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Web-Age Information Management - 13th International Conference, WAIM 2012, Harbin, China, August 18-20, 2012. Proceedings (Paperback, 2012 ed.)
Hong Gao, Lipyeow Lim, Wei Wang, Chuan Li, Lei Chen
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R1,623
Discovery Miles 16 230
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 13th
International Conference on Web-Age Information Management, WAIM
2012, held in Harbin, China in August 2012. The 32 revised full
papers presented together with 10 short papers and three keynotes
were carefully reviewed and selected from a total of 178
submissions. The papers are organized in topical sections on
wireless sensor networks; data warehousing and data mining; query
processing; spatial databases; similarity search and queries; XML
and Web data; graph and uncertain data; distributed computing; data
security and management; information extraction and integration;
and social networks and modern Web services.
Biodiesel Soot: Tribology, Properties, and Formation covers the
basic properties of biodiesel soot, focusing particularly on its
tribological behaviors, dispersion characteristics, and techniques
for controlling and altering its tribological and material
behavior. The book begins with a concise overview of the
fundamentals of the properties and preparation of biodiesel,
including coverage of the processes involved in the formation of
soot particulates, the influence of different fuels on formation,
and the effects of different soot on air pollution, friction
reduction, and wear resistance of lubricating oil. Other sections
cover the influence of biodiesel soot on engine parts and
combustion devices. This book will be of particular interest to
graduate students and academic or industrial researchers in
materials science, as well as mechanical, automotive and chemical
engineering.
Natural language interfaces provide an easy way to query and
interact with data and enable non-technical users to investigate
data sets without the need to know a query language. Recent
advances in natural language understanding and processing have
resulted in a renewed interest in natural language interfaces to
data. The main challenges in natural language querying are
identifying the entities involved in the user utterance, connecting
the different entities in a meaningful way over the underlying data
source to interpret user intents, and generating a structured
query. There are two main approaches in the literature for
interpreting a user's natural language query. The first are
rule-based systems that make use of semantic indices, ontologies,
and knowledge graphs to identify the entities in the query,
understand the intended relationships between those entities, and
utilize grammars to generate the target queries. Second are hybrid
approaches that utilize both rule-based techniques as well as deep
learning models. Conversational interfaces are the next natural
step to one-shot natural language querying by exploiting query
context between multiple turns of conversation for disambiguation.
In this monograph, the authors review the rule-based and hybrid
technologies that are used in natural language interfaces and
survey the different approaches to natural language querying. They
also describe conversational interfaces for data analytics and
discuss several benchmarks used for natural language querying
research and evaluation. The monograph concludes with discussion on
challenges that need to be addressed before these systems can be
widely adopted.
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