Applications And Practices In Ontology Design Extraction And Reasoning

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Applications and Practices in Ontology Design, Extraction, and Reasoning

Author : G. Cota,M. Daquino,G.L. Pozzato
Publisher : IOS Press
Page : 244 pages
File Size : 42,9 Mb
Release : 2020-12-02
Category : Computers
ISBN : 9781643681436

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Applications and Practices in Ontology Design, Extraction, and Reasoning by G. Cota,M. Daquino,G.L. Pozzato Pdf

Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. They have been in use for several years now, and knowledge extraction and knowledge discovery are two key aspects investigated in a number of research fields which can potentially benefit from the application of semantic web technologies, and specifically from the development and reuse of ontologies. This book, Applications and Practices in Ontology Design, Extraction, and Reasoning, has as its main goal the provision of an overview of application fields for semantic web technologies. In particular, it investigates how state-of-the-art formal languages, models, methods, and applications of semantic web technologies reframe research questions and approaches in a number of research fields. The book also aims to showcase practical tools and background knowledge for the building and querying of ontologies. The first part of the book presents the state-of-the-art of ontology design, applications and practices in a number of communities, and in doing so it provides an overview of the latest approaches and techniques for building and reusing ontologies according to domain-dependent and independent requirements. Once the data is represented according to ontologies, it is important to be able to query and reason about them, also in the presence of uncertainty, vagueness and probabilities. The second part of the book covers some of the latest advances in the fields of ontology, semantics and reasoning, without losing sight of the book’s practical goals.

Ontology Engineering with Ontology Design Patterns: Foundations and Applications

Author : P. Hitzler,A. Gangemi,K. Janowicz
Publisher : IOS Press
Page : 388 pages
File Size : 50,9 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9781614996767

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Ontology Engineering with Ontology Design Patterns: Foundations and Applications by P. Hitzler,A. Gangemi,K. Janowicz Pdf

The use of ontologies for data and knowledge organization has become ubiquitous in many data-intensive and knowledge-driven application areas, in science, industry, and the humanities. At the same time, ontology engineering best practices continue to evolve. In particular, modular ontology modeling based on ontology design patterns is establishing itself as an approach for creating versatile and extendable ontologies for data management and integration. This book is the very first comprehensive treatment of Ontology Engineering with Ontology Design Patterns. It contains both advanced and introductory material accessible for readers with only a minimal background in ontology modeling. Some introductory material is written in the style of tutorials, and specific chapters are devoted to examples and to applications. Other chapters convey the state of the art in research regarding ontology design patterns. The editors and the contributing authors include the leading contributors to the development of ontology-design-pattern-driven ontology engineering.

Automated Reasoning

Author : Jasmin Blanchette,Laura Kovács,Dirk Pattinson
Publisher : Springer Nature
Page : 756 pages
File Size : 50,8 Mb
Release : 2022
Category : Automatic theorem proving
ISBN : 9783031107696

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Automated Reasoning by Jasmin Blanchette,Laura Kovács,Dirk Pattinson Pdf

This is an open access book. It is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Advances in Pattern-Based Ontology Engineering

Author : E. Blomqvist,T. Hahmann,K. Hammar
Publisher : IOS Press
Page : 406 pages
File Size : 55,5 Mb
Release : 2021-06-03
Category : Computers
ISBN : 9781643681757

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Advances in Pattern-Based Ontology Engineering by E. Blomqvist,T. Hahmann,K. Hammar Pdf

Ontologies are the corner stone of data modeling and knowledge representation, and engineering an ontology is a complex task in which domain knowledge, ontological accuracy and computational properties need to be carefully balanced. As with any engineering task, the identification and documentation of common patterns is important, and Ontology Design Patterns (ODPs) provide ontology designers with a strong connection to requirements and a better communication of their semantic content and intent. This book, Advances in Pattern-Based Ontology Engineering, contains 23 extended versions of selected papers presented at the annual Workshop on Ontology Design and Patterns (WOP) between 2017 and 2020. This yearly event, which attracts a large number of researchers and professionals in the field of ontology engineering and ontology design patterns, covers issues related to quality aspects of ontology engineering and ODPs for data and knowledge representation, and is usually co-located with the International Semantic Web Conference (ISWC), apart from WOP 2020, which was held virtually due to the COVID-19 pandemic. Topics covered by the papers collected here focus on recent advances in ontology design and patterns, and range from a method to instantiate content patterns, through a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations and applications. The book provides an overview of important advances in ontology engineering and ontology design patterns, and will be of interest to all those working in the field.

