France Valentina Janev, Mihajlo Pupin Institute, Serbia Mohamed Hedi Karray, LGP-INP-ENIT, Université de Toulouse, France Efstratios Kontopoulos, Catalink Ltd, Cyprus Wei Hu, Nanjing University, China Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico Linda Elmhadhbi, Université de Toulouse, France Amir Laadhar, Aalborg University, Denmark Yannis Haralambous, IMT Atlantique, France

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[CFP]18th International Conference on e-Business (Deadline Extension)
by uo mktg calendar sites 19 Feb '21

19 Feb '21

CALL FOR PAPERS 18th International Conference on e-Business New Submission Deadline: March 08, 2021 http://www.ice-business.org/ July 07 - 09, 2021 Online Streaming Due to many requests, the regular papers submission deadline of this conference has been extended. The International Conference on e-Business, ICE-B 2021, aims at bringing together researchers and practitioners who are interested in e-Business technology and its current applications. The scope of the conference covers low-level technological issues, such as technology platforms, internet of things and web services, but also higher-level issues, such as business processes, business intelligence, value setting and business strategy. Furthermore, it covers different approaches to address these issues and different possible applications with their own specific needs and requirements on technology. These are all areas of theoretical and practical importance within the broad scope of e-Business, whose growing importance can be seen from the increasing interest of the IT research community. ICE-B is organized in 3 major tracks: 1 - Business Intelligence 2 - Collaboration and Interoperability 3 - Technologies and Applications Conference Chair(s) Marten van Sinderen, University of Twente, Netherlands Program Chair(s) Fons Wijnhoven, University of Twente, Netherlands In Cooperation with ACM Special Interest Group on Management Information Systems With the presence of internationally distinguished keynote speakers: Jan Brocke, University of Liechtenstein, Liechtenstein Florian Matthes, Technische Universität München, Germany Proceedings will be submitted for indexation by: SCOPUS Google Scholar The DBLP Computer Science Bibliography Semantic Scholar Microsoft Academic Engineering Index (EI) Web of Science / Conference Proceedings Citation Index A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Kind regards, Mónica Saramago ICE-B Secretariat Address: Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal Tel: +351 265 520 185 Web: http://www.ice-business.org/ e-mail: ice-b.secretariat(a)insticc.org

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