Jingtao Zhou

SGII: towards semantic grid-based enterprise information integration

To fully leverage the information from different data sources and applications, an enterprise needs a generic, interoperable and flexible infrastructure to integrate and coordinate information across back-end data sources on semantic level. Through undertaking research at the intersection of the Semantic Web and Grid, the Semantic Grid expects to establish a semantic interconnection environment to effectively organize, share, cluster, fuse, and manage globally distributed versatile resources. In this context, we introduce SGII, an EII (Enterprise Information Integration) infrastructure based on Semantic Grid vision to achieve adaptive and intelligence information sharing. A survey of existent solutions is made to provide evidence of the benefits from Semantic Grid in the context of integration and interoperation of enterprise information. A primary architecture for SGII is introduced based on the analysis of realizing the vision of an infrastructure for semantic information integration on grid.

Cloud manufacturing: Needs, concept and architecture

In order to obtain an advantageous position in the protean global market, the modern manufacturing enterprises require a flexible and self-adaptive foundation which is capable of dynamically exploiting manufacturing resources and services distributed across the network. In this paper, the cloud manufacturing vision (GetCM) is introduced to provide the on-demand architecture with reliability, flexibility and reliability based on cloud computing. In contrast to the conventional networked manufacturing paradigm, the paper analyzes from technological, functional and economic aspects to provide the evidences of the benefits from GetCM. A primary architecture for GetCM is introduced based on the analysis of key criteria in realizing the vision of a function for cloud manufacturing. Focuses of this paper are placed on the vision and the outline of GetCM architecture.

A survey of semantic enterprise information integration

Based on a discussion of data understanding hierarchy, this paper reviews a state of the art of existing enterprise information integration solutions from semantic perspective. We divide existing approaches into three categories: programming semantic-based integration, syntax schema-based integration, and declarative semantic-based Integration, and evaluate the approaches in each category by comparing the method used to describe and explain the data, and the topology structure of the data connected. Based on the results of our analysis we summarize the state-of-the-art in semantic enterprise information integration and give the tendencies of further research.

Enterprise Information Integration: State of the Art and Technical Challenges

To gain insight into increasingly intricate business, and deal with highly complex problem situations, an enterprise needs a more generic, standardized, pervasive and scalable infrastructure to fully leverage the information from different data sources, applications, and environments at both system and semantic level. In this context, we first discuss the state of the art of current approaches and solutions of EII (Enterprise Information Integration). Then, we outline the grand challenges of EII from technical perspective based on the analysis of framework, range, scale and performance.

ESD: the enterprise semantic desktop

The continuous blending of boundaries between personal and corporate data leads to overall enterprise information and knowledge pervading not only common but personal data sources. To fully sharing potentially useful information within entire enterprise, there are growing needs of a generic, interoperable, and flexible infrastructure to integrate and coordinate information across corporate and individual desktops on semantic or knowledge level. In this context, we introduce ESD, a desktop information sharing infrastructure based on Semantic Grid vision to achieve adaptive and intelligence information sharing across enterprise corporate and personal desktops. A primary framework for ESD is introduced based on the analysis of key criteria in realizing the vision of an infrastructure for information sharing, management, searching, and navigating on desktop grid. Focuses of this position paper are placed on the background, vision and the outline of ESD approach.

SDDG: Semantic desktop data grid

Recent advances in grid, semantic web, P2P and web services have revolutionized the way we communicate and collaborate. Undertaking the intersection fulfillment of these technologies on enterprise desktop computers enables new integrative and collaborative use of not only organizational data but also distributed, autonomous personal data on the web by fully leveraging potentially useful information sources on many desktops. In this context, we introduce SDDG, a pip-semantic-grid enabled information sharing infrastructure for entire enterprise information, which wraps both organizational and personal information sources as semantic grid services and creates a semantic information interoperability environment following a p2p data coordination way. Through a discussion of fundamental scientific positions in general and approaches to information integration research in particular, we depict the basic integration principles from both P2P and semantic grid perspectives. The key contributions of this paper are a P2P semantic grid service oriented framework for SDDG, which is an extension of our previous work [1] [2] by reflecting principles of P2P data integration in semantic grid.

Context-driven product knowledge modeling, description and sharing

Modern product development needs a large number of knowledge contained at all stages of product life cycle. In order to deal with the discrete, heterogeneous expression, scenario dependence of various types of product knowledge, a context-driven knowledge-sharing approach is presented, covering product knowledge modeling, describing and organizing. Through building product knowledge context model, product knowledge is linked with the relevant generation and application scenarios. Based on the model, a template-based product knowledge description method is proposed. With analyzing the description results, a self-organization method is proposed for product knowledge organization. The context-driven knowledge-sharing approach which aims at discrete distributed environment, contains a wealth of context-sensitive scenario semantics, has self-organizing capacity, can effectively solving product knowledge sharing problems.

A hybrid semantic discovery approach to capture concepts, attributes and relationships

Building ontology from scratch need identify the basic concepts, and their attributes and relationships. In terms of information integration, draft concepts, attributes and relationships can be directly captured by processing schemas of data sources. In this context, we present a hybrid semantic discovery approach, which is an extension of our previous work[1][2] to capture concepts, attributes and relationships from relative schemas. The approach consists of two stages: column oriented matching phase and schema oriented matching phase. Column oriented matching phase focuses on catching a set of attributes of potential concepts by schema columns similarity computing using a composite matcher, and columns clustering using neural network matcher. Schema oriented matching phase categorizes schemas (regarded as potential draft concepts) into clusters or explicit concepts, and attaches relative attributes to the concept through high-dimensional sparse clustering process, which computes the relationship or semantic distance between potential concepts by comparing the corresponding attributes set of each potential concept. The explicit concepts with attributes discovered by our approach can be used as draft material or seeds for further ontology modeling.

A Knowledge and Employee Evaluation Method for Knowledge Management System

Aiming at the problem of the low utilization rate of knowledge, low rate of staff dependence on knowledge management system, and the problem of lack of effective evaluation system and method, a comprehensive evaluation method of enterprise knowledge and employees was proposed. The knowledge evaluation system of multilevel and index was established based on the characteristics of knowledge resources and employee behaviors in knowledge management system. And then a knowledge evaluation model was constructed. The knowledge utility was used to represent the total index of knowledge. The method divided knowledge utility into knowledge quality and knowledge influence. The individual total score was divided into participation and contribution used to represent the total index of staff. According to this model, evaluation algorithm of each index was put forward. Finally, an example test was used to demonstrate the effectiveness and feasibility of the proposed method.

Research on Knowledge Service for Product Lifecycle

Aiming at the problem of the low utilization rate of knowledge in product lifecycle, and the problem of the knowledge that cannot be take full use to serve the business process, a construction scheme of the knowledge service oriented to product lifecycle was proposed. Firstly, the demands of knowledge service oriented to product lifecycle were analyzed and the basic concepts and characteristics of knowledge service were put forward. Secondly, the model of knowledge service and its structure was built; the integration of the system, the acquisition of the multi-source heterogeneous knowledge, and the technologies of knowledge push have been analyzed. Finally, part of the system function was given to illustrate the feasibility of the proposed method.