Towards a Knowledge-Aware AI : SEMANTiCS 2022 -- Proceedings of the 18th International Conference on Semantic Systems, 13-15 September 2022, Vienna, Austria /
Saved in:
Corporate Authors: | |
---|---|
Group Author: | ; ; ; |
Published: |
IOS Press,
|
Publisher Address: | Amsterdam : |
Publication Dates: | [2022] |
Literature type: | Book |
Language: | English |
Series: |
Studies on the Semantic Web,
volume 55 |
Subjects: | |
Carrier Form: | xii, 221 pages : illustrations (some color) ; 25 cm. |
Bibliography: | Includes bibliographical references and indexes. |
ISBN: | 9783898387675 |
Index Number: | QA76 |
CLC: |
TP18-532 TP301.2-532 |
Call Number: | TP301.2-532/S471-1/2022 |
Contents: |
Intro -- Title Page -- Preface -- Program Committee of SEMANTiCS 2022 -- Contents -- Semantics in Data Quality, Standards, and Protection -- Evaluating Web Content Using the W3C Credibility Signals -- Evaluating Quality Improvement Techniques Within the Linked Data Generation Process -- A Semantic Specification for Data Protection Impact Assessments (DPIA) -- AIRO: An Ontology for Representing AI Risks Based on the Proposed EU AI Act and ISO Risk Management Standards -- Representation Learning and Reasoning for Downstream AI Tasks -- On a Generalized Framework for Time-Aware Knowledge Graphs Assigning Systems to Test Environments Through Ontological Reasoning -- Adding Domain Knowledge to Improve Entity Resolution in 17th and 18th Century Amsterdam Archival Records -- Ontology Development -- Automatically Drafting Ontologies from Competency Questions with FrODO -- Plow: A Novel Approach to Interlinking Modular Ontologies Based on Software Package Management -- Modelling Business Agreements in the Multimodal Transportation Domain Through Ontological Smart Contracts -- Learning over Complementary Knowledge Learning Ontology Classes from Text by Clustering Lexical Substitutes Derived from Language Models -- Metadata Based Contextual Summarizer for Technical Conversations in Public Forums -- esT5s: A Spanish Model for Text Summarization -- A Joint Model for Detecting Causal Sentences and Cause-Effect Relations from Text -- Distinguishing the Types of Coordinated Verbs with a Shared Argument by Means of New ZeugBERT Language Model and ZeugmaDataset -- Subject Index -- Author Index |