Databases, information retrieval and knowledge management

Author:

Kacimi Mouna1,Suchanek Fabian M.2,Varde Aparna3

Affiliation:

1. Free University of Bozen-Bolzano, Italy

2. Max Planck Institute for Informatics, Germany

3. Montclair State University, Montclair, NJ, USA

Abstract

The International Conference on Information Retrieval and Knowledge Management (CIKM) brings together three avenues of data-oriented research, namely, Database Management, Information Retrieval and Knowledge Management. The confluence of these avenues becomes evident also in the PhD theses of doctoral students: Stream processing makes use of knowledge representation techniques, linked data is emerging as a research topic that bridges information retrieval and knowledge representation, and new forms of querying draw on techniques from both information retrieval and databases. In this paper, we survey new PhD theses at the meeting point of the three research avenues. Our survey is based on the 5th PhD workshop at the ACM CIKM conference. The topics include themes as diverse as link prediction, source code querying, and video stream processing.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference4 articles.

1. Anisoara Nica Fabian M. Suchanek Aparna S. Varde: New Research Directions in Knowledge Discovery and Allied Spheres. Submitted to ACM SIGKDD Explorations 2012 Anisoara Nica Fabian M. Suchanek Aparna S. Varde: New Research Directions in Knowledge Discovery and Allied Spheres. Submitted to ACM SIGKDD Explorations 2012

2. Emerging multidisciplinary research across database management systems

3. Challenging research issues in data mining, databases and information retrieval

4. Advances in information and knowledge management

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PIKM 2015;Proceedings of the 24th ACM International on Conference on Information and Knowledge Management;2015-10-17

2. PIKM 2014;Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management;2014-11-03

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