Comedi A Concurrently Multi Modal Engineering Database Interface

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Comedi A Concurrently Multi Modal Engineering Database Interface

Comedi A Concurrently Multi Modal Engineering Database Interface written by Stanford University. Center for Integrated Facility Engineering and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.

Computing In Civil Engineering And Symposium On Data Bases

Computing In Civil Engineering And Symposium On Data Bases written by Louis Franklin Cohn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.

Impact Of Integration On Industrial Facility Quality

Impact Of Integration On Industrial Facility Quality written by Kelly Jean Fergusson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Construction industry categories.

American Doctoral Dissertations

American Doctoral Dissertations written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Dissertation abstracts categories.

Verbum

Verbum written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computer art categories.

Symmetric Multimodal Interaction Applied To Database Design And Normalization

Symmetric Multimodal Interaction Applied To Database Design And Normalization written by James Roy Oleinik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.

A normal conversation between two people is typically multimodal, using both speech and gestures to effect communication. It is also symmetric because there is two-way multimodal interaction between the two parties. In contrast, when a human interacts with a computer, it is done through a strict and limited interface, usually a keyboard or mouse. Unlike the human-human conversation, this interaction is neither multimodal nor symmetric. The goal of this thesis is to empower computers to carry out symmetric, multimodal dialogues with humans, thereby providing a more natural human-computer interaction. To do so, we modified and extended Adler's Multimodal Interactive DialOgue System (MIDOS) to be a more flexible and domain-independent platform for supporting symmetric, multimodal interaction. We built an application that utilizes MIDOS in order to design and implement a normalized relational database, and then demonstrate the application's capabilities by using it to design the database for an after-action report wiki.

Multi Modal Data Fusion Based On Embeddings

Multi Modal Data Fusion Based On Embeddings written by Steffen Thoma and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-15 with Computers categories.

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.