2nd Workshop on Semantic Deep Learning

Country: France

City: Montpellier

Abstr. due: 10.07.2017

Dates: 19.09.17 — 19.09.17

Area Of Sciences: Humanities; Pedagogy;

Organizing comittee e-mail: dgromann@iiia.csic.es

Organizers: IIIA

 

Based on the success of the first workshop on Semantic Deep Learning collocated with the European Semantic Web Conference (ESWC) 2017, this second interdisciplinary workshop aims to bring together Semantic Web and Deep Learning practitioners.

Deep Learning (DL) is a set of machine learning algorithms that acquire data features and representations by submitting data to possibly multi-layered neural networks. Semantic Web (SW) technologies focus on structuring data to form machine-readable conceptual models and knowledge resources. Both fields have considerably impacted data analysis and representation. We believe that the integration of SW technologies and resources with DL methods is very promising for the exploration of natural language semantics.

We thus invite submissions that illustrate how Semantic Web technologies and resources can benefit from Deep Learning or build on Deep Learning results. At the same time, we are interested in submissions that show how Semantic Web technologies and resources can assist in DL tasks.


Topics of Interest:

    semantic disambiguation with deep learning
    neural networks and logic rules for semantic compositionality
    learning semantic similarity and encoding distances as knowledge graph
    deep learning semantic annotations
    information retrieval and extraction with knowledge graphs and deep learning models
    Deep Structured Semantic Models (DSSM) for the Semantic Web
    multilingual semantic deep learning
    learning and applying knowledge graph embeddings
    reasoning with deep learning methods
    deep learning models for ontology learning from text
    predicting ontological relations with deep learning
    deep learning Linked Data
    ontology-based classification
    learning semantic role labeling
    investigation of compatibilities and incompatibilities between deep learning and Semantic Web approaches

 

Conference Web-Site: http://semdeep.iiia.csic.es/SemDeep-2/