Ontology Based Data Access Leveraging Subjective Reports

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Ontology-Based Data Access Leveraging Subjective Reports

Author : Gerardo I. Simari
Publisher : Springer
ISBN 13 : 331965229X
Total Pages : 83 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Ontology-Based Data Access Leveraging Subjective Reports by : Gerardo I. Simari

Download or read book Ontology-Based Data Access Leveraging Subjective Reports written by Gerardo I. Simari and published by Springer. This book was released on 2017-09-22 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author :
Publisher :
ISBN 13 : 9783319652306
Total Pages : pages
Book Rating : 4.6/5 (523 download)

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Book Synopsis Ontology-based Data Access Leveraging Subjective Reports by :

Download or read book Ontology-based Data Access Leveraging Subjective Reports written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Markus Krötzsch
Publisher : Springer Nature
ISBN 13 : 3030314235
Total Pages : 294 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Reasoning Web. Explainable Artificial Intelligence by : Markus Krötzsch

Download or read book Reasoning Web. Explainable Artificial Intelligence written by Markus Krötzsch and published by Springer Nature. This book was released on 2019-09-17 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Umberto Straccia
Publisher : Springer
ISBN 13 : 3319115081
Total Pages : 329 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Scalable Uncertainty Management by : Umberto Straccia

Download or read book Scalable Uncertainty Management written by Umberto Straccia and published by Springer. This book was released on 2014-09-08 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bootstrapping Ontology-based Data Access Specifications from Relational Databases

Author : Philipp Martis
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (15 download)

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Book Synopsis Bootstrapping Ontology-based Data Access Specifications from Relational Databases by : Philipp Martis

Download or read book Bootstrapping Ontology-based Data Access Specifications from Relational Databases written by Philipp Martis and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Using Ontology-based Data Access to Enable Context Recognition in the Presence of Incomplete Information

Author : Veronika Thost
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (1 download)

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Book Synopsis Using Ontology-based Data Access to Enable Context Recognition in the Presence of Incomplete Information by : Veronika Thost

Download or read book Using Ontology-based Data Access to Enable Context Recognition in the Presence of Incomplete Information written by Veronika Thost and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Ontology Based Semantic Data Management for Pandisciplinary Research Projects

Author : Marius Politze
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (124 download)

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Book Synopsis Ontology Based Semantic Data Management for Pandisciplinary Research Projects by : Marius Politze

Download or read book Ontology Based Semantic Data Management for Pandisciplinary Research Projects written by Marius Politze and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Query Processing in Ontology Based Data Access

Author : Majid Askar
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (118 download)

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Book Synopsis Query Processing in Ontology Based Data Access by : Majid Askar

Download or read book Query Processing in Ontology Based Data Access written by Majid Askar and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Semantic Data Mining

Author : A. Ławrynowicz
Publisher : IOS Press
ISBN 13 : 1614997462
Total Pages : 210 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Semantic Data Mining by : A. Ławrynowicz

Download or read book Semantic Data Mining written by A. Ławrynowicz and published by IOS Press. This book was released on 2017-04-18 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multi-Disciplinary Engineering for Cyber-Physical Production Systems

Author : Stefan Biffl
Publisher : Springer
ISBN 13 : 3319563459
Total Pages : 474 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Multi-Disciplinary Engineering for Cyber-Physical Production Systems by : Stefan Biffl

Download or read book Multi-Disciplinary Engineering for Cyber-Physical Production Systems written by Stefan Biffl and published by Springer. This book was released on 2017-05-06 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses challenges and solutions for the required information processing and management within the context of multi-disciplinary engineering of production systems. The authors consider methods, architectures, and technologies applicable in use cases according to the viewpoints of product engineering and production system engineering, and regarding the triangle of (1) product to be produced by a (2) production process executed on (3) a production system resource. With this book industrial production systems engineering researchers will get a better understanding of the challenges and requirements of multi-disciplinary engineering that will guide them in future research and development activities. Engineers and managers from engineering domains will be able to get a better understanding of the benefits and limitations of applicable methods, architectures, and technologies for selected use cases. IT researchers will be enabled to identify research issues related to the development of new methods, architectures, and technologies for multi-disciplinary engineering, pushing forward the current state of the art.

