학회 정보

WebDB 2018: International Workshop on the Web and Databases

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로그인 회원가입

투고 마감일:
2018-02-09
통보일:
2018-03-14
개최일:
2018-06-10
개최지:
Houston, Texas, USA
개최 횟수:
21
CCF: C   QUALIS: B1   조회: 53686   팔로우: 41   참가: 4

논문 모집

WebDB 2018 (International Workshop on the Web and Databases) is a CCF C / QUALIS B1 conference held in Houston, Texas, USA on 2018-06-10. The paper submission deadline is 2018-02-09. Acceptance notifications are sent on 2018-03-14.

The Web is an ever-evolving source of information, with data and knowledge derived from the Web powering a great range of modern applications. Accompanying the huge wealth of information, Web data also introduces numerous challenges due to its size, diversity, volatility, inaccuracy, and contradictions. WebDB, first held in 1998, provides a forum for researchers, theoreticians, and practitioners to share and promote insights, ideas, and novel research directions for the management of Web data. It covers a broad range of topics, including the extraction of knowledge from the Web, the transformation, generation, dissemination, and exchange of Web data, functionality pertaining to interfaces and applications, and many others. We aim to bring together the research efforts from both the academia and industry, and we solicit papers on a broad range of research topics, types and methodologies in computer science, such as on applications and tools, systems, user experience and interface, and theoretical foundations and/or analysis. WebDB has taken place twenty times already, has had a high impact, and has published and provided the forum for a substantial amount of seminal research. The theme of this year's workshop is Web data for ML - ML for Web data. This theme emphasizes the cross-disciplinary challenges and opportunities that arise with Web data. On one hand, a large portion of Web data fuels ML, with novel applications such as predictive analytics, Q&A chat bots, and content generation. On the other hand, the new wave of ML technology found its way into traditional Web data challenges, with contributions such as web data extraction with deep learning, data cleaning, and even using ML to optimize data processing pipelines. Submissions relevant to the theme are particularly encouraged, but WebDB will also publish works more generally pertaining to Web data management.
최종 수정: Shuang Li ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence8.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790
CComputer Communications4.3Elsevier0140-3664

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