An efficient plan execution system for information management agents

Do PCGs need information officers?

The Intelligent Assistant (IA) is an integrated system of intelligent software agents that helps the user with communication, information and time management. The IA includes specialist assistants for e-mail prioritization and telephone call filtering (communication management), Web search and Yellow Pages® lookup (information management), and calendar scheduling (time management). Each such assistant is designed to have a model of the user and a learning module for acquiring user preferences. In addition, the IA includes a toolbar providing a graphical interface to the system, a multimodal interface for accepting spoken commands and tracking the user’s activity, and a co-ordinator responsible for managing communication from the system to the user and for initiating system activities on the user’s behalf. A primary design objective of the IA is that its operation is as transparent as possible, to enable the user to control the system as far as is practicable without incurring a heavy overhead when creating and modifying the system’s behaviour. Hence each specialist assistant is designed to represent its user model in a way that is intuitively understandable to non-technical users, and is configured to adaptively modify its user model through time to accommodate the user’s changing preferences. However, in contrast to adaptive interface agents built under the behaviour-based paradigm, the assistants in the IA embrace complex AI representations and machine learning techniques to accomplish more sophisticated behaviour.

Soft computing techniques are beginning to penetrate into new application areas such as intelligent interfaces, information retrieval and intelligent assistants. The common characteristic of all these applications is that they are human-centred. Soft computing techniques are a natural way of handling the inherent flexibility with which humans communicate, request information, describe events or perform actions.Today, people use computers as useful tools to search for information and communicate electronically. There have been a number of ambitious projects in recent years including one at BTexact known as the Intelligent Personal Assistant (IPA), with the aim of revolutionising the way we use computers in the near future. The aim remains to build systems that act as our assistants and go beyond being just useful tools. The IPA is an integrated system of intelligent software agents that helps the user with communication, information and time management. The IPA includes specialist assistants for e-mail prioritisation and telephone call filtering (communication management), Web search and personalisation (information management), and calendar scheduling (time management). Each such assistant is designed to have a model of the user and a learning module for acquiring user preferences. In this talk I focus on the IPA, its components and how we used computational intelligence techniques to develop the system.

Interactive visualization techniques facilitate the examination of unknown data sets. At the United States Environmental Protection Agency's (U.S. EPA) Scientific Visualization Center, we are exploring the combination of 3D visual displays with emerging information technologies. The following discussion highlights prototype efforts in three arenas: (1) Integrating Visualization into Data Mining Techniques; (2) Exploring Policy Analysis Visualization and (3) Combining Object-Relational Databases, Visualization and Web Technologies. The three prototypes are still in embryotic form. We anticipate it will take three to five years for actualization of these concepts and precise implementation details will change over time.The U.S. EPA is currently designing and implementing a new high profile Office of Environmental Information that will advocate the use and management of information as a strategic resource to enhance public health and environmental protection. New information technologies will be applied to facilitate the collection and dissemination of environmental data. We are hopeful that interactive visualization tools will be successfully used across the entire range of users, computing platforms and World Wide Web (Web) technologies that support the information life cycle.

Advances in Web and Network Technologies, and Information Management , Advances in Web and Network Technologies, and Information Management , دانشگاه تهران

The clinical nursing work based on the establishment and improvement of the clinical nursing system breaks through the traditional nursing work model, which has achieved the advantages of full traceability, practical operation, comprehensive analysis, and individual error correction of nursing work, and greatly improves the nursing quality and work efficiency of nurses. With the advent of the era of big data, how to organically combine data mining technology with nursing information to optimize the nursing information system, apply big data to clinical nursing work through nursing information system, and provide patients with more efficient, high‐quality, and safe nursing services is a problem that needs urgent consideration in today’s era. Therefore, this research is based on the framework of the hospital’s existing clinical care system, using data mining technology to improve the Bayesian algorithm and data preprocessing, optimizes the design of functional modules in the clinical nursing management system, and optimizes the patient information management, medical order management, medical order execution management, basic information and expense management, nursing execution process management, system and data management, barcode management, physical sign management, WAP information management, and other subsystems in the clinical nursing information management system. Experiments have proved that the use of a data mining‐based clinical care management system can simplify user operations and improve users’ application of software. The application system of nursing methods based on data mining technology more completely integrates nursing information management business, makes nursing information management initially “digital,” and can improve the quality of hospital care to a large extent.

