Web Data Extraction, Applications and Techniques: A Survey

Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data from the Web have been designed to solve specific problems and operate in ad-hoc domains. Other approaches, instead, heavily reuse techniques and algorithms developed in the field of Information Extraction. This survey aims at providing a structured and comprehensive overview of the literature in the field of Web Data Extraction. We provided a simple classification framework in which existing Web Data Extraction applications are grouped into two main classes, namely applications at the Enterprise level and at the Social Web level. At the Enterprise level, Web Data Extraction techniques emerge as a key tool to perform data analysis in Business and Competitive Intelligence systems as well as for business process re-engineering. At the Social Web level, Web Data Extraction techniques allow to gather a large amount of structured data continuously generated and disseminated by Web 2.0, Social Media and Online Social Network users and this offers unprecedented opportunities to analyze human behavior at a very large scale. We discuss also the potential of cross-fertilization, i.e., on the possibility of re-using Web Data Extraction techniques originally designed to work in a given domain, in other domains.Comment: Knowledge-based System

Changing Practice in a National Legal Deposit Library

This two-part essay considers how digital culture has influenced ideas about permanence and looks at the change in collecting practice in a legal deposit library. The author asks: how is the idea of permanence, understood in cultural heritage terms, influencing digital culture and thus digital technology? The first part of the essay touches upon the concepts associated with permanence, digital culture, digital technology, social change, and cultural institutions, in relation to collecting digital cultural material. The second part of this essay focuses on the change in collecting practice of the Alexander Turnbull Library (Turnbull Library) at the National Library of New Zealand in developing its heritage collection of electronically published material with the benefit of legal deposit, with a particular focus on the change in practice to include the collection of online publications

Simulation of site-specific irrigation control strategies with sparse input data

Crop and irrigation water use efficiencies may be improved by managing irrigation application timing and volumes using physical and agronomic principles. However, the crop water requirement may be spatially variable due to different soil properties and genetic variations in the crop across the field. Adaptive control strategies can be used to locally control water applications in response to in-field temporal and spatial variability with the aim of maximising both crop development and water use efficiency. A simulation framework ‘VARIwise’ has been created to aid the development, evaluation and management of spatially and temporally varied adaptive irrigation control strategies (McCarthy et al., 2010). VARIwise enables alternative control strategies to be simulated with different crop and environmental conditions and at a range of spatial resolutions. An iterative learning controller and model predictive controller have been implemented in VARIwise to improve the irrigation of cotton. The iterative learning control strategy involves using the soil moisture response to the previous irrigation volume to adjust the applied irrigation volume applied at the next irrigation event. For field implementation this controller has low data requirements as only soil moisture data is required after each irrigation event. In contrast, a model predictive controller has high data requirements as measured soil and plant data are required at a high spatial resolution in a field implementation. Model predictive control involves using a calibrated model to determine the irrigation application and/or timing which results in the highest predicted yield or water use efficiency. The implementation of these strategies is described and a case study is presented to demonstrate the operation of the strategies with various levels of data availability. It is concluded that in situations of sparse data, the iterative learning controller performs significantly better than a model predictive controller

Air pollution and livestock production

The air in a livestock farming environment contains high concentrations of dust particles and gaseous pollutants. The total inhalable dust can enter the nose and mouth during normal breathing and the thoracic dust can reach into the lungs. However, it is the respirable dust particles that can penetrate further into the gas-exchange region, making it the most hazardous dust component. Prolonged exposure to high concentrations of dust particles can lead to respiratory health issues for both livestock and farming staff. Ammonia, an example of a gaseous pollutant, is derived from the decomposition of nitrous compounds. Increased exposure to ammonia may also have an effect on the health of humans and livestock. There are a number of technologies available to ensure exposure to these pollutants is minimised. Through proactive means, (the optimal design and management of livestock buildings) air quality can be improved to reduce the likelihood of risks associated with sub-optimal air quality. Once air problems have taken hold, other reduction methods need to be applied utilising a more reactive approach. A key requirement for the control of concentration and exposure of airborne pollutants to an acceptable level is to be able to conduct real-time measurements of these pollutants. This paper provides a review of airborne pollution including methods to both measure and control the concentration of pollutants in livestock buildings

JISC Preservation of Web Resources (PoWR) Handbook

Handbook of Web Preservation produced by the JISC-PoWR project which ran from April to November 2008. The handbook specifically addresses digital preservation issues that are relevant to the UK HE/FE web management community”. The project was undertaken jointly by UKOLN at the University of Bath and ULCC Digital Archives department

