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A Model for a Semantic Enabled Network

A Model for a Semantic Enabled Network

引用

international conference on data engineering Workshops

作者： W.A. Ruh Cisco Systems Inc. San Jose CA USA

Networks have changed little since the rise and dominance of the IP protocol. Networks are focused on the transmission of transactions and information but have not played a significant role in the processing. They have focused on layers 1 through 4 in the OSI model. However, as more complex distributed systems are being developed increased intelligence in the network is becoming necessary. With the advent of next generation protocols and formats for information there is an opportunity to increase the capabilities of networks at the higher levels of the OSI model. Leveraging the technologies of the Semantic Web as well as Web Services in Layers 5 through 7 can lead to very powerful models for solving problems in developing and integrating distributed systems. This paper describes a model for the Semantic Enabled Network. It will address the basic concepts, architectural components and the characteristics of usage.

关键词： data encapsulation Protocols intelligent networks Semantic Web Power system modeling Middleware Next generation networking Web services Resource description framework IP networks

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Multimodality Sensors for Sleep Quality Monitoring and Logging

Multimodality Sensors for Sleep Quality Monitoring and Loggi...

引用

international conference on data engineering Workshops

作者： Ya-Ti Peng Ching-Yung Lin Ming-Ting Sun Department of Electrical Engineering University of Washington Seattle WA USA T. J. Watson Research Center IBM Hawthorne NY USA

In this paper, we investigate the possibility of using simple multimodality sensors to automatically detect a person’s sleep condition. We propose a system which consists of heart-rate, video, and audio sensors, and apply machine learning methods to infer the sleep-awake condition during the time a user spends on the bed. The sleep-awake conditions will be useful information for inferring sleep latency and sleep efficiency, which are critical to both sleep-related diseases and sleep quality measurements. To eliminate possible privacy concerns, we further explore the feasibility of using passive infrared (PIR) sensor instead of video sensor for motion information acquisition. Our experimental results are promising and show the potential use of the proposed novel economical alternative to the traditional medical measurement equipment, with competitive performance on the sleeprelated activity monitoring and the sleep quality measurements.

关键词： Multimodal sensors Sleep Monitoring Infrared sensors Sensor systems learning systems Delay Cardiac disease Cardiovascular diseases Privacy

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Energy-Efficient Continuous Isoline Queries in Sensor Networks

Energy-Efficient Continuous Isoline Queries in Sensor Networ...

引用

international conference on data engineering

作者： A. Silberstein R. Braynard Jun Yang Department of Computer Science Duke University Durham NC USA

Environmental monitoring is a promising application for sensor networks. Many scenarios produce geographically correlated readings, making them visually interesting and good targets for the isoline query. This query depicts boundaries showing how values change in the network. Temporal and spatial suppression provide opportunities for reducing the cost of maintaining the query result. We combine both techniques for maximal benefit by monitoring node and edge constraints. A monitored node triggers a report if its value changes. A monitored edge triggers a report if the difference between its nodes’ values changes. The root collects reports and derives all node values, from which the query result is generated. We fully exploit this strategy in our algorithm, CONCH, which maintains the set of node and edge constraints that minimizes message traffic.

关键词： Energy efficiency intelligent networks Costs Temperature sensors Computer science Computerized monitoring Application software Telecommunication traffic Batteries Wireless sensor networks

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ProcessingWindow Queries in Wireless Sensor Networks

ProcessingWindow Queries in Wireless Sensor Networks

引用

international conference on data engineering

作者： Yingqi Xu Wang-Chien Lee Jianliang Xu G. Mitchell Pennsylvania State University USA Hong Kong Baptist University Hong Kong China BBN Technologies Inc. USA

ISBN: (纸本)9781424429448

The existing query processing techniques for sensor networks rely on a network infrastructure for query propagation and data collection. However, such an infrastructure is very susceptible to network topology transients that widely exist in sensor networks. In this paper, we propose an infrastructure-free window query processing technique for sensor networks, called itinerary-based window query execution (IWQE), in which query propagation and data collection are combined into one single stage and executed along a well-designed itinerary inside a query window. We study the parameters for setting up an itinerary (e.g., width and route) and incorporate into IWQE three data collection schemes based on different performance trade-offs. Finally we demonstrate, by extensive simulations, the superior energy-time efficiency, robustness, and accuracy of IWQE over the current state-of-the-art techniques in supporting window queries under various network conditions.

