Query Processing in a P2P Network of Taxonomy-based Information Sources

In this study we address the problem of answering queries over a peer-to-peer system of taxonomy-based sources. A taxonomy states subsumption relationships between negation-free DNF formulas on terms and negation-free conjunctions of terms. To the end of laying the foundations of our study, we first consider the centralized case, deriving the complexity of the decision problem and of query evaluation. We conclude by presenting an algorithm that is efficient in data complexity and is based on hypergraphs. We then move to the distributed case, and introduce a logical model of a network of taxonomy-based sources. On such network, a distributed version of the centralized algorithm is then presented, based on a message passing paradigm, and its correctness is proved. We finally discuss optimization issues, and relate our work to the literature

A survey of large-scale reasoning on the Web of data

As more and more data is being generated by sensor networks, social media and organizations, the Webinterlinking this wealth of information becomes more complex. This is particularly true for the so-calledWeb of Data, in which data is semantically enriched and interlinked using ontologies. In this large anduncoordinated environment, reasoning can be used to check the consistency of the data and of asso-ciated ontologies, or to infer logical consequences which, in turn, can be used to obtain new insightsfrom the data. However, reasoning approaches need to be scalable in order to enable reasoning over theentire Web of Data. To address this problem, several high-performance reasoning systems, whichmainly implement distributed or parallel algorithms, have been proposed in the last few years. Thesesystems differ significantly; for instance in terms of reasoning expressivity, computational propertiessuch as completeness, or reasoning objectives. In order to provide afirst complete overview of thefield,this paper reports a systematic review of such scalable reasoning approaches over various ontologicallanguages, reporting details about the methods and over the conducted experiments. We highlight theshortcomings of these approaches and discuss some of the open problems related to performing scalablereasoning

IDEAS-1997-2021-Final-Programs

This document records the final program for each of the 26 meetings of the International Database and Engineering Application Symposium from 1997 through 2021. These meetings were organized in various locations on three continents. Most of the papers published during these years are in the digital libraries of IEEE(1997-2007) or ACM(2008-2021)

A Semantic Information Management Approach for Improving Bridge Maintenance based on Advanced Constraint Management

Bridge rehabilitation projects are important for transportation infrastructures. This research proposes a novel information management approach based on state-of-the-art deep learning models and ontologies. The approach can automatically extract, integrate, complete, and search for project knowledge buried in unstructured text documents. The approach on the one hand facilitates implementation of modern management approaches, i.e., advanced working packaging to delivery success bridge rehabilitation projects, on the other hand improves information management practices in the construction industry

Data Quality Challenges in Net-Work Automation Systems Case Study of a Multinational Financial Services Corporation

With the emerging trends of IPv6 rollout, Bring Your Own Device, virtualization, cloud computing and the Internet of Things, corporations are continuously facing challenges regarding data collection and analysis processes for multiple purposes. These challenges can also be applied to network monitoring practices: available data is used not only to assess network capacity and latency, but to identify possible security breaches and bottlenecks in network performance. This study will focus on assessing the collected network data from a multinational financial services corporation on its quality and attempts to link the concept of network data quality with process automation of network management and monitoring. Information Technology (IT) can be perceived as the lifeblood within the financial services industry, yet within the discussed case study the corporation strives to cut down operational expenditures on IT by 2,5 to 5 percent. This study combines both theoretical and practical approaches by conducting a literature review followed by a case study of abovementioned financial organization. The literature review focuses on (a) the importance of data quality, (b) IP Address Management (IPAM), and (c) network monitoring practices. The case study discusses the implementation of a network automation solution powered by Infoblox hardware and software, which should be capable of scanning all devices in the network along with DHCP lease history while having the convenience of easy IP address management mapping. Their own defined monitoring maturity levels are also taken into consideration. Twelve data quality issues have been identified using the network data management platform during the timeline of the research which potentially hinder the network management lifecycle of monitoring, configuration, and deployment. While network management systems are not designed to identify, document, and repair data quality issues, representing the network’s performance in terms of capability, latency and behavior is dependent on data quality on the dimensions of completeness, timeliness and accuracy. The conclusion of the research is that the newly implemented network automation system has potential to achieve better decision-making for relevant stakeholders, and to eliminate business silos by centralizing network data to one platform, supporting business strategy on an operational, tactical, and strategic level; however, data quality is one of the biggest hurdles to overcome to achieve process automation and ultimately to achieve a passive network appliance monitoring system.siirretty Doriast