Wireless sensors and IoT platform for intelligent HVAC control

Energy consumption of buildings (residential and non-residential) represents approximately 40% of total world electricity consumption, with half of this energy consumed by HVAC systems. Model-Based Predictive Control (MBPC) is perhaps the technique most often proposed for HVAC control, since it offers an enormous potential for energy savings. Despite the large number of papers on this topic during the last few years, there are only a few reported applications of the use of MBPC for existing buildings, under normal occupancy conditions and, to the best of our knowledge, no commercial solution yet. A marketable solution has been recently presented by the authors, coined the IMBPC HVAC system. This paper describes the design, prototyping and validation of two components of this integrated system, the Self-Powered Wireless Sensors and the IOT platform developed. Results for the use of IMBPC in a real building under normal occupation demonstrate savings in the electricity bill while maintaining thermal comfort during the whole occupation schedule.QREN SIDT [38798]; Portuguese Foundation for Science & Technology, through IDMEC, under LAETA [ID/EMS/50022/2013

Water in the Green Economy: Capacity Development Aspects

This book discusses needs related to capacity development for water resources management, including water supply and sanitation, in the context of the green economy. It showcases theoretical and practical approaches with proven success. Most contributions come from members and partners within the interagency mechanism, UN-Water. The 11 case studies in this book range from innovative design and delivery of capacity development programs related to water in the green economy, market mechanisms, and quality control procedures supporting capacity development success towards the practical implementation of programs to enhance individual and institutional capacity

Overcoming water scarcity and quality constraints:

CONTENTS: Brief 1. Overview / Ruth S. Meinzen-Dick and Mark W. Rosegrant Brief 2. Water for Food Production / Mark W. Rosegrant and Ximing Cai Brief 3. Domestic Water Supply, Hygiene, and Sanitation / Hans van Damme Brief 4. Emerging Water Quality Problems in Developing Countries / Wim van der Hoeck - -Brief 5. Water and Rural Livelihoods / Linden Vincent Brief 6. Water and the Environment / Elro Bos and Ger Bergkamp Brief 7. Dams and Water Storage / Jeremy Bird and Pamela Wallace Brief 8. Groundwater: Potential and Constraints / Marcus Moench Brief 9. Water Harvesting and Watershed Management / John Kerr and Ganesh Pangare Brief 10. Water Pricing: Potential and Problems / R. Maria Saleth Brief 11. Markets for Tradable Water Rights / Karin E. Kemper Brief 12. Recognizing Water Rights / Franz and Keebet von Benda-Beckmann Brief 12. Integrated Management of Water in River Basins / Mark Svendsen Brief 13.Water, Conflict, and Cooperation / Aaron T. WolfWater quality management., Water rights., Water-supply,

Aquaculture Asia, vol. 8, no. 4, pp.1-52, October - December 2003

CONTENTS: Freshwater prawn, Macrobrachium nobilii a promising candidate for rural nutrition, by Pitchimuthu Mariappan, P. Balamurugan, and Chellam Balasundaram. Snapshots of a clean, innovative, socially responsible fishfarm in Sri Lanka, by Pedro Bueno. Introduction of rainbow trout Onchorynchus mykiss in Nepal: Constraints and prospects, by Tek Bahadur Gurung, Sadhu Ram Basnet. Tilapia seed production in Ho Chi Minh City, Southern Vietnam, by H. P. V. Huy, A. MacNiven, N. V. Tu, Ram C. Bhujel and David C. Little. Seaweed Mariculture: Scope And Potential In India, by Sajid I. Khan and S. B. Satam. Growth enhancement of carp and prawn through dietary sodium chloride supplementation, by P.Keshavanath, B. Gangadhara and Savitha Khadri. Fertilization, soil and water quality management in small-scale ponds, by S. Adhikari Shrimp harvesting technology on the south west coast of Bangladesh, by S. M. Nazmul Alam, Michael J. Phillips and C. K. Lin. The “Gher Revolution”, by M.C. Nandeesha [Farmers as Scientists series] Aquaculture Compendium – case study component, by Peter Edwards. Rice-Fish Culture in China, by Fang Xiuzhen. Exercising responsibilities to tackle aquatic animal diseases, by CV Mohan. Application of immunostimulants in larviculture: Feasibility and challenges, by ZhouJin. Marine Finfish Sectio

AGI for Agriculture

Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education. Within healthcare, AGI is being utilized to analyze clinical medical notes, recognize patterns in patient data, and aid in patient management. Agriculture is another critical sector that impacts the lives of individuals worldwide. It serves as a foundation for providing food, fiber, and fuel, yet faces several challenges, such as climate change, soil degradation, water scarcity, and food security. AGI has the potential to tackle these issues by enhancing crop yields, reducing waste, and promoting sustainable farming practices. It can also help farmers make informed decisions by leveraging real-time data, leading to more efficient and effective farm management. This paper delves into the potential future applications of AGI in agriculture, such as agriculture image processing, natural language processing (NLP), robotics, knowledge graphs, and infrastructure, and their impact on precision livestock and precision crops. By leveraging the power of AGI, these emerging technologies can provide farmers with actionable insights, allowing for optimized decision-making and increased productivity. The transformative potential of AGI in agriculture is vast, and this paper aims to highlight its potential to revolutionize the industry