Integrated Solution Support System for Water Management

Solving water management problems involves technical, social, economic, political and legal challenges and thus requires an integrated approach involving people from different backgrounds and roles. The integrated approach has been given a prominent role within the European Union¿s Water Framework Directive (WFD). The WFD requires an integrated approach in water management to achieve good ecological status of all water bodies. It consists amongst others of the following main planning stages: describing objectives, assessing present state, identifying gaps between objectives and present state, developing management plan, implementing measures and evaluating their impacts. The directive prescribes broad participation and consultation to achieve its objectives. Besides the obvious desktop software, such an integrated approach can benefit from using a variety of support tools. In addition to tools for specific tasks such as numerical models and questionnaires, knowledge bases on options and process support tools may be utilized. Water stress, defined as the lack of water of appropriate quality is one issue related to, but not specifically addressed by the WFD. However, like in the WFD, a participatory approach could be used to mitigate water stress. Similarly various tools can or need to be used in such a complex process. In the AquaStress Integrated project the Integrated Solution Support System (I3S ¿ I-triple-S) is developed. One of the cornerstones of the approach taken in AquaStress is that organizing available knowledge provides sufficient information to improve the possibility to make a water stress mitigation process truly end-user driven, meaning that dedicated local information is only collected after specific need is expressed by the stakeholders in the process. The novelty of the I3S lies in the combination of such knowledge stored in knowledge-bases, with adaptable workflow management facilities and with specific task-oriented tools ¿ all originating from different sources. This paper describes the I3S

Decision support tool for water management of double cropping rice system: water allocation

Besut Irrigation Scheme is one of the main rice growing areas in Malaysia. This scheme faces water scarcity especially during pre-saturation period with the traditional water supply. It is necessary to evolve an innovative approach for water distribution and management. A decision support tool was developed to improve decision-making with respect to water release policies and timely water distribution in the large double cropping rice irrigation project. The tool was designed to focus on water allocation and release decisions in rice growing area. The decision support tool includes database management, a model management, a knowledge base, and a user interface. The knowledge base of the decision support tool was developed from the knowledge derived from field experts and from the results of the model management system. This paper presents an integrated decision support tool for generating alternative water allocation based on water availability. Thus, the final output is given in the form of specific water management actions for the irrigated areas

Conversational Sensing

Recent developments in sensing technologies, mobile devices and context-aware user interfaces have made it possible to represent information fusion and situational awareness as a conversational process among actors - human and machine agents - at or near the tactical edges of a network. Motivated by use cases in the domain of security, policing and emergency response, this paper presents an approach to information collection, fusion and sense-making based on the use of natural language (NL) and controlled natural language (CNL) to support richer forms of human-machine interaction. The approach uses a conversational protocol to facilitate a flow of collaborative messages from NL to CNL and back again in support of interactions such as: turning eyewitness reports from human observers into actionable information (from both trained and untrained sources); fusing information from humans and physical sensors (with associated quality metadata); and assisting human analysts to make the best use of available sensing assets in an area of interest (governed by management and security policies). CNL is used as a common formal knowledge representation for both machine and human agents to support reasoning, semantic information fusion and generation of rationale for inferences, in ways that remain transparent to human users. Examples are provided of various alternative styles for user feedback, including NL, CNL and graphical feedback. A pilot experiment with human subjects shows that a prototype conversational agent is able to gather usable CNL information from untrained human subjects

Accounting for knowledge embedded in physical objects and environments : the role of artefacts in transferring knowledge

The intention to investigate the role of artefacts (objects and environments) in codifying, embedding and disseminating knowledge was inspired by an awareness that organisations across all sectors are increasingly being asked not only to provide products in the first instance, but also to support them throughout their service life. Thus a move from product-delivery to product-service designs is suggested. This paper considers ways in which knowledge can be embedded into the physical properties of artefacts and how this can consequently aid the dissemination and management of knowledge in and across stages of life cycles. A literature review and fieldwork based on an ethnomethodological approach are used to investigate this topic. Accounts of the situated meaning of artefacts within social processes are obtained using ethnographic armchair research. Unique adequacy is used to achieve an understanding of how people make sense of artefacts. The initial findings of the current research show that knowledge can be embedded or encoded into the physical properties of artefacts and that this can be successfully transferred from artefact to user

Gathering Knowledge from Social Knowledge Management Environments: Validation of an Anticipatory Standard

