Stefano Ceri Livres

This book presents a systematic overview of the interaction between logic programming and database systems. Merging these two technologies permits new types of systems which extend the frontiers of computer science and open up new applications, such as deductive databases, knowledge base management systems, and expert database systems. The book opens with an overview and an introductory review, then is divided into three parts devoted to - the coupling of Prolog with relational databases, - the precise definition of the Datalog language, and - the description of query optimization techniques and extensions of Datalog. A closing chapter reviews the main projects on the integration of logic programming and databases, including LDL, Nail! and the Fifth Generation Project. The presentation achieves a balance between theoretical and technological issues, by providing a careful introduction to the underlying paradigms and their theoretical foundations, and by stressing the problems involved in achieving efficiency when interfacing logic programming formalisms with large databases. The book is thus suited for members of both the database and logic programming communities. The authors use a tutorial style complete with examples and exercises to introduce students as well as researchers to this developing field.

the integration of information retrieval concepts into a broader curriculum. With the rise of vast amounts of heterogeneous data online, the significance of information retrieval (IR) has surged. Major tech companies like Google, Microsoft, and Yahoo! lead the charge in developing technologies for swift access to web-based information, embedding search functionalities into various systems, including business management, customer relationship management, social networks, and mobile apps. The authors guide readers from the basics of modern IR to the complexities of Web IR. The book is structured into three parts: the first covers foundational IR principles and techniques, such as binary, vector space, and probabilistic models, along with natural language processing, transitioning to web applications. The second part delves into Web IR architecture, focusing on search engine processes like crawling and indexing, link analysis methods (Page Rank and HITS), recommendation systems, and advertising strategies. The final part explores advanced Web search topics, including meta-search, semantic search, multimedia data retrieval, and crowd search, each chapter offering a current survey of research directions. This comprehensive resource is ideal for information retrieval courses and can enrich traditional data management studies, requiring no prior knowledge.

Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using the ranking and joining of results as the dominant factors for service composition. The field is multi-disciplinary in nature and takes advantage of contributions from other research areas such as knowledge representation, human-computer interfaces, psychology, sociology, economics, and legal sciences. This book is the third in the Search Computing series and contains a collection of 16 papers, which in most cases were contributed to several workshops during 2011 organized by members of the Search Computing project in the context of major international conferences: ExploreWeb at ICWE 2011, Very Large Data Search and DBRank at VLDB 2011, DATAVIEW at ECOWS 2011, and OrdRing at ISWC 2011. The papers provide very useful insights on search computing problems and issues. The book has been divided into four parts focussing on: extraction and integration; query and visualization paradigms; exploring linked data; and games, social search and economics.

Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using the ranking and joining of results as the dominant factors for service composition. The field is multi-disciplinary in nature and takes advantage of contributions from other research areas such as knowledge representation, human-computer interfaces, psychology, sociology, economics, and legal sciences. This book, the second in the Search Computing series, describes the evolution of theories, technologies, and methods related to search computing. The book has been divided into eight parts, reflecting the main research directions within the Search Computing project. The parts focus on: search as an information exploration task; interaction design issues when dealing with multi-domain search results; modeling and semantic description of search services; the rank-join problem; query processing techniques and architectures; tools and mashups for application development; the application of search computing to bio-informatics; and the exploitation potentials of project results.

Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using ranking and joining of results as the dominant factors for service composition. The field is multi-disciplinary in nature, and takes advantage of contributions from other research areas such as knowledge representation, human-computer interfaces, psychology, sociology, economics and legal sciences. The book is divided into three parts. The first part includes some visionary contributions on the latest trends in search, which is becoming increasingly task-oriented and is starting to use ontological knowledge in order to manage complex queries. The second part explores background and related technologies, which can be considered as parallel fields of research, useful both for setting the theoretical premises for search computing and for providing a technological framework for building search computing systems and applications. The third part delves into the conceptual and technological problems and issues arising when dealing with search computing as a new search paradigm. It provides a unified view of the results of the Search Computing project as achieved exactly one year after its starting date.