Social Science Research

Author : Anol Bhattacherjee
Publisher : CreateSpace
ISBN 13 : 9781475146127
Total Pages : 156 pages
Book Rating : 4.1/5 (461 download)

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Book Synopsis Social Science Research by : Anol Bhattacherjee

Download or read book Social Science Research written by Anol Bhattacherjee and published by CreateSpace. This book was released on 2012-04-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Agile Database Techniques

Author : Scott Ambler
Publisher : John Wiley & Sons
ISBN 13 : 1118081366
Total Pages : 482 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Agile Database Techniques by : Scott Ambler

Download or read book Agile Database Techniques written by Scott Ambler and published by John Wiley & Sons. This book was released on 2012-09-17 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes Agile Modeling Driven Design (AMDD) and Test-Driven Design (TDD) approaches, database refactoring, database encapsulation strategies, and tools that support evolutionary techniques Agile software developers often use object and relational database (RDB) technology together and as a result must overcome the impedance mismatch The author covers techniques for mapping objects to RDBs and for implementing concurrency control, referential integrity, shared business logic, security access control, reports, and XML An agile foundation describes fundamental skills that all agile software developers require, particularly Agile DBAs Includes object modeling, UML data modeling, data normalization, class normalization, and how to deal with legacy databases Scott W. Ambler is author of Agile Modeling (0471202827), a contributing editor with Software Development (www.sdmagazine.com), and a featured speaker at software conferences worldwide

Perspectives on Ontology Learning

Author : J. Lehmann
Publisher : IOS Press
ISBN 13 : 1614993793
Total Pages : 299 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Perspectives on Ontology Learning by : J. Lehmann

Download or read book Perspectives on Ontology Learning written by J. Lehmann and published by IOS Press. This book was released on 2014-04-03 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.

Information Extraction: Algorithms and Prospects in a Retrieval Context

Author : Marie-Francine Moens
Publisher : Springer Science & Business Media
ISBN 13 : 1402049935
Total Pages : 255 pages
Book Rating : 4.4/5 (2 download)

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

Download or read book Information Extraction: Algorithms and Prospects in a Retrieval Context written by Marie-Francine Moens and published by Springer Science & Business Media. This book was released on 2006-10-10 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

OntoCAPE

Author : Wolfgang Marquardt
Publisher : Springer Science & Business Media
ISBN 13 : 364204655X
Total Pages : 493 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis OntoCAPE by : Wolfgang Marquardt

Download or read book OntoCAPE written by Wolfgang Marquardt and published by Springer Science & Business Media. This book was released on 2009-12-16 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivation for this Book Ontologies have received increasing attention over the last two decades. Their roots can be traced back to the ancient philosophers, who were interested in a c- ceptualization of the world. In the more recent past, ontologies and ontological engineering have evolved in computer science, building on various roots such as logics, knowledge representation, information modeling and management, and (knowledge-based) information systems. Most recently, largely driven by the next generation internet, the so-called Semantic Web, ontological software engineering has developed into a scientific field of its own, which puts particular emphasis on the theoretical foundations of representation and reasoning, and on the methods and tools required for building ontology-based software applications in diverse domains. Though this field is largely dominated by computer science, close re- tionships have been established with its diverse areas of application, where - searchers are interested in exploiting the results of ontological software engine- ing, particularly to build large knowledge-intensive applications at high productivity and low maintenance effort. Consequently, a large number of scientific papers and monographs have been p- lished in the very recent past dealing with the theory and practice of ontological software engineering. So far, the majority of those books are dedicated to the th- retical foundations of ontologies, including philosophical treatises and their re- tionships to established methods in information systems and ontological software engineering.

Foundations of Intelligent Systems

Author : Aijun An
Publisher : Springer
ISBN 13 : 354068123X
Total Pages : 667 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Foundations of Intelligent Systems by : Aijun An

Download or read book Foundations of Intelligent Systems written by Aijun An and published by Springer. This book was released on 2008-05-10 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Frontiers in Massive Data Analysis

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309287812
Total Pages : 191 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Frontiers in Massive Data Analysis by : National Research Council

Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.