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Towards a Knowledge-Aware AI: SEMANTiCS 2022 Proceedings of the 18th International Conference on Semantic Systems, 13-15 September 2022, Vienna, Austria [Pehme köide]

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  • Formaat: Paperback / softback, 234 pages
  • Ilmumisaeg: 29-Apr-2025
  • Kirjastus: IOS Press,US
  • ISBN-10: 1643683209
  • ISBN-13: 9781643683201
Teised raamatud teemal:
  • Formaat: Paperback / softback, 234 pages
  • Ilmumisaeg: 29-Apr-2025
  • Kirjastus: IOS Press,US
  • ISBN-10: 1643683209
  • ISBN-13: 9781643683201
Teised raamatud teemal:
Semantic systems lie at the heart of modern computing, interlinking with areas as diverse as AI, data science, knowledge discovery and management, big data analytics, e-commerce, enterprise search, technical documentation, document management, business intelligence, enterprise vocabulary management, machine learning, logic programming, content engineering, social computing, and the Semantic Web. This book presents the proceedings of SEMANTiCS 2022, the 18th International Conference on Semantic Systems, held as a hybrid event live in Vienna, Austria and online from 12 to 15 September 2022. The SEMANTiCS conference is an annual meeting place for the professionals and researchers who make semantic computing work, who understand its benefits and encounter its limitations, and is attended by information managers, IT architects, software engineers, and researchers from organizations ranging from research facilities and NPOs, through public administrations to the largest companies in the world. The theme and subtitle of the 2022 conference was Towards A Knowledge-Aware AI, and the book contains 15 papers, selected on the basis of quality, impact and scientific merit following a rigorous review process which resulted in an acceptance rate of 29%. The book is divided into four chapters: semantics in data quality, standards and protection; representation learning and reasoning for downstream AI tasks; ontology development; and learning over complementary knowledge. Providing an overview of emerging trends and topics in the wide area of semantic computing, the book will be of interest to anyone involved in the development and deployment of computer technology and AI systems.
Preface v
Anastasia Dimou
Sebastian Neumaier
Tassilo Pellegrini
Sahar Vahdati
Program Committee of SEMANTICS 2022 vii
Semantics in Data Quality, Standards, and Protection Evaluating Web Content Using the W3C Credibility Signals
3(18)
Leon Viktor Aviles Podgurski
Karolina Zaczynska
Georg Rehm
Evaluating Quality Improvement Techniques Within the Linked Data Generation Process
21(15)
Alex Randies
Declan O'Sullivan
A Semantic Specification for Data Protection Impact Assessments (DPIA)
36(15)
Harshvardhan J. Pandit
AIRO: An Ontology for Representing AI Risks Based on the Proposed EU AI Act and ISO Risk Management Standards
51(18)
Delaram Golpayegani
Harshvardhan J. Pandit
Dave Lewis
Representation Learning and Reasoning for Downstream AI Tasks On a Generalized Framework for Time-Aware Knowledge Graphs
69(6)
Franz Krause
Tobias Weller
Heiko Paulheim
Assigning Systems to Test Environments Through Ontological Reasoning
75(15)
Petar Paradzikovic
Ralph Hoch
Hermann Kaindl
Adding Domain Knowledge to Improve Entity Resolution in 17th and 18th Century Amsterdam Archival Records
90(17)
J. Baas
L. Van Wissen
J. Reinders
M.M. Dastani
A.J. Feelders
Ontology Development
Automatically Drafting Ontologies from Competency Questions with FrODO
107(15)
Aldo Gangemi
Anna Sofia Lippolis
Giorgia Lodi
Andrea Giovanni Nuzzolese
Plow: A Novel Approach to Interlinking Modular Ontologies Based on Software Package Management
122(15)
Maximilian Goisser
Daniel Fiebig
Sebastian Wohlrapp
Georg Rehm
Modelling Business Agreements in the Multimodal Transportation Domain Through Ontological Smart Contracts
137(18)
Mario Scrocca
Marco Comerio
Alessio Carenini
Irene Celino
Learning over Complementary Knowledge
Learning Ontology Classes from Text by Clustering Lexical Substitutes Derived from Language Models
155(15)
Artem Revenko
Victor Mireles
Anna Breit
Peter Bourgonje
Julian Moreno-Schneider
Maria Khvalchik
Georg Rehm
Metadata Based Contextual Summarizer for Technical Conversations in Public Forums
170(14)
Gyan Ranjan
Abinaya Govindan
Amit Verma
Est5S: A Spanish Model for Text Summarization
184(7)
Adrian Vogel-Fernandez
Pablo Calleja
Mariano Rico
A Joint Model for Detecting Causal Sentences and Cause-Effect Relations from Text
191(15)
Tirthankar Dasgupta
Abir Naskar
Lipika Dey
Mohammad Shakir
Distinguishing the Types of Coordinated Verbs with a Shared Argument by Means of New ZeugBERT Language Model and ZeugmaDataset
206(13)
Helena Medkovd
Ales Horak
Subject Index 219(2)
Author Index 221