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114th Annual ASEE Conference and Exposition, 2007

作者： Eschenbach, Elizabeth Montgomery, Jami Johnson, James Brus, Chris Carlson, Patricia Giammar, Dan Grauer, Bette Hotaling, Liesl Oguntimein, Gbekeloluwa Safferman, Steven Wentling, Tim Humboldt State University United States Department of Environmental Resources Engineering Humboldt State University United States WATERS Network - CLEANER Project Office Network Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States American Academy of Environmental Engineers United States University of Iowa United States Program University of Iowa United States Rose-Hulman Institute of Technology United States Department of Rhetoric Rose-Hulman Institute of Technology United States National Research Council U. S. Air Force United States NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Energy Environmental and Chemical Engineering Washington University St. Louis United States Environmental Studies Program Center for Materials Innovation United States McPherson High School United States McPherson High School McPherson KS United States Stevens Institute of Technology United States Stevens Institute of Technology United States Morgan State University United States Michigan State University United States Biosystems and Agricultural Engineering Department Michigan State University United States University of Dayton United States Education Planning Committee National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University or Illinois United States Knowledge and Learning Systems Group NCSA United States

The WATERS Network (WATer and Environmental Research Systems Network) will be an integrated real-time distributed observing system which will enable academic and government scientists, engineers, educators, and practitioners to advance effective management of our nation's water resources by understanding human interactions with water and the natural and built environment. WATERS will provide easily accessible real time environmental data as well as analysis tools to engineers, scientists, educators, K- graduate students and policymakers so they can better understand how water quantity, quality and related components of the hydrologic cycle are impacted by natural and human influences. The WATERS strategic plan will be completed by July 2007 and requires constituent input. This paper describes the draft Conceptual Design and the Education Plan of WATERS Network. This paper will highlight the potential impact of WATERS on undergraduate and graduate environmental engineering education in order to elicit input from the environmental engineering education community on how WATERS Network could better meet the future needs of undergraduate and graduate students and educators. More information can be found at ***. © American Society for engineering Education, 2007.

关键词： Water resources

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8th Asia-Pacific Web Conference, APWeb 2006: Frontiers of WWW Research and Development

作者： Liang, Bangyong Tang, Jie Li, Juanzi Wang, Kehong Knowledge Engineering Group Department of Computer Science Tsinghua University 100084 Beijing China

ISBN: (纸本)3540311424

This paper addresses the issue of ontology caching on semantic web. The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Ontology serves as the metadata for defining the information on semantic web. Ontology based semantic information retrieval (semantic retrieval) is becoming more and more important. Many research and industrial works have been made so far on semantic retrieval. Ontology based retrieval improves the performance of search engine and web mining. In semantic retrieval, a great number of accesses to ontologies usually lead the ontology servers to be very low efficient. To address this problem, it is indeed necessary to cache concepts and instances when ontology server is running. Existing caching methods from database community can be used in the ontology cache. However, they are not sufficient for dealing with the problem. In the task of caching in database, usually the most frequently accessed data are cached and the recently less frequently accessed data in the cache are removed from it. Different from that, in ontology base, data are organized as objects and relations between objects. User may request one object, and then request another object according to a relation of that object. He may also possibly request a similar object that has not any relations to the object. Ontology caching should consider more factors and is more difficult. In this paper, ontology caching is formalized as a problem of classification. In this way, ontology caching becomes independent from any specific semantic web application. An approach is proposed by using machine learning methods. When an object (e.g. concept or instance) is requested, we view its similar objects as candidates. A classification model is then used to predict whether each of these candidates should be cached or not. Features in classification models are defined. Experimental results indicat

关键词： data structures

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A framework for specification and performance evaluation of service discovery protocols in mobile ad-hoc networks

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Ad Hoc Networks 2006年第1期4卷 1-23页

作者： Shenoi, Avinash Yesha, Yelena Yesha, Yaacov Joshi, Anupam Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle Baltimore MD 21250 United States Ebiquity Research Group Department of Computer Science and Electrical Engineering University of Maryland Baltimore County IEEE Transaction on Knowledge and Data Engineering IEEE ACM UMBC IEEE Transactions of Fuzzy Systems IEEE IEEE-CS ACM

