World Wide Web (WWW) provides interlinked hypertext documents (Web pages) that may contain text, images, videos, and other multimedia. WWW is growing at a remarkable rate and finding appropriate information can therefore be challenging. Web information retrieval deals with the search for documents, for information within documents and for metadata about documents, as well as that of searching databases in the WWW. Web information retrieval is an interdisciplinary science and deals with this challenge by exploiting various information technologies and computational intelligence approaches to design the next generation of web-information retrieval technologies.
This Volume provides reviews of cutting-edge technologies and insights into various topics related to XML-based and multimedia information access and retrieval under the umbrella of Web Intelligence, it also illustrates how organizations can gain competitive advantages by applying new techniques in real-world scenarios. The 18 chapters are arranged in three parts and have identified several important problem formulations in the area of Web and multimedia information querying, modelling user interactions and advanced information security and access control models. Chapters are authored by reputed scientists in the field and all articles are self-contained to provide the greatest reading flexibility.
Richard Chbeir
Social Tagging Web Intelligence agents artificial intelligence information retrieval learning modeling multimedia semantic web
From the reviews:
“The book is an edited volume of 18 chapters written by authors from all over the world … . Each chapter in each set is self-contained and has its own set of references. … a worthwhile contribution to the literature, as it assembles contemporary research on Web Intelligence. It deliberately targets a readership that ranges from new graduate students to experienced researchers, and is successful in meeting the interests and needs of its intended audience.” (Anthony J. Duben, ACM Computing Reviews, January, 2011)