Web Data Management: A Warehouse Approach (Springer Professional Computing) - Softcover

Über die Autorin bzw. den Autor

Sourav S Bhowmick Sourav S. Bhowmick is an Associate Professor in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University, Singapore. His core research expertise is in data management, human-data interaction, and data analytics. His research has appeared in premium venues such as ACM SIGMOD, VLDB, ACM WWW, ACM MM, ACM SIGIR, The VLDB Journal, Bioinformatics, and Biophysical Journal. He is co-recipient of Best Paper Awards in ACM CIKM 2004, ACM BCB 2011, and VLDB 2021 for work on mining structural evolution of tree-structured data, generating functional summaries, and scalable attributed network embedding, respectively. He is a co-recipient of 2021 ACM SIGMOD Research Highlights Award. Sourav serves as a member of the SIGMOD Executive Committee, is a regular member of the PVLDB Advisory Board, and co-leads the committee for Diversity and Inclusion in Database Conference Venues. In 2018, he was a co-recipient of theVLDB Service Award from the VLDB Endowment. He was inducted into Distinguished Members of the ACM in 2020. Byron Choi Byron Choi is the Associate Head and an Associate Professor at the Department of Computer Science at Hong Kong Baptist University (HKBU). His research interests include graph-structured databases, database usability, database security, and time series analysis. Byron's publications have appeared in premium venues such as TKDE, VLDBJ, SIGMOD, PVLDB/VLDB, and ICDE. He has served as a program committee member or reviewer of premium conferences and journals, including PVLDB, VLDBJ, ICDE, IEEE TKDE, and ACM TOIS. He was recognized as a distinguished program committee (PC) member by ACM SIGMOD 2021 and received a best reviewer award from ACM CIKM 2021 and distinguished reviewer award from PVLDB 2019. He served as the director of a Croucher Foundation Advanced Study Institute (ASI) program titled "Frontiers in Big Data Graph Research"in 2015 and was a recipient of the HKBU President's Award for Outstanding Young Researcher in 2016.

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The existence of huge data volume on the Web has fueled an unrelenting need to locate "right information at right time," as well as to effectively develop an integrated, comprehensive information source. This calls for tools for efficiently analyzing and managing web data―and for efficiently managing web information from the database perspective.

This comprehensive resource presents a data model called WHOM (WareHouse Object Model) to represent HTML and XML documents in the warehouse. The book defines a set of web-algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. Its "web-warehouse approach" incorporates modern and effective shared web data-management concepts, methods, and models.

Features & Benefits:

*Presents a simple and generic data model for representing metadata, structure, and content of Web documents and hyperlinks

*Addresses schema-related issues for both HTML and XML data, with their associated challenges of irregularity and heterogeneity

*Describes a web algebra for manipulating warehoused data

*Utilizes numerous examples to illustrate various concepts of web data management and to simplify all key issues for readers

*Highlights change management and knowledge discovery, two important applications of a web warehouse

With its accessible style and emphasis on practicality, the book delivers an excellent survey of all current principles for structured, web-based data management technologies. Database management systems developers, enterprise website developers, and applied R&D researchers will find the work an essential companion for new concepts, development strategies, and application models.

Key Topics:

>>Node and link objects

>> Comparison predicates

>> Connectivities

>> Coupling-query formulation

>> Web schema

>> WHOM (WareHouse Object Model)

>> Schema generation and pruning

>> Data visualization

>> Web deltas & web bags

>> Knowledge-discovery applications

-- Databases / Information Systems

-- Beginning / Intermediate