Service discovery protocols are extremely important for developing distributed applications in ad-hoc environments. However to perform Service Discovery in mobile ad-hoc networks requires the design and development of extremely complex and dynamic systems. This requires a paradigm shift in the methodologies employed to design and evaluate these systems so as to ensure quality and correctness. Currently there exists no generic method for formally specifying these systems. Due to this it is extremely difficult to formally analyze protocols in this domain to study and observe the behavior. The same issue also hinders comparison of different protocols against a fixed set of metrics. In this work we propose a framework for the formal specification of service discovery protocols in mobile ad-hoc networks. The purpose of this framework is to provide a formal basis for performance evaluation and behavioral study of these protocols. This allows different service discovery architectures to be evaluated against a given set of metrics, a generic way to specify protocols and an automated process for performance evaluation and behavioral study. © 2004 Elsevier B.V. All rights reserved.

关键词： Network protocols

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Image description mining and hierarchical clustering on data records using HR-tree

Image description mining and hierarchical clustering on data...

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8th Asia-Pacific Web Conference, APWeb 2006: Frontiers of WWW Research and Development

作者： Zhang, Cong-Le Huang, Sheng Xue, Gui-Rong Yu, Yong Apex Data and Knowledge Management Lab. Department of Computer Science and Engineering Shanghai JiaoTong University Shanghai 200030 China

ISBN: (纸本)3540311424

Since we can hardly get semantics from the low-level features of the image, it is much more difficult to analyze the image than textual information on the Web. Traditionally, textual information around the image is used to represent the high-level features of the image. We argue that such "flat" representation can not describe images well. In this paper, Hierarchical Representation (HR) and HR-Tree are proposed for image description. Salient phrases in HR-Tree are further to distinguish this image with others sharing the same ancestor concepts. First, we design a method to extract the salient phrases for the images in data records. Then HR-Trees are built using these phrases. Finally, new hierarchical clustering algorithm based on HR-Tree is proposed for users' browsing conveniently. We demonstrate some HR-Trees and clustering results in experimental section. These results illustrate the advantages of our methods. © Springer-Verlag Berlin Heidelberg 2006.

关键词： data mining

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Emergent semantics from folksonomies: A quantitative study

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Journal on data Semantics VI - Special Issue on Emergent Semantics

作者： Zhang, Lei Wu, Xian Yu, Yong APEX Data and Knowledge Management Lab. Department of Computer Science and Engineering Shanghai JiaoTong University Shanghai 200030 China

ISBN: (纸本)3540367128

Defining and using ontology to annotate web resources with semantic markups is generally perceived as the primary way to implement the vision of the Semantic Web. The ontology provides a shared and machine understandable semantics for web resources that agents and applications can utilize. This top-down approach (in the sense that an ontology is defined first on top of existing web resources and then used later to markup them), however, has a high barrier to entry and is difficult to scale up. In this paper, we investigate using a bottom-up approach for semantically annotating web resources as supported by the now widely popular social bookmarks services on the web where users can annotate and categorize web resources using "tags" freely choosen by the user without any pre-existing global semantic model. This kind of informal social categories is coined as "folksonomies". We show how global semantics can be statistically inferred from the folksonomies to semantically annotate the web resources. The global semantic model also disambiguate the tags and group synonymous tags together. Finally, we show that there indeed are hierarchical relations among the emerged concepts in the folksonomy and it is plausible to further identify them if we use more advanced probabilistic models. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Semantics

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Mining and predicting duplication over peer-to-peer query streams

Mining and predicting duplication over peer-to-peer query st...

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作者： Meng, Shicong Shao, Yifeng Shi, Cong Han, Dingyi Yu, Yong APEX Data and Knowledge Management Lab. Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200030 China

ISBN: (纸本)0769527027

Many previous works of data mining user queries in Peer-to-Peer systems focused their attention on the distribution of query contents. However, few has been done towards a better understanding of the time series distribution of these queries, which is vital for system performance. To remedy this situation, this paper mines query steams by using automatic time series analysis to evaluate different linear models(Box-Jenkins models and some simple windowed-mean models) for predicting the number of duplicated queries from 10 minutes to 2 hours into the future. Both the predictive power and the computational costs of these models are evaluated over 318,942,450 real world Gnutella queries collected over 3 months. We find the number of duplicated queries is consistently predictable. Simple, practical models like AR perform well on prediction. © 2006 IEEE.

