Multimedia data require specialized management techniques because the representations of color, time, semantic concepts, and other underlying information can be drastically different from one another. The user s subjective judgment can also have significant impact on what data or features are relevant in a given context. These factors affect both the performance of the retrieval algorithms and their effectiveness. This textbook on multimedia data management techniques offers a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as color, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the semantic gap and present the applications of these to emerging topics, including web and social networking.

This volume comprises papers from four APWeb/WAIM 2009 workshops, which are 1. International Workshop on Web-based Contents Management Technologies (WCMT 2009), 2. International Workshop on Real-Time Business Intelligence (RTBI 2009), 3. International Workshop on DataBase and Information Retrieval and Aspects in Evaluating Holistic Quality of Ontology-based Information Retrieval (DBIR-ENQOIR 2009), as well as 4. International Workshop on Process Aware Information Systems (PAIS 2009.

These four workshops were selected from a public call-for-proposals process. The workshop organizers have put a tremendous amount of effort into soliciting and selecting research papers with a balance of high quality and new ideas and new applications.

This volume collects the proceedings of the 11th International Workshop on Multimedia Information Systems, MIS 2005, which was held during September 19 21, 2005 in the beautiful town of Sorrento, Italy. The MIS series of workshops started in 1995 with the aim of fostering - terdisciplinary discussions and research in all aspects of multimedia information systems, in all their diversity. Since then, in MIS workshops, issues ranging from fundamental multimedia information management research to advanced app- cations in multimedia systems related ?elds have been discussed, new systems have been reported, and the lessons learned have provided new insights into this dynamic and exciting area of computer science and engineering. As the program chairs of the MIS 2005 workshop, we note that while desi- ing an e?ective multimedia system, two complementary issues have to be taken into account: (a) the need to use appropriate technologies in acquiring, p- cessing, and delivering multimedia data which manifest themselves under very di?erent shapes; and (b) the need for modeling, indexing, querying, retrieving, mining, and visualizing data under di?erent system and device capabilities, for di?erent users. Therefore, besides the development of more traditional content management technologies, there are emerging needs to gather media from se- ing devices in the environmental context, for informedprocessingofmediabased on the current task and resources, and for making the results available to the user in the most suitable form based on the capabilities and preferences of the user."

This book constitutes the refereed proceedings of the 12th International Conference of the CLEF Association, CLEF 2021, held virtually in September 2021.The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. The 11 full papers presented in this volume were carefully reviewed and selected from 21 submissions. This year, the contributions addressed the following challenges: application of neural methods for entity recognition as well as misinformation detection in the health area, skills extraction in job-match databases, stock market prediction using financial news, and extraction of audio features for podcast retrieval. In addition to this, the volume presents 5 "best of the labs" papers which were reviewed as full paper submissions with the same review criteria. 12 lab overview papers were accepted and represent scientific challenges based on new data sets and real world problems in multimodal and multilingual information access.

This two volume set LNCS 10177 and 10178 constitutes the refereed proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017. The 73 full papers, 9 industry papers, 4 demo papers and 3 tutorials were carefully selected from a total of 300 submissions. The papers are organized around the following topics: semantic web and knowledge management; indexing and distributed systems; network embedding; trajectory and time series data processing; data mining; query processing and optimization; text mining; recommendation; security, privacy, senor and cloud; social network analytics; map matching and spatial keywords; query processing and optimization; search and information retrieval; string and sequence processing; stream date processing; graph and network data processing; spatial databases; real time data processing; big data; social networks and graphs.

This two volume set LNCS 10177 and 10178 constitutes the refereed proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017. The 73 full papers, 9 industry papers, 4 demo papers and 3 tutorials were carefully selected from a total of 300 submissions. The papers are organized around the following topics: semantic web and knowledge management; indexing and distributed systems; network embedding; trajectory and time series data processing; data mining; query processing and optimization; text mining; recommendation; security, privacy, senor and cloud; social network analytics; map matching and spatial keywords; query processing and optimization; search and information retrieval; string and sequence processing; stream date processing; graph and network data processing; spatial databases; real time data processing; big data; social networks and graphs.

The increasing costs of creating and maintaining infrastructures for delivering services to consumers have led to the emergence of cloud based third party service providers renting networks, computation power, storage, and even entire software application suites. On the other hand, service customers demand competitive pricing, service level agreements, and increased flexibility and scalability. Service consumers also expect process and data security, 24/7 service availability, and compliance with privacy regulations. This book focuses on such challenges associated with the design, implementation, deployment, and management of data and software as a service. The 12 papers presented in this volume were contributed by leaders in academia and industry, and were reviewed and supervised by an expert editorial board. They describe cutting-edge approaches in areas like service design, service security, service optimization, and service migration.