摘要：
Recommender systems play an increasingly vital role in modern E-commerce. However, exploiting users' preferences with recommender algorithms leads to serious privacy risks, especially when recommender service providers are unreliable. To deal with the problem, this paper proposes a Client/Server framework to create a private recommender system (PrivateRS). The system assumes that the Server side is untrustworthy. On the Client side, each user firstly rates the items and randomizes the ratings with a differential privacy mechanism. The ratings are further substituted by private symbols which are autonomously defined by each user to hide the ordinal meaning of the ratings. Using those symbols, the Server applies a private collaborative filtering algorithm to predict the ratings of items for the user. During this process, new similarity metrics are provided to search the nearest neighbours for users or items without knowing the real meanings of those symbols. Experimental results demonstrate that even though the ordinal meaning of the rating is significantly obfuscated, the proposed algorithms can still generate accurate recommendations with acceptable loss. (C) 2018 Elsevier B.V. All rights reserved.
摘要：
In this paper, a necessary and sufficient condition for generalized quadratic stabilization of switched descriptor time-delay (SDT) systems under arbitrary switching is investigated. Based on the linear matrix inequality (LMI) method, some results are given: (i) the SDT system is regular, impulse-free, and stable under arbitrary switching; (ii) the necessary and sufficient condition for switched generalized quadratic stability (stabilization) of the uncertain SDT systems is derived. Finally, a numerical example is provided to illustrate the effectiveness of the method.
会议名称：
2014 IEEE Workshop on Electronics, Computer and Applications (IWECA)
关键词：
Web Service;distributed system;OWL-S
摘要：
Web services are the new paradigm for distributed computing. A critical factor to the overall utility of Web services is a scalable, flexible and robust discovery mechanism. Currently Web Service systems, which publish WSDL-described Web Services in UDDI, cannot support automatic Web Service publication, discovery and execution. Traditional centralized indexing scheme can't scale well with a large distributed system. In this paper, we present a service discovery model for building dynamic, scalable, decentralized registries with flexible search capabilities, to support Web service discovery. In our work, we focus on a fully distributed architecture motivated by recent advances in a two-layer P2P network topology without a need for centralized service registries. Furthermore, the OWL-S ontology is used to add semantics to the Web Service descriptions and then register them on a specific registries peer in the P2P environment according to the service's domain ontology. The experiments show that the discovery model has good scalability and the semantic annotation can notably improve discovery exactness. The improved algorithms can discover the most potential service against request.
通讯机构：
[Zhao, Jiemei] W;Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430021, Peoples R China.
关键词：
Adaptive neural networks;Dynamic compensator;Fixed point theorems;Internal dynamics;Nonaffine systems;Output feedback;Approximation algorithms;Feedback control;Navigation;Neural networks;Discrete time control systems
作者机构：
[Zhang L.] School of Mathematic and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China
通讯机构：
[Zhang, L.] S;School of Mathematic and Computer Science, , Wuhan, 430023, China
关键词：
Knowledge;Ontology;Processing model
摘要：
The objective of knowledge processing system is to promote knowledge integration, sharing and retrieval in distributed and heterogeneous environment. This paper puts forward a semantic oriented intelligent processing model-SOKPM for knowledge processing, which promises better access to relevant knowledge by producing a global domain ontology that is used for establishing semantic connections among the local autonomous knowledge sources as well as for retrieving those sources. In SOKPM, an up-bottom knowledge integration approach with a semantic transformation adapter framework is proposed to solve both the semantic heterogeneities and the query answering problems.
