Information Reuse and Integration in Academia and Industry [electronic resource] /
Özyer, Tansel.editor.
Kianmehr, Keivan.editor.
Tan, Mehmet.editor.
Zeng, Jia.editor.
The present work covers the latest developments and discoveries related to information reuse and integration in academia and industrial settings.  The need for dealing with the large volumes of data being produced and stored in the last decades and the  numerous systems  developed to deal with these is increasingly necessary. Not all these developments could have been achieved without the investing large amounts of resources. Over time, new data sources evolve and data integration continues to be an essential and vital requirement. Furthermore, systems and products need to be revised to adapt new technologies and needs. Instead of building these from scratch, researchers in the academia and industry have realized the benefits of  reusing  existing components that  have been well tested. While this  trend avoids reinventing the wheel, it comes at the cost of finding the optimum set of existing components to be utilized and how they should be integrated together and with the new non-existing components which are to be developed. These  nontrivial tasks  have led to challenging research problems in the academia and industry. These issues are addressed in this book, which is intended to be a unique resource for researchers, developers and practitioners.
Description based upon print version of record.
Includes bibliographical references and index.
Mediators, Concepts and Practice -- A Combination Framework for Exploiting the Symbiotic Aspects of Process and Operational Data in Business Process Optimization -- Efficient Range Query Processing on Complicated Uncertain Data -- Invariant Object Representation Based on Inverse Pyramidal Decomposition and Modified Mellin-Fourier Transform -- Model Checking State Machines Using Object Diagrams -- Measuring Stability of Feature Selection Techniques on Real-World Software Datasets -- Analysis and Design: Towards Large-Scale Reuse and Integration of Web User Interface Components -- Which Ranking for Effective Keyword Search Query over RDF Graphs? -- ReadFast: Structural Information Retrieval from Biomedical Big Text by Natural Language Processing -- Multiple Criteria Decision Support for Software Reuse: An Industrial Case Study -- Using Local Principal Components to Explore Relationships Between Heterogeneous Omics Datasets -- Towards Collaborative Forensics -- From Increased Availability to Increased Productivity: How Researchers Benefit from Online Resources -- Integration of Semantics Information and Clustering in Binary-class Classification for Handling Imbalanced Multimedia Data.
The present work covers the latest developments and discoveries related to information reuse and integration in academia and industrial settings.  The need for dealing with the large volumes of data being produced and stored in the last decades and the  numerous systems  developed to deal with these is increasingly necessary. Not all these developments could have been achieved without the investing large amounts of resources. Over time, new data sources evolve and data integration continues to be an essential and vital requirement. Furthermore, systems and products need to be revised to adapt new technologies and needs. Instead of building these from scratch, researchers in the academia and industry have realized the benefits of  reusing  existing components that  have been well tested. While this  trend avoids reinventing the wheel, it comes at the cost of finding the optimum set of existing components to be utilized and how they should be integrated together and with the new non-existing components which are to be developed. These  nontrivial tasks  have led to challenging research problems in the academia and industry. These issues are addressed in this book, which is intended to be a unique resource for researchers, developers and practitioners.
Computers.
Economic sociology.
Information Systems and Communication Service.
Organizational Studies, Economic Sociology.