In this paper, the features of HTML and XML were compared, and expounds the necessity of transition from HTML to XML, and finally introduces document conversion, XHTML conversion and intelligent instead of three kinds of HTML to XML conversion method. Keyword: HTML;XML;conversion method;XHTML Characteristics of HTML HTML (Hypertext Markup Language) is a universal language for creating Webpage and to release information, it is YISHION text stored in the form of organization, to label definition document. Provided the cross plat form file sharing. In the HTML document, can be embedded in other objects, such as electronic forms, video, audio and various applications and so on, through the uniform resource locator can realize the hypertext links between Web nodes. HTML has the following features, format and grammar is relatively simple, easy to learn, will the data with some control markers, even if no programming experience can easily use HTML to design Webpage; and all of the control tag HTML is fixed [1], the number is limited, provides functions and related properties the setting is fixed, easy to remember; rules more flexible, such as the control of English marker size marker to write in no difference. In addition, the control flag must have the end tag corresponding to no strict requirements. Need the simplicity of HTML is more suitable for low cost information publishing; HTML as Web common information description method of strong universality, can realize different platform document sharing; to create more flexible, HTML document is a plain text file, can use a variety of editing tools for creating. The major disadvantage of HTML is: (1) Performance is too simple. (2) Link easily broken, chain destination address changes, chain source cannot automatically correct. (3) The flowers during the retrieval time are longer, the retrieved content targeted poor, and many returned results. (4) Poor scalability, HTML tag set is fixed, not to allow users to define their International Symposium on Computers & Informatics (ISCI 2015) © 2015. The authors Published by Atlantis Press 64 own identity. (5) The lack of semantics, HTML is a marker, it will not reveal the nature of the information content, and the computer cannot know the exact meaning of each section of text. HTML and XML are used for the network information organization and communication, are in the form of texts written in storage, and are structured information based on international standards [2]. But HTML only shows data seems to be what kind of, and the XML is that data is what mean. Using XML can create their own tags, these tags can more accurately describe the user what they want, but HTML can not be used to define a new application, and this is the biggest difference between XML and HTML. XML has overcome some limitations of the HTML, has the broad application prospect. The necessity of transformation Most of the current Webpage still is mainly composed of HTML. HTML of the inherent shortcomings of the original network information organization mode can't meet the requirements of the development of the new. Because the relevant development of the XML technology continues to mature, more and more websites gradually in XML design. In this process, not only will the new content is stored in XML format and transmission, but also consider compatible with the original data, so it is necessary to convert existing HTML Webpage into XML data form more flexible processing and application. At the same time, to the previous accumulated HTML documents continue to play a role in the new environment, the XML conversion is undoubtedly a solution. HTML to XML conversion is helpful for Webpage information integration, extraction, retrieval, filtering or mining analysis. (1) Facilitate the information integration of heterogeneous system under Network Environment In the network environment, because of the existence of the system platform and database operation of heterogeneous, leading to the exchange of information and work with difficulty. One of the data exchange between heterogeneous systems is to adopt a unified information exchange format. XML because of its custom and scalability advantages [3], which is convenient for expressing various types of data between heterogeneous databases, and can be used as middleware, unify the data interface, convenient for the exchange of information between different databases and colleagues. XML can be used to construct the data layer integration, will transform the source data into the data integration, simplification of integration system query translation, query mechanisms provide unified multi data source for the user, in a unified way using a variety of data from different sources of data, different shielding each data source in the structure, running environment on the. (2) The organization and management for network information

