Pascal Hitzler's blog

2018 Google Scholar Ranking

Google Scholar just updated its conference and journal metrics. If we look at the listing of top ranked conferences and journals - in terms of Google Scholar h5-index - with "Web" in the title, via the live link or the snapshot below (from August 2018), we notice that the Semantic Web journal is listed as the top ranked journal. And indeed there are only three journals on this list, the remaining entries are conferences.

Journal Impact Factors 2018

OUTDATED - see IF 2019 for new data.

The 2018 impact factors were just released, and the Semantic Web journal is at 2.224. We will compare it with the impact factors from the same journals we compared it with last year.

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.

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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