关键词： intelligent networks Wireless sensor networks Query processing databases Network topology Sensor phenomena and characterization Robustness Information retrieval Temperature sensors Bandwidth

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WebIQ: learning from the Web to Match Deep-Web Query Interfaces

WebIQ: Learning from the Web to Match Deep-Web Query Interfa...

引用

international conference on data engineering

作者： Wensheng Wu AnHai Doan C. Yu University of Illinois Urbana-Champaign USA University of Illinois Chicago USA

ISBN: (纸本)9781424429448

Integrating Deep Web sources requires highly accurate semantic matches between the attributes of the source query interfaces. These matches are usually established by comparing the similarities of the attributes’ labels and instances. However, attributes on query interfaces often have no or very few data instances. The pervasive lack of instances seriously reduces the accuracy of current matching techniques. To address this problem, we describe WebIQ, a solution that learns from both the Surface Web and the Deep Web to automatically discover instances for interface attributes. WebIQ extends question answering techniques commonly used in the AI community for this purpose. We describe how to incorporate WebIQ into current interface matching systems. Extensive experiments over five realworld domains show the utility ofWebIQ. In particular, the results show that acquired instances help improve matching accuracy from 89.5% F-1 to 97.5%, at only a modest runtime overhead.

关键词： Cities and towns Artificial intelligence Runtime databases Books Motion pictures

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Location-based Spatial Queries with data Sharing in Mobile Environments

Location-based Spatial Queries with Data Sharing in Mobile E...

引用

international conference on data engineering Workshops

作者： Wei-Shinn Ku R. Zimmermann Computer Science Department University of Southern California Los Angeles CA USA

Mobile clients feature increasingly sophisticated wireless networking support that enables real-time information exchange with remote databases. Location-dependent spatial queries, such as determining the proximity of stationary objects (e.g., restaurants and gas stations) are an important class of inquiries. We present novel approaches to support nearest-neighbor queries and window queries from mobile hosts by leveraging the sharing capabilities of wireless ad-hoc networks. We illustrate how previous query results cached in the local storage of neighboring mobile peers can be leveraged to either fully or partially compute and verify spatial queries at a local host. The feasibility and appeal of our technique is illustrated through extensive simulation results that indicate a considerable reduction of the query load on the remote database. Furthermore, the scalability of our approaches is excellent because a higher density of mobile hosts increases its effectiveness.

关键词： Spatial databases Nearest neighbor searches Peer to peer computing Mobile computing Ad hoc networks Neural networks Query processing Environmental management intelligent networks Computer science

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MoSCoE: A Framework for Modeling Web Service Composition and Execution

MoSCoE: A Framework for Modeling Web Service Composition and...

引用

international conference on data engineering Workshops

作者： J. Pathak S. Basu R. Lutz V. Honavar Center for Computational Intelligence Learning & Discovery Iowa State University Ames IA USA Department of Computer Science Iowa State University Ames IA USA Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

Development of sound approaches and software tools for specification, assembly, and deployment of composite Web services from independently developed components promises to enhance collaborative software design and reuse. In this context, the proposed research introduces a new incremental approach to service composition, MoSCoE (Modeling Web Service Composition and Execution), based on the three steps of abstraction, composition and refinement. Abstraction refers to the high-level description of the service desired (goal) by the user, which drives the identification of an appropriate composition strategy. In the event that such a composition is not realizable, MoSCoE guides the user through successive refinements of the specification towards a realizable goal service that meets the user requirements.