Knowledge management is more and more happening in social environments, supported by social software. This directly changes the way knowledge workers interact and the way information and communication technology is used. Recent studies, striving to provide a more appropriate support for knowledge work, face challenges when eliciting knowledge from user activities and maintaining its situatedness in context. Corresponding solutions in such social environments are not interoperable due to a lack of appropriate standards. To bridge this gap, we propose and validate a first specification of an anticipatory standard in this field. We illustrate its application and utility analyzing three scenarios. As main result we analyze the lessons learned and provide insights into further research and development of our approach. By that we reach out to stimulate discussion and raise support for this initiative towards establishing standards in the domain of knowledge management

Map Based WWW Tool for Recommending Forage Species

Selecting the “best” forage species or species mixture requires a knowledge and understanding of the consuming animal, soil characteristics, and forage species. The multivariate nature of the problem presents challenges to those interested in solving the practical problem of maximizing available resources. Earlier work at Cornell University resulted in a WWW-based interface that allowed the user to provide a soil type or zip code and additional management factors to initiate the species selection. This approach relies on either user knowledge of soil series or an implied relationship between zip code and soil series that may often be wrong. To improve this management tool, we have developed a working WWW-based map interface that allows the user to move to near field-scale where a “click” will link the map location to underlying soil series information (series id, drainage and slope classes). This information is then passed to the decision support component of the system where the species selection process occurs. This map-based approach takes advantage of the inherent spatial nature of the forage selection problem

Intelligent customer relationship management (ICRM) by EFLOW portal

Customer relationship management (CRM) has become a strategic initiative aimed at getting, growing, and retaining the right customers. A great amount of numeric data and even more soft information are available about customers. The strategy of building and maintaining customer relations can be described with 'if… then' rules acquired from experts. Doctus Knowledge-Based System provides a new and simplified approach in the field of knowledge management. It is able to cope with tacit and implicit rules at the same time, so decision makers can clearly see the satisfactory solution (then and there). It reasons both deductive and inductive, so it enables the user to check on the model graph why is the chosen solution in the given situation most appropriate. It is upgradeable with in telligent portal, which presents the personalized (body-tailored) information for decision makers. When we need some hard data from a database or a data warehouse, we have automatic connection between case input interface and the database. Doctus recognizes the relations between the data, it selects them and provides only the needed rules to the decision maker. Intelligent portal puts our experience on the web, so our knowledge base is constantly improving with new 'if… then' rules. We support decision mak ing with two interfaces. On the Developer Interface the attributes, the values and the 'if… then' rules can be modified. The intelligent portal is used as a managerial decision support tool. This interface can be used without seeing the knowledge base, we only see the personalized soft information. ICRM (intelligent Customer Relationship Management) helps customer to get the requested information quickly. It is also capable of customizing the questionnaires, so the customer doesn't have to answer irrelevant questions and the decision maker doesn't have to read endless reports

Use of the Internet by Health Professionals and Consumer Support Groups: a case analysis

This paper outlines case study research with Eye Believe a support group for patients who have had an eye removed usually (but not exclusively) due to ocular melanoma (cancer of the eye). It is a participative action research (PAR) project. The aim is to adopt a user-centric socio-technical approach to developing an online community to offer information and support to the group. The project will draw upon theories of knowledge creation and management through socialization, user participation in a health service context and the sociology of technology. In its initial stages the research was explorative. However, a conflict of interests immediately arose between the support group members and the health service representatives. Through this conflict it is anticipated that the research will now adopt a Critical Social Theory (CST) approach in aiming to empower the member\u27s of Eye Believe through their online community

A KNOWLEDGE BASED APPROACH FOR RESOURCE MANAGEMENT

This paper discusses the applicability of a knowledge based system to resource management in the context of information centers. The Information Center Expert (ICE) system has been developed in the MIS Department of the University of Arizona to support the consultation process of information center personnel. The system determines the (software) resource requirements of the end-users and makes appropriate recommendations. ICE further aids the management of the IC software resources by keeping track of user consultations and the recommendations made. Issues of knowledge requirements, acquisition, representation and implementation of ICE are discussed. ICE is currently being tested at IBM/Endicott (New York), IBM/Tucson (Arizona) and the Center for the Management of Information at the University of Arizona. Preliminary feedback from users has confirmed the applicability of the knowledge based approach to resource management. The implications of this approach for future research are discussed