Listing 1 - 10 of 51 | << page >> |
Sort by
|
Choose an application
Choose an application
Choose an application
"Many web pages include structured data in the form of semantic markup, which can be transferred to the Resource Description Framework (RDF) or provide an interface to retrieve RDF data directly. This RDF data enables machines to automatically process and use the data. When applications need data from more than one source the data has to be integrated, and the automation of this can be challenging. Usually, vocabularies are used to concisely describe the data, but because of the decentralized nature of the web, multiple data sources can provide similar information with different vocabularies, making integration more difficult. This book, Multi-modal Data Fusion based on Embeddings, describes how similar statements about entities can be identified across sources, independent of the vocabulary and data modeling choices. Previous approaches have relied on clean and extensively modeled ontologies for the alignment of statements, but the often noisy data in a web context does not necessarily adhere to these prerequisites. In this book, the use of RDF label information of entities is proposed to tackle this problem. In combination with embeddings, the use of label information allows for a better integration of noisy data, something that has been empirically confirmed by experiment. The book presents two main scientific contributions: the vocabulary and modeling agnostic fusion approach on the purely textual label information, and the combination of three different modalities into one multi-modal embedding space for a more human-like notion of similarity. The book will be of interest to all those faced with the problem of processing data from multiple web-based sources."-- Back cover.
Choose an application
"Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for Semantic Web Technologies (SWTs) and highlights their role in wide range of domains including Cloud Computing, Internet of Things, Big data, Sensor Network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in 'Epidemic Covid-19', 'E-Learning platforms and systems', 'Block chain', 'Open online courses', and 'Visual analytics in Healthcare' is described as well. Explores all the critical aspects of semantic web technologies (SWT) Discusses impact of SWTs on cloud computing, Internet of things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at Researchers and graduate students in Computer Science, Informatics, Web Technology, Cloud Computing, and Internet of Things"--
Choose an application
Choose an application
Choose an application
Ontologies (Information retrieval). --- Semantic Web. --- Semantic Web--Congresses.
Choose an application
Choose an application
Semantic Web. --- Web site development. --- Knowledge management.
Choose an application
Semantic Web --- Semantic Web. --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats
Listing 1 - 10 of 51 | << page >> |
Sort by
|