Empirical Ontology Design Patterns

Author : V.A. Carriero
Publisher : IOS Press
Page : 154 pages
File Size : 42,5 Mb
Release : 2024-01-26
Category : Computers
ISBN : 9781643684796

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Empirical Ontology Design Patterns by V.A. Carriero Pdf

In recent years, knowledge graphs (KGs) and ontologies have been widely adopted for modeling many kinds of domain. They are frequently released openly, something which benefits those who are starting new projects, because it offers them a wide choice of ontology reuse and the possibility to link to existing data. Understanding the content of an ontology or a knowledge graph is far from straightforward, however, and existing methods address this issue only partially, while exploring and comparing multiple ontologies can be a tedious manual task. This book, Empirical Ontology Design Patterns, starts from the premise that identifying the Ontology Design Patterns (ODPs) used in an ontology or a knowledge graph will go some way to addressing this problem. Its main focus is to provide tools which will effectively support the task of automatically identifying ODPs in existing ontologies and knowledge graphs. The book analyses the role of ODPs in ontology engineering, placing this analysis in the wider context of existing approaches to ontology reuse and implementation. It introduces a novel method for extracting empirical ontology design patterns (EODPs) from ontologies, and another for extracting EODPs from knowledge graphs whose schemas are implicit. Both methods are applied to ontologies and knowledge graphs frequently adopted and reused, such as Wikidata. The book also offers an ontology which can be used as a basis for annotating ODPs in ontologies and knowledge graphs, whether manually or automatically. The book will be of interest to all those whose work involves the use or reuse of ontologies and knowledge graphs.

The Semantic Web – ISWC 2023

Author : Terry R. Payne,Valentina Presutti,Guilin Qi,María Poveda-Villalón,Giorgos Stoilos,Laura Hollink,Zoi Kaoudi,Gong Cheng,Juanzi Li
Publisher : Springer Nature
Page : 515 pages
File Size : 51,7 Mb
Release : 2023-11-01
Category : Computers
ISBN : 9783031472435

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The Semantic Web – ISWC 2023 by Terry R. Payne,Valentina Presutti,Guilin Qi,María Poveda-Villalón,Giorgos Stoilos,Laura Hollink,Zoi Kaoudi,Gong Cheng,Juanzi Li Pdf

This book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.

Intelligent Information Systems

Author : Shareeful Islam
Publisher : Springer Nature
Page : 175 pages
File Size : 52,8 Mb
Release : 2024-06-18
Category : Electronic
ISBN : 9783031610004

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Intelligent Information Systems by Shareeful Islam Pdf

AI 2022: Advances in Artificial Intelligence

Author : Haris Aziz,Débora Corrêa,Tim French
Publisher : Springer Nature
Page : 825 pages
File Size : 50,7 Mb
Release : 2022-12-02
Category : Computers
ISBN : 9783031226953

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AI 2022: Advances in Artificial Intelligence by Haris Aziz,Débora Corrêa,Tim French Pdf

This book constitutes the refereed proceedings of the 35th Australasian Joint Conference on Artificial Intelligence, AI 2022, which took place in Perth, WA, Australia, in December 5–8, 2022. The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representation and NLP; Machine Learning; Medical AI; Optimization; and Reinforcement Learning.

Computational Collective Intelligence

Author : Ngoc Thanh Nguyen,Yannis Manolopoulos,Richard Chbeir,Adrianna Kozierkiewicz,Bogdan Trawiński
Publisher : Springer Nature
Page : 863 pages
File Size : 53,9 Mb
Release : 2022-09-21
Category : Computers
ISBN : 9783031160141

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Computational Collective Intelligence by Ngoc Thanh Nguyen,Yannis Manolopoulos,Richard Chbeir,Adrianna Kozierkiewicz,Bogdan Trawiński Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical ​sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.