关键词： Time series analysis

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Depth-first algorithm of finding all association rules generated by a frequent itemset

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Journal of Donghua University (English Edition) 2006年第6期23卷 1-4+9页

作者： Wu, Kun Jiang, Bao-Qing Wei, Qing Institute of Data and Knowledge Engineering Henan University Kaifeng 475001 China Personnel Department Zhengzhou Institute of Aeronautical Industry Management Zhengzhou 450000 China Computer Science Department Henan University of Finance and Economics Zhengzhou 450000 China

The classical algorithm of finding association rules generated by a frequent itemset has to generate all nonempty subsets of the frequent itemset as candidate set of consequents. Xiongfei Li aimed at this and proposed an improved algorithm. The algorithm finds all consequents layer by layer, so it is breadth-first. In this paper, we propose a new algorithm Generate Rules by using Set-Enumeration Tree (GRSET) which uses the structure of Set-Enumeration Tree and depth-first method to find all consequents of the association rules one by one and get all association rules correspond to the consequents. Experiments show GRSET algorithm to be practicable and efficient.

关键词： Association rules

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Dynamic ontology integration in a multi-agent environment

Dynamic ontology integration in a multi-agent environment

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International Conference on Advanced Information Networking and Applications (AINA)

作者： S.M. Deen K. Ponnamperuma Data and Knowledge Engineering DAKE Group Department of Computer Science University of Keele UK

We present here an approach for dynamic ontology integration for a multi-agent environment, in which each agent holds the ontologies of its acquaintances (i.e., other agents of its interest) as the integrated partial global ontology, which is essential to interpret the local schemas for inter-agent operations. This integration has to be carried out whenever a new acquaintance is added or when the local ontology of an acquaintance changes. The approach described is general (i.e., independent of any particular thesaurus) and it carries out the integration automatically except for minimal unavoidable human inputs to resolve semantic conflicts if discovered in the process.

关键词： Ontologies Thesauri Humans Semantic Web Peer to peer computing Multiagent systems knowledge engineering computer science Shape Scalability

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A Framework for the Decentralisation and Management of Collaborative Applications in Ubiquitous Computing Environments

A Framework for the Decentralisation and Management of Colla...

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IEEE Symposium on Network Operations and Management

作者： K. Quinn A. Kenny K. Feeney D. Lewis D. O'Sullivan V.P. Wade Knowledge & Data Engineering Group Department of Computer Science Trinity College Dublin Dublin Ireland

When deploying collaborative applications such as instant messaging in ubiquitous computing environments significant enhancements can be afforded by offering additional context information, such as location information. However, such environments exert key challenges such as increased diversity of ownership and ad hoc, intermittent network connectivity that suits more decentralized computing architectures. This paper examines how a migration to a more decentralized collaborative architecture can be achieved together with a decentralization of the management of collaborative activities

关键词： Environmental management Collaboration Ubiquitous computing Access control Application software computer architecture Routing Humans Content management Peer to peer computing

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Benchmarking knowledge-based Context Delivery Systems

Benchmarking Knowledge-based Context Delivery Systems

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International Conference on Autonomic and Autonomous Systems (ICAS)

作者： J. Keeney D. Lewis D. O'Sullivan Knowledge & Data Engineering Group and CTVR Department of Computer Science Trinity College Dublin Dublin Ireland

As context-aware systems become more widespread and mobile there is an increasing need for a common distributed event platform for gathering context information and delivering to context-aware applications. The likely heterogeneity across the body of context information can be addressed using runtime reasoning over ontology-based context models. However, existing knowledge-based reasoning is not typically optimised for real-time operation so its inclusion in any context delivery platform needs to be carefully evaluated from a performance perspective. In this paper we propose a benchmark for knowledge-based context delivery platforms and in particular examine suitable knowledge benchmarks for assessing the ability of platforms to deal with semantic interoperability

关键词： Context-aware services Ontologies Pervasive computing Context modeling Temperature sensors Acoustic sensors knowledge management Publish-subscribe data engineering computer science

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