Semantic search over the web

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The Web has evolved into the largest database, with search as the primary tool for leveraging its vast information. Traditional search methods have largely focused on textual and structural similarities, often neglecting the semantic aspect—understanding the meaning behind queries and document content. The concept of semantic search emerges from integrating search with semantics. While some traditional search engines have begun to incorporate semantic dimensions, the full potential of semantic search remains untapped. This work presents a comprehensive overview of Semantic Search and related fields, offering insights into various technologies and solutions. It serves as a valuable resource for both academic and industrial researchers. The book is structured into three parts. The first part introduces fundamental concepts of the Web of Data, detailing different data types, their topology, and storage and indexing techniques. The second part focuses on Web Search, discussing various search types, including exploratory and path-oriented searches, and methods for their effective implementation. It also addresses topics like uncertainty in query answering and the role of ontologies in search. The final part concentrates on linked data, exploring the application of recommender system principles to linked data management and techniques for efficient querying and answering.