This paper aimed to unveil the outcome of an appraisal of the systematic approach to construction information management. This was performed with a view of creating awareness of how information management can be beneficial through the management of the large chunk of information emanating from construction processes. This will improve the gathering, sharing, and storage of information for construction activities. The study implemented a quantitative survey approach with the aid of a questionnaire as the mechanism for data gathering from architects, civil engineers, quantity surveyors, mechanical and electrical engineers, construction managers, and project managers. Data analysis ensued with the aid of SPSS in which applicable measure of dispersal and inferential statistics were implemented. The study unveiled that information management is a major aspect of the construction procedure, and that, to achieve in construction, there must be a well-structured information system. Further findings revealed that the benefits of information management include the firm’s growth, organizational performance, enhanced market value, employee’s motivation, and quality service. The prowess of this study depends on the appraisal of the benefits of systematic management of construction information and how identification of the benefits can help to motivate construction companies.

Outlines environmental problems in Czechoslovakia, the nature of environmental information and new recognition of the importance of such information in Czechoslovakia in the European context, following recent political changes. Provides general information about the organizational and legal framework of environmental matters in Czechoslovakia. Describes existing environmental information systems and their problems and the scope of action required. Describes the conceptual framework of the proposed Integrated Information System for Environment of the Slovak Republic, and its proposals with regard to environmental data, information management and public access strategy. Identifies the international cooperation and resources required, and outlines future plans.

William Kettinger and Donald Marchand attempt to operationalize the constructs that together help define the ‘knowing organization’. Their intention to develop a construct that measures the capability of companies to manage their information is a substantial undertaking. According to the life cycle of information management, ‘information management practices’ is defined as a second order construct that involves sensing, collecting, organizing, processing, and maintaining information to enhance its use for decision making. The authors develop measures for these five sub-capabilities. Empirical data were collected from multinational firms to test the construct with confirmatory factor analysis used as the major method for statistical analysis. The authors have created a model of information use and conducted an extensive evaluation across a broad array of institutions to validate this measure of information management practices. Considering that effective information management and usage have become an asset for firms to achieve competitive advantage and that there is no existing comprehensive measurement for this important capability, this paper is valuable to practitioners and academics since it can be used to compare firms' information management capabilities. This paper lays a foundation towards the improvement of organizational use of information. Kweku-Muata Osei-Bryson and Ojelanki Ngwenyama explore the potential of data mining technology, specifically decision tree generation, for providing support for systematic theory testing. This data mining technology is itself built on the principles of abductive inference and evaluating hypotheses based on Peirce's scientific method. They assert that this approach could assist scientists to explore alternative hypotheses for existing theories. They demonstrate their approach with empirical observations collected from twenty organizations in two countries using instruments from the user performance area of IS research, specifically task-technology fit and user satisfaction studies. The paper aims to help overcome the problem of the paucity of hypotheses for theory development in the positivist approach of Popper and others. The approach therefore aims to achieve significant savings in terms of the time and cost of conducting systematic theory testing and development. Stefan Henningsson and Sven Carlsson investigate the problem of information systems integration in the context of mergers and acquisitions. Information systems integration is critical for achieving the intended goals. The topic is eternal and timely in this current climate as financial institutions rise and fall and many of the challenges this brings are related to integrating information systems and maintaining operations. The authors have an ambitious approach as they try to combine existing research on both information systems integration and mergers and acquisitions with a multiple site case study into a model on information systems integration issues. They develop a six dimensional theoretical framework for information systems integration in corporate mergers and acquisitions. This can be used by companies since, through the combination of dimensions, it shows the information systems integration issues, decisions, and actions that a company has to address in the mergers and acquisitions process.

