Ontology Based Data Access Leveraging Subjective Reports

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Ontology-Based Data Access Leveraging Subjective Reports

Gerardo I. Simari,Cristian Molinaro,Maria Vanina Martinez,Thomas Lukasiewicz,Livia Predoiu
Ontology Based Data Access Leveraging Subjective Reports Book PDF

Author : Gerardo I. Simari,Cristian Molinaro,Maria Vanina Martinez,Thomas Lukasiewicz,Livia Predoiu
Publisher : Springer
Page : 77 pages
File Size : 50,9 Mb
Release : 2017-09-22
Category : Computers
ISBN : 9783319652290

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Ontology-Based Data Access Leveraging Subjective Reports by Gerardo I. Simari,Cristian Molinaro,Maria Vanina Martinez,Thomas Lukasiewicz,Livia Predoiu Pdf

This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user’s preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author’s preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user’s preferences and their trust in each report, to rank the query results. Everyday examples of this setup are the online reviews that can be found in sites like Amazon, Trip Advisor, and Yelp, among many others. Throughout this knowledge engineering effort the authors adopt the Datalog+/– family of ontology languages as the underlying knowledge representation and reasoning formalism, and investigate several alternative ways in which rankings can b e derived, along with algorithms for top-k (atomic) query answering under these rankings. This SpringerBrief also investigate assumptions under which our algorithms run in polynomial time in the data complexity. Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools. Practitioners also interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences.

Ontology-based Data Access Leveraging Subjective Reports

Anonim
Ontology based Data Access Leveraging Subjective Reports Book PDF

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 45,7 Mb
Release : 2017
Category : Data mining
ISBN : 3319652303

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Ontology-based Data Access Leveraging Subjective Reports by Anonim Pdf

This SpringerBrief reviews the knowledge engineering problem of engineering objectivity in top-k query answering; essentially, answers must be computed taking into account the user's preferences and a collection of (subjective) reports provided by other users. Most assume each report can be seen as a set of scores for a list of features, its author's preferences among the features, as well as other information is discussed in this brief. These pieces of information for every report are then combined, along with the querying user's preferences and their trust in each report, to rank the query results. Everyday examples of this setup are the online reviews that can be found in sites like Amazon, Trip Advisor, and Yelp, among many others. Throughout this knowledge engineering effort the authors adopt the Datalog+/- family of ontology languages as the underlying knowledge representation and reasoning formalism, and investigate several alternative ways in which rankings can b e derived, along with algorithms for top-k (atomic) query answering under these rankings. This SpringerBrief also investigate assumptions under which our algorithms run in polynomial time in the data complexity. Since this SpringerBrief contains a gentle introduction to the main building blocks (OBDA, Datalog+/-, and reasoning with preferences), it should be of value to students, researchers, and practitioners who are interested in the general problem of incorporating user preferences into related formalisms and tools. Practitioners also interested in using Ontology-based Data Access to leverage information contained in reviews of products and services for a better customer experience will be interested in this brief and researchers working in the areas of Ontological Languages, Semantic Web, Data Provenance, and Reasoning with Preferences.

Reasoning Web. Explainable Artificial Intelligence

Markus Krötzsch,Daria Stepanova
Reasoning Web Explainable Artificial Intelligence Book PDF

Author : Markus Krötzsch,Daria Stepanova
Publisher : Springer Nature
Page : 294 pages
File Size : 50,8 Mb
Release : 2019-09-17
Category : Computers
ISBN : 9783030314231

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Reasoning Web. Explainable Artificial Intelligence by Markus Krötzsch,Daria Stepanova Pdf

This volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzano, Italy, in September 2019. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.

Scalable Uncertainty Management

Umberto Straccia,Andrea Cali
Scalable Uncertainty Management Book PDF

Author : Umberto Straccia,Andrea Cali
Publisher : Springer
Page : 329 pages
File Size : 53,9 Mb
Release : 2014-09-08
Category : Computers
ISBN : 9783319115085

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Scalable Uncertainty Management by Umberto Straccia,Andrea Cali Pdf

This book constitutes the refereed proceedings of the 8th International Conference on Scalable Uncertainty Management, SUM 2014, held in Oxford, UK, in September 2014. The 20 revised full papers and 6 revised short papers were carefully reviewed and selected from 47 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Semantic Data Mining

A. Ławrynowicz
Semantic Data Mining Book PDF

Author : A. Ławrynowicz
Publisher : IOS Press
Page : 210 pages
File Size : 50,9 Mb
Release : 2017-04-18
Category : Computers
ISBN : 9781614997467

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Semantic Data Mining by A. Ławrynowicz Pdf

Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining – a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data. The introductory chapters of the book provide theoretical foundations of both data mining and ontology representation. Taking a unified perspective, the book then covers several methods for semantic data mining, addressing tasks such as pattern mining, classification and similarity-based approaches. It attempts to provide state-of-the-art answers to specific challenges and peculiarities of data mining with use of ontologies, in particular: How to deal with incompleteness of knowledge and the so-called Open World Assumption? What is a truly “semantic” similarity measure? The book contains several chapters with examples of applications of semantic data mining. The examples start from a scenario with moderate use of lightweight ontologies for knowledge graph enrichment and end with a full-fledged scenario of an intelligent knowledge discovery assistant using complex domain ontologies for meta-mining, i.e., an ontology-based meta-learning approach to full data mining processes. The book is intended for researchers in the fields of semantic technologies, knowledge engineering, data science, and data mining, and developers of knowledge-based systems and applications.

