The Experts below are selected from a list of 65037 Experts worldwide ranked by ideXlab platform
Karen Anderson - One of the best experts on this subject based on the ideXlab platform.
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Information seeking behaviour of Electronic Document and records management systems (EDRMS) users: implications for records management practices. Part 2
2008Co-Authors: P Singh, Jane Klobas, Karen AndersonAbstract:This article is the first in a multi-part report on whether the way RM professionals manage records in accordance with the ISO 15489 standard is consistent with the information seeking behaviour (ISB) of Electronic Document and Records Management Systems (EDRMS) users, and includes an investigation of how various factors, such as training, individual information seeking styles, tasks, and time, affect the ISB.
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Information seeking behaviour of Electronic Document and Records Management Systems (EDRMS) users: Implications for records management practices. Part 1.
2007Co-Authors: P Singh, Jane Klobas, Karen AndersonAbstract:Information seeking behaviour of Electronic Document and Records Management Systems (EDRMS) users: Implications for records management practices. Part 1.
C J Tan - One of the best experts on this subject based on the ideXlab platform.
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a semantic similarity approach to Electronic Document modeling and integration
Web Information Systems Engineering, 2000Co-Authors: William Wei Song, David W Cheung, C J TanAbstract:The World Wide Web is an enormous collection of information resources serving various purposes. However, the diversity of the Web information, as well as its related formats, makes it very difficult for users to efficiently search and obtain the information they require. The reason for the difficulty is because most of the information uploaded on to the Web is unstructured or semi-structured. Many meta-data models have been proposed to respond to this problem. These models attempt to provide a certain kind of general description for the Web information in order to improve its structuredness. Although these Documents consist of the largest portion of the Web information or Web resources, few meta-data models deal with ill-structured Web Documents by analyzing their semantic relations with each other. In this paper, we consider this huge set of Web information, called Electronic Documents. We propose a meta-data model called the EDM (Electronic Document Metadata) model. Using this model, we can extract the semantic characteristics from Electronic Documents and then use these characteristics to form a semantic Electronic Document model. This model, inversely, provides a basis for the analysis of semantic similarity between Electronic Documents and for Electronic Document integration. This Document modeling and integration supports further manipulations on the Electronic Documents, such as Document exchange, searching and evolution.
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WISE - A semantic similarity approach to Electronic Document modeling and integration
Proceedings of the First International Conference on Web Information Systems Engineering, 1Co-Authors: William Wei Song, David W Cheung, C J TanAbstract:The World Wide Web is an enormous collection of information resources serving various purposes. However, the diversity of the Web information, as well as its related formats, makes it very difficult for users to efficiently search and obtain the information they require. The reason for the difficulty is because most of the information uploaded on to the Web is unstructured or semi-structured. Many meta-data models have been proposed to respond to this problem. These models attempt to provide a certain kind of general description for the Web information in order to improve its structuredness. Although these Documents consist of the largest portion of the Web information or Web resources, few meta-data models deal with ill-structured Web Documents by analyzing their semantic relations with each other. In this paper, we consider this huge set of Web information, called Electronic Documents. We propose a meta-data model called the EDM (Electronic Document Metadata) model. Using this model, we can extract the semantic characteristics from Electronic Documents and then use these characteristics to form a semantic Electronic Document model. This model, inversely, provides a basis for the analysis of semantic similarity between Electronic Documents and for Electronic Document integration. This Document modeling and integration supports further manipulations on the Electronic Documents, such as Document exchange, searching and evolution.
P Singh - One of the best experts on this subject based on the ideXlab platform.
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Information seeking behaviour of Electronic Document and records management systems (EDRMS) users: implications for records management practices. Part 2
2008Co-Authors: P Singh, Jane Klobas, Karen AndersonAbstract:This article is the first in a multi-part report on whether the way RM professionals manage records in accordance with the ISO 15489 standard is consistent with the information seeking behaviour (ISB) of Electronic Document and Records Management Systems (EDRMS) users, and includes an investigation of how various factors, such as training, individual information seeking styles, tasks, and time, affect the ISB.
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Information seeking behaviour of Electronic Document and Records Management Systems (EDRMS) users: Implications for records management practices. Part 1.
2007Co-Authors: P Singh, Jane Klobas, Karen AndersonAbstract:Information seeking behaviour of Electronic Document and Records Management Systems (EDRMS) users: Implications for records management practices. Part 1.
William Wei Song - One of the best experts on this subject based on the ideXlab platform.
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a semantic similarity approach to Electronic Document modeling and integration
Web Information Systems Engineering, 2000Co-Authors: William Wei Song, David W Cheung, C J TanAbstract:The World Wide Web is an enormous collection of information resources serving various purposes. However, the diversity of the Web information, as well as its related formats, makes it very difficult for users to efficiently search and obtain the information they require. The reason for the difficulty is because most of the information uploaded on to the Web is unstructured or semi-structured. Many meta-data models have been proposed to respond to this problem. These models attempt to provide a certain kind of general description for the Web information in order to improve its structuredness. Although these Documents consist of the largest portion of the Web information or Web resources, few meta-data models deal with ill-structured Web Documents by analyzing their semantic relations with each other. In this paper, we consider this huge set of Web information, called Electronic Documents. We propose a meta-data model called the EDM (Electronic Document Metadata) model. Using this model, we can extract the semantic characteristics from Electronic Documents and then use these characteristics to form a semantic Electronic Document model. This model, inversely, provides a basis for the analysis of semantic similarity between Electronic Documents and for Electronic Document integration. This Document modeling and integration supports further manipulations on the Electronic Documents, such as Document exchange, searching and evolution.
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WISE - A semantic similarity approach to Electronic Document modeling and integration
Proceedings of the First International Conference on Web Information Systems Engineering, 1Co-Authors: William Wei Song, David W Cheung, C J TanAbstract:The World Wide Web is an enormous collection of information resources serving various purposes. However, the diversity of the Web information, as well as its related formats, makes it very difficult for users to efficiently search and obtain the information they require. The reason for the difficulty is because most of the information uploaded on to the Web is unstructured or semi-structured. Many meta-data models have been proposed to respond to this problem. These models attempt to provide a certain kind of general description for the Web information in order to improve its structuredness. Although these Documents consist of the largest portion of the Web information or Web resources, few meta-data models deal with ill-structured Web Documents by analyzing their semantic relations with each other. In this paper, we consider this huge set of Web information, called Electronic Documents. We propose a meta-data model called the EDM (Electronic Document Metadata) model. Using this model, we can extract the semantic characteristics from Electronic Documents and then use these characteristics to form a semantic Electronic Document model. This model, inversely, provides a basis for the analysis of semantic similarity between Electronic Documents and for Electronic Document integration. This Document modeling and integration supports further manipulations on the Electronic Documents, such as Document exchange, searching and evolution.
Huang Pei-wei - One of the best experts on this subject based on the ideXlab platform.
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Exchange Format of XML-based Electronic Document
Computer Engineering, 2003Co-Authors: Huang Pei-weiAbstract:Requirements of the exchangeable Electronic Document format for e-government are analyzed. eDocXML——a novel format for the exchange of Electronic Documents is brought out, including the structure and the usage of the specification. According to eDocXML, opening, saving, displaying and exchange operations are discussed, and an implemented prototype system is demonstrated.