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Call for Papers: Special Issue on Semantic eScience: Methods, tools and applications

Special Issue on Semantic eScience: Methods, tools and applications

Call for Papers: Special Issue on Industrial Applications

In this Special issue we invite submissions that illustrate the use and impact of Semantic Web technologies in industry. A large number of companies are intently focused on embedding intelligence into all aspects of their business, from the consumer products and services on offer to their own internal processes and logistic operations. The technological challenges and solutions required to realize this goal are vast and varied, but those related to the following areas are of particular interest for this Special Issue:

SWJ papers for the ISWC 2018 Journals Track

The 17th International Semantic Web Conference (ISWC 2018), which will be held in Monterey, California, in October 2018, will again feature a Journals Track with the presentation of 12 papers, half of which will be from the Semantic Web journal. The papers have been selected from among all papers which have been published in a print issue in April 2017 or later, or which were awaiting print publication in March 2018.

New SWJ Policy about Addressing Review Criteria using Supplemental Files

Since introducing paper types for ontologies, datasets, tools, and applications, we have tried to strike the right balance between asking authors to provide evidence for importance, usefulness, relevance, stability, and impact (as these are some of the criteria by which we ask reviewers to rate submissions) on the one hand and readability for a broad target audience on the other hand. Based on our observations with the current setup, we decided to adjust the balance by giving more weight to meeting the interests and needs of our readers.

Call for Papers: Special Issue on Knowledge Graphs: Construction, Management and Querying

A Knowledge Graph (KG) is a graph-theoretic knowledge representation that (at its simplest) models entities and attribute values as nodes, and relationships and attributes as labeled, directed edges. Knowledge Graphs have emerged as a unifying technology in several areas of AI, including Natural Language Processing and Semantic Web, and for this reason, the scope of what constitutes a KG has continued to broaden.

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