- From: Massimo Melucci <melo@dei.unipd.it>
- Date: Sat, 25 Apr 2015 10:28:30 +0200
- To: semantic-web@w3.org
Computer Science Review (Elsevier) Information retrieval and the web Computer Science Review (COSREV) intends to fulfil a need in the Computer Science community by publishing research surveys and expository overviews in computer science and related fields. The reviews are aimed at a general computer science audience seeking a full and expert overview of the latest in computer science research [http://www.journals.elsevier.com/computer-science-review] COSREV welcomes articles relevant Information Retrieval and the web. Relevant topics include, but are not restricted to, the following subjects: Classification, Filtering and Recommendation Content Analysis, Document Indexing and Representation Context, User Behaviour Analysis, and Personalization Datacenters, Content Delivery Networks, and Cloud Computing Digital Libraries and Information Retrieval Evaluation Graph Analysis Internet Economics and Monetization Multimedia Information Retrieval Pervasive Web and Mobility Queries and Query Analysis Retrieval Models and Ranking Security and Privacy Semantic Web Semi-structured Data, XML and Information Retrieval Social Networks, Crowdsourcing Systems, and Social Media Search Structured Data and Information Retrieval Web Mining A survey may typically contain the following elements: • Introduction (including motivation and historical remarks) • Outline of the Survey • Basic concepts, examples and results (with sketches of the proofs) • Comments on the relevance of the results, relations to other results and applications • Open problems • Critical review of the relevant literature • Comprehensive bibliography Authors should give a clear and well-balanced treatment of their subject. Expanded versions of primary research papers are generally not acceptable. The optimal length for a paper is considered to be approximately 30 printed pages or about 20,000 words, including tables and diagrams. For questions ___________________________________________________ Massimo Melucci Associate Professor Department of Information Engineering University of Padua Via G. Gradenigo, 6, 35131, Padova, Italy massimo.melucci@unipd.it
Received on Tuesday, 28 April 2015 01:39:43 UTC