NeOn Methodology for Building Ontology Networks

Mari Carmen Suárez-Figueroa
NeOn Methodology for Building Ontology Networks Book PDF

Author : Mari Carmen Suárez-Figueroa
Publisher : Ios PressInc
Page : 292 pages
File Size : 53,6 Mb
Release : 2012
Category : Computers
ISBN : 1614991154

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NeOn Methodology for Building Ontology Networks by Mari Carmen Suárez-Figueroa Pdf

A new ontology development paradigm has started its emphasis lies on the reuse and possible subsequent reengineering of knowledge resources, on the collaborative and argumentative ontology development, and on the building of ontology networks this new trend is the opposite of building new ontologies from scratch. To help ontology developers in this new paradigm, it is important to provide strong methodological support.However, up to date, there are no methodological approaches that help ontology developers to build large ontologies embedded in ontology networks in complex settings where distributed teams could

Foundations of Intelligent Systems

Aijun An,Stan Matwin,Zbigniew W. Ras,Dominik Slezak
Foundations of Intelligent Systems Book PDF

Author : Aijun An,Stan Matwin,Zbigniew W. Ras,Dominik Slezak
Publisher : Springer
Page : 653 pages
File Size : 54,7 Mb
Release : 2008-05-10
Category : Computers
ISBN : 9783540681236

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Foundations of Intelligent Systems by Aijun An,Stan Matwin,Zbigniew W. Ras,Dominik Slezak Pdf

This volume contains the papers selected for presentation at the 17th Inter- tional Symposium on Methodologies for Intelligent Systems (ISMIS 2008), held in York University, Toronto, Canada, May 21–23, 2008. ISMIS is a conference series started in 1986. Held twice every three years, ISMIS provides an inter- tional forum for exchanging scienti?c research and technological achievements in building intelligent systems. Its goal is to achieve a vibrant interchange - tween researchers and practitioners on fundamental and advanced issues related to intelligent systems. ISMIS 2008featureda selectionof latestresearchworkandapplicationsfrom the following areas related to intelligent systems: active media human–computer interaction, autonomic and evolutionary computation, digital libraries, intel- gent agent technology, intelligent information retrieval, intelligent information systems, intelligent language processing, knowledge representation and integ- tion, knowledge discovery and data mining, knowledge visualization, logic for arti?cial intelligence, soft computing, Web intelligence, and Web services. - searchers and developers from 29 countries submitted more than 100 full - pers to the conference. Each paper was rigorously reviewed by three committee members and external reviewers. Out of these submissions, 40% were selected as regular papers and 22% as short papers. ISMIS 2008 also featured three plenary talks given by John Mylopoulos, Jiawei Han and Michael Lowry. They spoke on their recent research in age- oriented software engineering, information network mining, and intelligent so- ware engineering tools, respectively.

Social Science Research

Anol Bhattacherjee
Social Science Research Book PDF

Author : Anol Bhattacherjee
Publisher : CreateSpace
Page : 156 pages
File Size : 43,7 Mb
Release : 2012-04-01
Category : Science
ISBN : 1475146124

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Social Science Research by Anol Bhattacherjee Pdf

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Big Data

Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
Big Data Book PDF

Author : Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
Publisher : Springer
Page : 100 pages
File Size : 40,6 Mb
Release : 2014-05-05
Category : Computers
ISBN : 9783319062457

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Big Data by Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung Pdf

This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

International Encyclopedia of Human Geography

Anonim
International Encyclopedia of Human Geography Book PDF

Author : Anonim
Publisher : Elsevier
Page : 7278 pages
File Size : 46,5 Mb
Release : 2019-11-29
Category : Social Science
ISBN : 9780081022962

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International Encyclopedia of Human Geography by Anonim Pdf

International Encyclopedia of Human Geography, Second Edition, Fourteen Volume Set embraces diversity by design and captures the ways in which humans share places and view differences based on gender, race, nationality, location and other factors—in other words, the things that make people and places different. Questions of, for example, politics, economics, race relations and migration are introduced and discussed through a geographical lens. This updated edition will assist readers in their research by providing factual information, historical perspectives, theoretical approaches, reviews of literature, and provocative topical discussions that will stimulate creative thinking. Presents the most up-to-date and comprehensive coverage on the topic of human geography Contains extensive scope and depth of coverage Emphasizes how geographers interact with, understand and contribute to problem-solving in the contemporary world Places an emphasis on how geography is relevant in a social and interdisciplinary context