New Trends in Database and Information Systems

Author : Silvia Chiusano,Tania Cerquitelli,Robert Wrembel,Kjetil Nørvåg,Barbara Catania,Genoveva Vargas-Solar,Ester Zumpano
Publisher : Springer Nature
Page : 675 pages
File Size : 49,9 Mb
Release : 2022-08-29
Category : Computers
ISBN : 9783031157431

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New Trends in Database and Information Systems by Silvia Chiusano,Tania Cerquitelli,Robert Wrembel,Kjetil Nørvåg,Barbara Catania,Genoveva Vargas-Solar,Ester Zumpano Pdf

This book constitutes the proceedings of the 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022, held in Turin, Italy, in September 2022. The 29 short papers presented were carefully reviewed and selected from 90 submissions. The selected short papers are organized in the following sections: data understanding, modeling and visualization; fairness in data processing; data management pipeline, information and process retrieval; data access optimization; data pre-processing and cleaning; data science and machine learning. Further, papers from the following workshops and satellite events are provided in the volume: DOING: 3rd Workshop on Intelligent Data – From Data to Knowledge; K-GALS: 1st Workshop on Knowledge Graphs Analysis on a Large Scale; MADEISD: 4th Workshop on Modern Approaches in Data Engineering and Information System Design; MegaData: 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics; SWODCH: 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage; Doctoral Consortium.

The Semantic Web: ESWC 2022 Satellite Events

Author : Paul Groth,Anisa Rula,Jodi Schneider,Ilaria Tiddi,Elena Simperl,Panos Alexopoulos,Rinke Hoekstra,Mehwish Alam,Anastasia Dimou,Minna Tamper
Publisher : Springer Nature
Page : 332 pages
File Size : 48,5 Mb
Release : 2022-07-19
Category : Computers
ISBN : 9783031116094

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The Semantic Web: ESWC 2022 Satellite Events by Paul Groth,Anisa Rula,Jodi Schneider,Ilaria Tiddi,Elena Simperl,Panos Alexopoulos,Rinke Hoekstra,Mehwish Alam,Anastasia Dimou,Minna Tamper Pdf

This book constitutes the proceedings of the satellite events held at the 19th Extended Semantic Web Conference, ESWC 2022, during May—June in Hersonissos, Greece, 2022. The included satellite events are: the poster and demo session; the PhD symposium; industry track; project networking; workshops and tutorials. During ESWC 2022, the following ten workshops took place:10th Linked Data in Architecture and Construction Workshop (LDAC 2022); 5th International Workshop on Geospatial Linked Data (GeoLD 2022); 5th Workshop on Semantic Web solutions for large-scale biomedical data analytics (SeMWeBMeDA 2022); 7th Natural Language Interfaces for the Web of Data (NLIWOD+QALD 2022); International Workshop on Knowledge Graph Generation from Text (Text2KG 2022); 3rd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2022); 1st Workshop on Modular Knowledge (ModularK 2022); Third International Workshop On Knowledge Graph Construction (KGCW 2022); Third International Workshop On Semantic Digital Twins (SeDIT 2022); and the 1st International Workshop on Semantic Industrial Information Modelling (SemIIM 2022).

Proceedings of Seventh International Congress on Information and Communication Technology

Author : Xin-She Yang,Simon Sherratt,Nilanjan Dey,Amit Joshi
Publisher : Springer Nature
Page : 805 pages
File Size : 55,5 Mb
Release : 2022-08-16
Category : Technology & Engineering
ISBN : 9789811923975

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Proceedings of Seventh International Congress on Information and Communication Technology by Xin-She Yang,Simon Sherratt,Nilanjan Dey,Amit Joshi Pdf

This book gathers selected high-quality research papers presented at the Seventh International Congress on Information and Communication Technology, held at Brunel University, London, on February 21–24, 2022. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.

