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We would like to welcome you to the 11th ACM International Conference on Knowledge Capture: K-CAP 2021. Driven by the increasing demands for knowledge-based applications and the unprecedented availability of information from heterogenous sources, the study of knowledge capture is of crucial importance. Knowledge capture involves the extraction of useful knowledge from vast and diverse data sources as well as its acquisition directly from human experts. K-CAP 2021 aimed at attracting researchers from diverse areas of Artificial Intelligence, including knowledge acquisition, knowledge representation and reasoning, intelligent user interfaces, problem-solving, planning, agents, information extraction, machine learning, natural language processing, information enrichment and visualization, as well as researchers interested in cyberinfrastructures to foster the publication, retrieval and reuse of data. Nowadays knowledge is derived from an increasingly diverse set of data resources that differ with regard to their domain, format, quality, coverage, specificity, viewpoint, bias, and most importantly, consumers and producers of the data. The heterogeneity, amount and complexity of the data allow us to answer complex questions that could not be answered in isolation - requiring the interaction of different scientific fields and technologies. A goal of K-CAP is to develop such synergies using systematic and rigorous methodologies. The call for papers attracted 123 submissions from all over the world, covering a diverse range of topics spanning ontology development, information extraction, knowledge graphs, natural language processing, reasoning, entity linking, querying and knowledge-based applications. From a competitive set of high-quality submissions, we accepted 31 long research papers, 8 short papers, and 2 demo papers. We encourage everyone to attend the keynote talks that we have planned for K-CAP 2021. The highly anticipated talks by Leila Zia (Wikimedia Foundation) and Ian Horrocks (University of Oxford) will guide us to a better understanding of the future of knowledge graph and knowledge representation technologies, as they become prevalent in real world applications.
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Ontology ABox Comparison” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Computer science. --- Mathematical logic. --- Database management. --- Information storage and retrieval. --- Artificial intelligence. --- Computational linguistics. --- Computer Science. --- Information Storage and Retrieval. --- Artificial Intelligence (incl. Robotics). --- Language Translation and Linguistics. --- Information Systems Applications (incl. Internet). --- Database Management. --- Mathematical Logic and Formal Languages. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Informatics --- Science --- Data processing --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Information organization. --- Information retrieval. --- Natural language processing (Computer science). --- Artificial Intelligence. --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Organization of information --- Semantic Web --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Machine theory. --- Computer and Information Systems Applications. --- Formal Languages and Automata Theory. --- Abstract automata --- Abstract machines --- Automata --- Mathematical machine theory --- Algorithms --- Logic, Symbolic and mathematical --- Recursive functions --- Robotics --- Data centers
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This book constitutes the refereed proceedings of the 17th International Semantic Web Conference, ESWC 2020, held in Heraklion, Crete, Greece.* The 39 revised full papers presented were carefully reviewed and selected from 166 submissions. The papers were submitted to three tracks: the research track, the resource track and the in-use track. These tracks showcase research and development activities, services and applications, and innovative research outcomes making their way into industry. The research track caters for both long standing and emerging research topics in the form of the following subtracks: ontologies and reasoning; natural language processing and information retrieval; semantic data management and data infrastructures; social and human aspects of the Semantic Web; machine learning; distribution and decentralization; science of science; security, privacy, licensing and trust; knowledge graphs; and integration, services and APIs. *The conference was held virtually due to the COVID-19 pandemic. Chapter ‘Piveau: A Large-scale Oopen Data Management Platform based on Semantic Web Technologies’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Semantic Web --- Information storage and retrieval. --- Application software. --- Knowledge representation (Information theory) . --- Database management. --- Natural language processing (Computer science). --- Mathematical logic. --- Information Storage and Retrieval. --- Information Systems Applications (incl. Internet). --- Knowledge based Systems. --- Database Management. --- Natural Language Processing (NLP). --- Mathematical Logic and Formal Languages. --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Representation of knowledge (Information theory) --- Information theory --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software
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Information retrieval --- Mathematical logic --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- NLP (neurolinguïstisch programmeren) --- applicatiebeheer --- apps --- informatiesystemen --- database management --- wiskunde --- architectuur (informatica) --- informatietheorie
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This book constitutes the refereed proceedings of the 17th International Semantic Web Conference, ESWC 2020, held in Heraklion, Crete, Greece.* The 39 revised full papers presented were carefully reviewed and selected from 166 submissions. The papers were submitted to three tracks: the research track, the resource track and the in-use track. These tracks showcase research and development activities, services and applications, and innovative research outcomes making their way into industry. The research track caters for both long standing and emerging research topics in the form of the following subtracks: ontologies and reasoning; natural language processing and information retrieval; semantic data management and data infrastructures; social and human aspects of the Semantic Web; machine learning; distribution and decentralization; science of science; security, privacy, licensing and trust; knowledge graphs; and integration, services and APIs. *The conference was held virtually due to the COVID-19 pandemic. Chapter ‘Piveau: A Large-scale Oopen Data Management Platform based on Semantic Web Technologies’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Information retrieval --- Mathematical logic --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- NLP (neurolinguïstisch programmeren) --- applicatiebeheer --- apps --- informatiesystemen --- database management --- wiskunde --- architectuur (informatica) --- informatietheorie
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EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language: since 2007 shared tasks have been proposed covering the analysis of both written and spoken language with the aim of enhancing the development and dissemination of resources and technologies for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it/) and it is supported by the NLP Special Interest Group of the Italian Association for Artificial Intelligence (AI*IA, http://www.aixia.it/) and by the Italian Association of Speech Science (AISV, http://www.aisv.it/). In this volume, we collect the reports of the tasks’ organisers and of the participants to all of the EVALITA 2016’s tasks, which are the following: ArtiPhone - Articulatory Phone Recognition; FactA - Event Factuality Annotation; NEEL-IT - Named Entity rEcognition and Linking in Italian Tweets; PoSTWITA - POS tagging for Italian Social Media Texts; QA4FAQ - Question Answering for Frequently Asked Questions; SENTIPOLC - SENTIment POLarity Classification. Notice that the volume does not include reports related to the IBM Watson Services Challenge organised by IBM Italy, but information can be found at http://www.evalita.it/2016/tasks/ibm-challenge. Before the task and participant reports, we also include an overview to the campaign that describes the tasks in more detail, provides figures on the participants, and, especially, highlights the innovations introduced at this year’s edition. An additional report presents a reflection on the outcome of two questionnaires filled by past participants and organisers of EVALITA, and of the panel “Raising Interest and Collecting Suggestions on the EVALITA Evaluation Campaign” held at CLIC-it 2015.
Linguistics --- linguistica computazionale --- riconoscimento telefonico articolare --- annotazione fattualità degli eventi --- entità chiamata rEcognition e collegamenti nei tweet italiani --- etichettare per messaggi social media --- classificazione polarità sentimenti --- linguistique computationelle --- reconnaissance téléphonique articulatoire --- annotation de facturation de l'événement --- entité appelée rEcognition et liens dans le tweets italien --- étiqueter les messages des médias sociaux --- classement polarité sentiments --- computational linguistics --- articulatory phone recognition --- event factuality annotation --- named entity rEcognition and linking in italian tweets --- tagging for italian social media texts --- sentiment polarity classification
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