作者机构：
[Lin Zhang] Department of Computer and Information Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
会议名称：
2011 International Conference on Intelligence Science and Information Engineering
会议时间：
August 2011
会议地点：
Wuhan, China
会议论文集名称：
2011 International Conference on Intelligence Science and Information Engineering
关键词：
P2P;schema;XML query
摘要：
P2P technology provides new views for data integration purposes. In P2P systems, there is no global knowledge, neither a global schema nor information of data distribution or indices. An important issue in the context of schema-based P2P systems is efficient query processing. Because of the lack of global knowledge, query planning is much more difficult than in centralized systems. In this paper, we assume XML as the native data model for all peers, and address the problem of distributed query processing in the P2P XML data sources. We discuss strategies of query decomposition and routing based on different kinds of routing indexes. In our work, FLWR queries of XML data are translated into algebraic expressions, and are executed by relying on data-integration-like techniques. To speed up query execution and to decrease peer and super peer workload, we exploits mechanisms for replicating peer content, and for caching query plans and query results. Keywords-P2P; schema; XML query
摘要：
Information integration and interoperability among information sources are related problems that have received significant attention since early days of computer information processing. The objective of Web information integration system is to promote Web information collection, sharing and retrieval in distributed and heterogeneous environment. This paper Puts forward an ontology-based approach to Web information integration, which promises better access to relevant information by producing a global domain ontology that is used for establishing semantic connections among the local autonomous information sources as well as for retrieving those sources. In this approach, an up-bottom information integration method with a semantic transformation adapter framework is proposed to solve both the semantic heterogeneities and the query answering problems.
摘要：
The objective of knowledge processing system is to promote knowledge integration, sharing and retrieval in distributed and heterogeneous environment. This paper Puts forward an ontology-based model-OBKPM for knowledge processing, which promises better access to relevant knowledge by producing a global domain ontology that is used for establishing semantic connections among the local ontologies of autonomous knowledge sources as well as for retrieving those sources. In OBKPM, a bottom-up integration approach with two-stage mapping process is proposed to solve both the semantic heterogeneities and the query answering problems. In this approach, local ontologies and the global ontology are all treated in graph-based representation, and the overall integration and access process will be briefly illustrated through examples.
摘要：
Semantic grid, the cross field of semantic web and grid computing, has received significant attention recently. Our workgroup develops a resource management semantic grid—— RM-Grid to enhance information process accuracy and efficiency in semantic heterogeneity environment. This paper describes the architecture of RM-grid, mainly introduces the data translation service of RM-Grid. It puts forward an ontology based common semantic model and an XML based data model, presents the data translation algorithm between different data sources and an adapter framework for accessing distributed heterogeneous resources as well.
会议名称：
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
摘要：
Constructing an effective translation between different representations is the key point to overcome semantic heterogeneity in information integration systems. This paper puts forward an ontology based information representation architecture-SOSRA. It introduces a GAV (global as view) approach to solve the mapping between heterogeneous semi-structured data in the form of service, discusses the semantic representation algorithm and semantic mapping strategy emphatically. The implementation of SOSRA and its application to semantic integration system is given at the end of this paper to enhance information process accuracy and efficiency.
作者：
ZHANG Lin~ 1 , CHEN He-ping~ 2 1. Department of Computer and Information Engineering, Wuhan Polytechnic University, Wuhan 430023, Hubei, China;2. Department of Information, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China
作者机构：
[Zhang Lin] Department of Computer and Information Engineering, Wuhan Polytechnic University, Wuhan Hubei, China;[ZHANG Lin~ 1 , CHEN He-ping~ 2 1. Department of Computer and Information Engineering, Wuhan Polytechnic University, Wuhan 430023, Hubei, China] Department of Information, Wuhan University of Science and Technology, Wuhan Hubei, China
通讯机构：
Department of Computer and Information Engineering, Wuhan Polytechnic University, China
关键词：
XML;semantic;XML;ontology;Web service
摘要：
An information representation framework is designed to overcome the problem of semantic heterogeneity in distributed environments in this paper. Emphasis is placed on establishing an XML-oriented semantic data model and the mapping between XML data based on a global ontology semantic view. The framework is implemented in Web Service, which enhances information process efficiency, accuracy and the semantic interoperability as well.
关键词：
semantic mapping;XML schema;ontology;web service
摘要：
Integrating with ontology and XML Schema, taking advantage of Web Service, this paper develops a service oriented information representation architecture-SOIRA to solve the semantic heterogeneity of distributed and semi-structured information. It introduces a mediated semantic schema. originating from ontology to XML Schema, discusses the multi-matching strategy between the mediated schema and source schemas. The implementation of SOIRA with two kinds of semantic representation services are presented at the end of this paper, which enable interoperability, translation of information, and queries across the representations as well.