Information Extraction: Algorithms and Prospects in a Retrieval Context

Marie-Francine Moens
Information Extraction Algorithms and Prospects in a Retrieval Context Book PDF

Author : Marie-Francine Moens
Publisher : Springer Science & Business Media
Page : 255 pages
File Size : 51,8 Mb
Release : 2006-10-10
Category : Language Arts & Disciplines
ISBN : 9781402049934

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Information Extraction: Algorithms and Prospects in a Retrieval Context by Marie-Francine Moens Pdf

This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.

Data Technology in Materials Modelling

Martin Horsch,Silvia Chiacchiera,Welchy Leite Cavalcanti,Björn Schembera
Data Technology in Materials Modelling Book PDF

Author : Martin Horsch,Silvia Chiacchiera,Welchy Leite Cavalcanti,Björn Schembera
Publisher : Unknown
Page : 128 pages
File Size : 45,6 Mb
Release : 2021
Category : Electronic books
ISBN : 3030685985

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Data Technology in Materials Modelling by Martin Horsch,Silvia Chiacchiera,Welchy Leite Cavalcanti,Björn Schembera Pdf

This open access book discusses advances in semantic interoperability for materials modelling, aiming at integrating data obtained from different methods and sources into common frameworks, and facilitating the development of platforms where simulation services in computational molecular engineering can be provided as well as coupled and linked to each other in a standardized and reliable way. The Virtual Materials Marketplace (VIMMP), which is open to all service providers and clients, provides a framework for offering and accessing such services, assisting the uptake of novel modelling and simulation approaches by SMEs, consultants, and industrial R&D end users. Semantic assets presented include the EngMeta metadata schema for research data infrastructures in simulation-based engineering and the collection of ontologies from VIMMP, including the ontology for simulation, modelling, and optimization (OSMO) and the VIMMP software ontology (VISO).

Formal Ontologies Meet Industry

Stefano Borgo,Leonardo Lesmo
Formal Ontologies Meet Industry Book PDF

Author : Stefano Borgo,Leonardo Lesmo
Publisher : IOS Press
Page : 168 pages
File Size : 54,6 Mb
Release : 2008
Category : Business & Economics
ISBN : 9781586038717

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Formal Ontologies Meet Industry by Stefano Borgo,Leonardo Lesmo Pdf

The success of the methodologies associated with knowledge modeling and ontologies led to increased need of a comparison between different approaches and results. This book focuses on ontology in relation to business, enterprise, enterprise knowledge, practice and linguistics.

Indigenous Data Sovereignty

Tahu Kukutai,John Taylor
Indigenous Data Sovereignty Book PDF

Author : Tahu Kukutai,John Taylor
Publisher : ANU Press
Page : 344 pages
File Size : 46,6 Mb
Release : 2016-11-14
Category : Social Science
ISBN : 9781760460310

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Indigenous Data Sovereignty by Tahu Kukutai,John Taylor Pdf

As the global ‘data revolution’ accelerates, how can the data rights and interests of indigenous peoples be secured? Premised on the United Nations Declaration on the Rights of Indigenous Peoples, this book argues that indigenous peoples have inherent and inalienable rights relating to the collection, ownership and application of data about them, and about their lifeways and territories. As the first book to focus on indigenous data sovereignty, it asks: what does data sovereignty mean for indigenous peoples, and how is it being used in their pursuit of self-determination? The varied group of mostly indigenous contributors theorise and conceptualise this fast-emerging field and present case studies that illustrate the challenges and opportunities involved. These range from indigenous communities grappling with issues of identity, governance and development, to national governments and NGOs seeking to formulate a response to indigenous demands for data ownership. While the book is focused on the CANZUS states of Canada, Australia, Aotearoa/New Zealand and the United States, much of the content and discussion will be of interest and practical value to a broader global audience. ‘A debate-shaping book … it speaks to a fast-emerging field; it has a lot of important things to say; and the timing is right.’ — Stephen Cornell, Professor of Sociology and Faculty Chair of the Native Nations Institute, University of Arizona ‘The effort … in this book to theorise and conceptualise data sovereignty and its links to the realisation of the rights of indigenous peoples is pioneering and laudable.’ — Victoria Tauli-Corpuz, UN Special Rapporteur on the Rights of Indigenous Peoples, Baguio City, Philippines

Ontology Matching

Jérôme Euzenat,Pavel Shvaiko
Ontology Matching Book PDF

Author : Jérôme Euzenat,Pavel Shvaiko
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 48,8 Mb
Release : 2007-06-15
Category : Computers
ISBN : 9783540496120

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Ontology Matching by Jérôme Euzenat,Pavel Shvaiko Pdf

Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more.