SIKS focus area: Data management, storage and retrieval

The Dutch Research School for Information and Knowledge Systems (SIKS) organizes its research in 7 so-called research foci. The scope of the SIKS research focus Data Management, Storage and Retrieval is the theory and the application of computers to the management of information, including the aspects of data acquisition, organization, storage, querying and retrieval, security and privacy, ranging from highly structured databases to unstructured natural language texts.

The research focus Data Management, Storage and Retrieval is shaped by two major success stories in Computer Science: 1) the development of relational database systems in the 1970’s and 1980’s mainly influenced by office automation and enterprise information systems, and 2) the development of large scale information retrieval systems at the end of the 1990’s, influenced by the development of the world wide web. The storage and retrieval component of today’s information system is formed by database management systems (DBMSs), which abstract the peculiarities of storage media and processing components into a data model, integrity rules, and query facilities. Although strong relational DBMSs have become a commodity product for administrative information system applications, they have been proven inadequate for storing and searching semi-structured data such as web data. The storage and retrieval component of today’s web search engines is formed by information retrieval (IR) systems, that provide effective ranking strategies, efficient indexes, and data compression. They focus on user satisfaction rather than on integrity of the data. Research themes that SIKS PhD students address are:

  • Integration of Text, Data, and Streams: Create ways to integrate data retrieval and information retrieval, for instance for XML databases and XML streams
  • Multimedia Retrieval: Create easy ways to analyze, summarize, search, and view multimedia information such as video databases.
  • Sensor Data and Sensor Networks: Create ways to manage and query networks of very large numbers of low-cost devices.
  • Reasoning about uncertain data: Create ways to analyze, query and reason over imprecise and uncertain data (Related to SIKS focus Knowledge representation & reasoning)
  • Contextual Retrieval and User Interaction: Use knowledge about the user’s context to provide more effective results (related to SIKS focus Human computer interaction).
  • Learning Ranking Algorithms: Create new models of information retrieval and machine learning of complex ranking functions (related to SIKS focus Computational intelligence)
  • Enterprise search and Data Spaces: Integrate enterprise information to support business processes, for example expertise finding (related to SIKS focus Enterprise information systems)
  • Distributed and peer-to-peer data management: Create ways to distribute data over many loosely coupled autonomous systems (related to SIKS focus Agent technology and Web-based information systems)

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