Welcome to Hell on Earth - Artificial Intelligence, Babies, Bitcoin, Cartels, China, Democracy, Diversity, Dysgenics, Equality, Hackers, Human Rights, Islam, Liberalism, Prosperity, The Web

America and the world are in the process of collapse from excessive population growth, most of it for the last century and now all of it due to 3rd world people. Consumption of resources and the addition of one or two billion more ca. 2100 will collapse industrial civilization and bring about starvation, disease, violence and war on a staggering scale. Billions will die and nuclear war is all but certain. In America this is being hugely accelerated by massive immigration and immigrant reproduction, combined with abuses made possible by democracy. Depraved human nature inexorably turns the dream of democracy and diversity into a nightmare of crime and poverty. The root cause of collapse is the inability of our innate psychology to adapt to the modern world, which leads people to treat unrelated persons as though they had common interests. This, plus ignorance of basic biology and psychology, leads to the social engineering delusions of the partially educated who control democratic societies. Few understand that if you help one person you harm someone else—there is no free lunch and every single item anyone consumes destroys the earth beyond repair. Consequently, social policies everywhere are unsustainable and one by one all societies without stringent controls on selfishness will collapse into anarchy or dictatorship. Without dramatic and immediate changes, there is no hope for preventing the collapse of America, or any country that follows a democratic system. Hence my essay “Suicide by Democracy”. It is also now clear that the seven sociopaths who rule China are winning world war 3, and so my concluding essay on them. The only greater threat is Artificial Intelligence which I comment on briefly. The key to everything about us is biology, and it is obliviousness to it that leads millions of smart educated people like Obama, Chomsky, Clinton, the Democratic Party and the Pope to espouse suicidal utopian ideals that inexorably lead straight to Hell on Earth. As W noted, it is what is always before our eyes that is the hardest to see. We live in the world of conscious deliberative linguistic System 2, but it is unconscious, automatic reflexive System 1 that rules. This is the source of the universal blindness described by Searle’s The Phenomenological Illusion (TPI), Pinker’s Blank Slate and Tooby and Cosmides’ Standard Social Science Model. The first group of articles attempt to give some insight into how we behave that is reasonably free of theoretical delusions. In the next three groups I comment on three of the principal delusions preventing a sustainable world— technology, religion and politics (cooperative groups). People believe that society can be saved by them, so I provide some suggestions in the rest of the book as to why this is unlikely via short articles and reviews of recent books by well-known writers. Another section describes the religious delusion – that there is some super power that will save us. The next section describes the digital delusions, which confuse the language games of System 2 with the automatisms of System one, and so cannot distinguish biological machines (i.e., people) from other kinds of machines (i.e., computers). Other digital delusions are that we will be saved from the pure evil (selfishness) of System 1 by computers/AI/robotics/nanotech/genetic engineering created by System 2. The No Free Lunch principal tells us there will be serious and possibly fatal consequences. The last section describes The One Big Happy Family Delusion, i.e., that we are selected for cooperation with everyone, and that the euphonious ideals of Democracy, Diversity and Equality will lead us into utopia, if we just manage things correctly (the possibility of politics). Again, the No Free Lunch Principle ought to warn us it cannot be true, and we see throughout history and all over the contemporary world, that without strict controls, selfishness and stupidity gain the upper hand and soon destroy any nation that embraces these delusions. In addition, the monkey mind steeply discounts the future, and so we cooperate in selling our descendant’s heritage for temporary comforts, greatly exacerbating the problems