关键词： Web services Assembly Context-aware services Ontologies Computer science Computational intelligence Propulsion Software tools Collaborative software Software design

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Approximating Aggregation Queries in Peer-to-Peer Networks

Approximating Aggregation Queries in Peer-to-Peer Networks

引用

international conference on data engineering

作者： B. Arai G. Das D. Gunopulos V. Kalogeraki University of California Riverside USA UT Arlington USA

Peer-to-peer databases are becoming prevalent on the Internet for distribution and sharing of documents, applications, and other digital media. The problem of answering large scale, ad-hoc analysis queries ― e.g., aggregation queries ― on these databases poses unique challenges. Exact solutions can be time consuming and difficult to implement given the distributed and dynamic nature of peer-to-peer databases. In this paper we present novel sampling-based techniques for approximate answering of ad-hoc aggregation queries in such databases. Computing a high-quality random sample of the database efficiently in the P2P environment is complicated due to several factors ― the data is distributed (usually in uneven quantities) across many peers, within each peer the data is often highly correlated, and moreover, even collecting a random sample of the peers is difficult to accomplish. To counter these problems, we have developed an adaptive two-phase sampling approach, based on random walks of the P2P graph as well as block-level sampling techniques. We present extensive experimental evaluations to demonstrate the feasibility of our proposed solutio

关键词： intelligent networks Peer to peer computing Music information retrieval Distributed databases Sampling methods Internet Large-scale systems Distributed computing Counting circuits IP networks

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Video database Modeling and Temporal Pattern Retrieval using Hierarchical Markov Model Mediator

Video Database Modeling and Temporal Pattern Retrieval using...

引用

international conference on data engineering Workshops

作者： Na Zhao Shu-Ching Chen Mei-Ling Shyu Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

The dream of pervasive multimedia retrieval and reuse will not be realized without incorporating semantics in the multimedia database. As video data is penetrating many information systems, the need for database support for video data evolves. Hence, we propose an innovative database modeling mechanism called Hierarchical Markov Model Mediator (HMMM) which integrates lowlevel features, semantic concepts, and high-level user perceptions for modeling and indexing multiple-level video objects to facilitate temporal pattern retrieval. Different from the existing database modeling methods, our approach carries a stochastic and dynamic process in both search and similarity calculation. In the retrieval of semantic event patterns, HMMM always tries to traverse the right path and therefore it can assist in retrieving more accurate patterns quickly with lower computational costs. Moreover, HMMM supports feedbacks and learning strategies, which can proficiently assure the continuous improvements of the overall performance.

关键词： Information retrieval Spatial databases Hidden Markov models Multimedia databases Information systems Indexing Stochastic processes Computational efficiency Feedback Continuous improvement

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Approximate data Collection in Sensor Networks using Probabilistic Models

Approximate Data Collection in Sensor Networks using Probabi...

引用

international conference on data engineering

作者： D. Chu A. Deshpande J.M. Hellerstein Wei Hong University of California Berkeley USA University of Maryland USA Intel Research Berkeley University of California Berkeley USA Arched Rock Corporation

Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has proposed to achieve this by pushing data-reducing operators like aggregation and selection down into the network. This approach has proven unpopular with early adopters of sensor network technology, who typically want to extract complete "dumps" of the sensor readings, i.e., to run "SELECT *" queries. Unfortunately, because these queries do no data reduction, they consume significant energy in current sensornet query processors. In this paper we attack the "SELECT " problem for sensor networks. We propose a robust approximate technique called Ken that uses replicated dynamic probabilistic models to minimize communication from sensor nodes to the network’s PC base station. In addition to data collection, we show that Ken is well suited to anomaly- and event-detection applications. A key challenge in this work is to intelligently exploit spatial correlations across sensor nodes without imposing undue sensor-to-sensor communication burdens to maintain the models. Using traces from two real-world sensor network deployments, we demonstrate that relatively simple models can provide significant communication (and hence energy) savings without undue sacrifice in result quality or frequency. Choosing optimally among even our simple models is NPhard, but our experiments show that a greedy heuristic performs nearly as well as an exhaustive algorithm.

关键词： intelligent networks Biosensors Energy consumption intelligent sensors Batteries Wireless sensor networks data mining Biological system modeling databases Robustness

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