Type-Safe Programming for the Semantic Web

Author : M. Leinberger
Publisher : IOS Press
Page : 170 pages
File Size : 46,5 Mb
Release : 2021-10-14
Category : Computers
ISBN : 9781643681979

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Type-Safe Programming for the Semantic Web by M. Leinberger Pdf

Graph-based data formats are a flexible way of representing data – semantic data models in particular – where the schema is part of the data, and have become more popular and had some commercial success in recent years. Semantic data models are also the basis for the Semantic Web – a Web of data governed by open standards in which computer programs can freely access the data provided. This book is about checking the correctness of programs that can access semantic data. Although the flexibility of semantic data models is one of their greatest strengths, it can lead programmers to accidentally fail to account for unintuitive edge cases, leading to run-time errors or unintended side-effects during program execution. A program may even run for a long time before such an error occurs and the program crashes. Providing a type system is an established methodology for proving the absence of run-time errors in programs without requiring execution. The book defines type systems that can detect and avoid such run-time errors based on schema languages available for the Semantic Web. Using the Web Ontology Language (OWL) and its theoretic underpinnings i.e. description logics, and the Shapes Constraint Language (SHACL) in particular, the book defines systems that can provide type-safe data access to semantic data graphs. The book is divided into 3 parts: Part I contains an introduction and preliminaries; Part II covers type systems for the Semantic Web; and Part III includes related work and conclusions.

Knowledge Graphs: Semantics, Machine Learning, and Languages

Author : M. Acosta,S. Peroni,S. Vahdati
Publisher : IOS Press
Page : 262 pages
File Size : 45,7 Mb
Release : 2023-10-03
Category : Computers
ISBN : 9781643684253

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Knowledge Graphs: Semantics, Machine Learning, and Languages by M. Acosta,S. Peroni,S. Vahdati Pdf

Semantic computing is an integral part of modern technology, an essential component of fields as diverse as artificial intelligence, data science, knowledge discovery and management, big data analytics, e-commerce, enterprise search, technical documentation, document management, business intelligence, and enterprise vocabulary management. This book presents the proceedings of SEMANTICS 2023, the 19th International Conference on Semantic Systems, held in Leipzig, Germany, from 20 to 22 September 2023. The conference is a pivotal event for those professionals and researchers actively engaged in harnessing the power of semantic computing, an opportunity to increase their understanding of the subject’s transformative potential while confronting its practical limitations. Attendees include information managers, IT architects, software engineers, and researchers from a broad spectrum of organizations, including research facilities, non-profit entities, public administrations, and the world's largest corporations. For this year’s conference a total of 54 submissions were received in response to a call for papers. These were subjected to a rigorous, double-blind review process, with at least three independent reviews conducted for each submission. The 16 papers included here were ultimately accepted for presentation, with an acceptance rate of 29.6%. Areas covered include novel research challenges in areas such as data science, machine learning, logic programming, content engineering, social computing, and the Semantic Web. The book provides an up-to-date overview, which will be of interest to all those wishing to stay abreast of emerging trends and themes within the vast field of semantic computing.

Services for Connecting and Integrating Big Numbers of Linked Datasets

Author : M. Mountantonakis
Publisher : IOS Press
Page : 314 pages
File Size : 45,5 Mb
Release : 2021-02-19
Category : Computers
ISBN : 9781643681658

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Services for Connecting and Integrating Big Numbers of Linked Datasets by M. Mountantonakis Pdf

Linked Data is a method of publishing structured data to facilitate sharing, linking, searching and re-use. Many such datasets have already been published, but although their number and size continues to increase, the main objectives of linking and integration have not yet been fully realized, and even seemingly simple tasks, like finding all the available information for an entity, are still challenging. This book, Services for Connecting and Integrating Big Numbers of Linked Datasets, is the 50th volume in the series ‘Studies on the Semantic Web’. The book analyzes the research work done in the area of linked data integration, and focuses on methods that can be used at large scale. It then proposes indexes and algorithms for tackling some of the challenges, such as, methods for performing cross-dataset identity reasoning, finding all the available information for an entity, methods for ordering content-based dataset discovery, and others. The author demonstrates how content-based dataset discovery can be reduced to solving optimization problems, and techniques are proposed for solving these efficiently while taking the contents of the datasets into consideration. To order them in real time, the proposed indexes and algorithms have been implemented in a suite of services called LODsyndesis, in turn enabling the implementation of other high level services, such as techniques for knowledge graph embeddings, and services for data enrichment which can be exploited for machine-learning tasks, and which also improve the prediction of machine-learning problems.