The rapid development of science technology brings unlimited economic growth to humanity and meanwhile it leads to serious environmental safety problems threatening seriously the existence of humanity. So, environmental safety problems have become the world's focuses and must be solved with the help of some certain scientific management systems for environmental information to ensure the realization of environmental safety. However, environmental information is so abundant, complicated, temporal, spatial and dynamic that makes traditional management and analysis methods invalid, thus, some new scientific methods must be adopted. To these problems above, this paper explores the solution of environmental safety problems by applying Environmental Geographic Information System (EGIS) to regional environmental safety information management and building regional Environmental Safety Information Management System. And taking the establishment of Daqing Oil Field ESIMS (DOFESIMS) for instance, this paper discusses its technology structures, mathematical models, functions and its function extension in detail for the purpose of provides the use for reference for the design and realization of regional environmental safety information management. DOFESIMS, based on the valid management of oil field environment, realizes to predict and analyze Daqing Oil Filed pollutant discharge state and display spatially results of analysis and prediction that proves further EGIS is effective to solve regional environmental safety information management.

A key property in tactical network environments is that the wireless network itself is typically the major limiting factor in how much information can be shared between users. In such environments, tactical operations often employ group communication protocols (one-to-many or many-to-many) to send information between users. This often results in situations where every message sent gets delivered to everyone on the network which can lead to network congestion, performance degradation, application failure, and even complete information loss. In light of today's computationally rich mobile devices, it is preferential to expend additional processing power to limit the messages being sent to only those required by interested clients rather than to simply deliver every message to every client. This paper summarizes the results of a research effort to explore and implement an Information Management (IM) prototype known as BANDIT that enables efficient and reliable information exchange across a swarm of Android devices within a decentralized Peer-to-Peer (P2P) network. BANDIT features a lightweight implementation of the Kademlia algorithm for P2P swarm management, and implements an efficient broadcast algorithm designed for minimal cost internode communication within structured P2P networks. BANDIT provides decentralized publish/subscribe IM services that, in contrast to more traditional IM systems, have no reliance on a centralized server (which requires additional dedicated hardware and poses the risk of being a single point of failure). Instead, BANDIT IM services are provided by each of the devices participating in the swarm. BANDIT is interoperable with traditional client-server based IM systems which further enables information sharing across tactical and strategic elements.

In this research, earlier developed information integration method and novel web technologies are applied to intensify infrastructure construction process control. The applied method uses semantic methods to integrate scattered information that is later on exploited by process management using state-of-the-art web technologies. The applied method and web technologies not only improve the process management situation awareness by integrated up-todate multi-source process data but also provide platform independent access and visualization tool for process data. Utilization of such technologies potentially lead on cost savings, make processes safer and also more environmentally friendly. The integration method also enables intelligent queries to the integrated data making possible to use machine based inferring to the data.

The cloud computing paradigm has been receiving much attention recently, and data management applications such as e-business are potential candidates for deployment in the cloud. In this paper, we introduce CloudCDI, which is a platform for collaborative integration and management of community information in the cloud. We present the architecture for CloudCDI, which is based on cloud computing framework to facilitate collaborative management and pay-as-you-go integration of data in data centers. Furthermore, a unified data model, Resource Net Model, is put forward to represent unstructured, semi-structured and structured data inside a single model. We design a hierarchical resource view model to enable best-effort cooperation for community members. In order to access data in CloudCDI conveniently and efficiently, a scaleable query model is also proposed to facilitate users to move seamlessly from one query mode to another.

Leveraging the motivation-opportunity-ability (MOA) theoretical framework and past research on psychological climate, this study analyzes three antecedent factors driving an individual’s knowledge-sharing (KS) within organizations: knowledge-sharing psychological climate as motivation, information management capability as ability, and organizational information technology support as opportunity. An empirical examination reveals that a motivating psychological climate has a primary impact on KS behavior, and the impact of perceived information management capability on sharing is mediated by the psychological climate. Perceived organizational use of information technology to support knowledge work bears strong influence on information management capabilities but not on sharing, suggesting that investment in IT does have indirect payoffs. The study is the first to position the opportunity→ability→motivation causal network in an individual’s KS behavior. The findings suggest that managers need to consider the pre-requisite roles of IT-enabled opportunities and workers’ information management abilities when building an all-important motivating climate to share.