SEDSEAL-2018 CFP available as txt
The Semantics in the Deep: Semantic Analytics for Big Data (SEDSEAL-2018) welcomes paper submissions looking deeper into how Semantic Web technologies can contribute towards Big Data analytics. Papers reporting original and unpublished research results related to the workshop topics are solicited.
At least one author of each accepted paper must be registered and present the paper at the workshop. All accepted papers will be included in the conference proceedings and published in the SPRINGER IFIP AICT (Advances in Information and Communication Technology series).
Extended versions of selected workshop papers will be considered for publication
in a special issue of the Data int. journal (open-access, no charge), in addition to the main conference journals (Artificial Intelligence Tools (IJAIT), Evolving Systems (EVOS), and Neural Computing and Applications (NCA)).
Topics of Interest
Some indicative topics of interest for the workshop include, but are not limited to:
- Ontologies for big data
- Semantic applications in big data domains including:
- open datasets
- linked data
- scholarly information
- Reasoning approaches for knowledge extraction
- Ontology learning
- Topic modeling
- Linked Data
- NLP and word embedding
- Semantic deep learning
- Semantic lakes
- OBDA approaches for big data access
- Evaluation techniques
- Ontologies as training sets
- Ontology evolution and learning feedback
- Scalability issues