Výsledky vyhľadávania - "2022 IEEE 16th International Conference on Semantic Computing (ICSC)"

QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers Autor Perevalov, Aleksandr, Diefenbach, Dennis, Usbeck, Ricardo, Both, Andreas

“…The ability to have the same experience for different user groups (i.e., accessibility) is one of the most important characteristics of Web-based systems. The…”
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Toward a Tactile Ontology for Semantic Interoperability of the Tactile Internet Autor Van Nguyen, Pho, Pham, Van Cu, Tan, Yasuo, Ho, Van Anh

“…Toward the implementation of the Tactile Inter-net, sharing tactile information among involving entities is an inevitable but challenging task. In this paper,…”
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An Exploration of Explainable Machine Learning Using Semantic Web Technology Autor Procko, Tyler, Elvira, Timothy, Ochoa, Omar, Del Rio, Nicholas

“…The behavior of a Machine Learning (ML) algorithm is generally accepted to be a black box, i.e., it cannot be opened and understood. This paper reports on an…”
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Topic Modeling, Clade-assisted Sentiment Analysis, and Vaccine Brand Reputation Analysis of COVID-19 Vaccine-related Facebook Comments in the Philippines Autor Catapang, Jasper Kyle, Cleofas, Jerome V.

“…Vaccine hesitancy and other COVID-19-related concerns and complaints in the Philippines are evident on social media. It is important to identify these…”
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To Extend or not to Extend? Complementary Documents Autor Bender, Magnus, Kuhr, Felix, Braun, Tanya

“…An agent in pursuit of a task may work with a corpus of documents with linked subjective content descriptions. Performing the task of document retrieval for a…”
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Data Information Interoperability Model for IoT-enabled Smart Water Networks Autor Singh, Mandeep, Wu, Wenyan, Rizou, Stamatia, Vakaj, Edlira

“…Syntactic and semantic interoperability is a fundamental requirement for the success of the Internet of Things (IoT)-enabled Smart Water Networks (SWNs)…”
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Zero-label Anaphora Resolution for Off-Script User Queries in Goal-Oriented Dialog Systems Autor Maqbool, M.H., Xu, Luxun, Siddique, A.B., Montazeri, Niloofar, Hristidis, Vagelis, Foroosh, Hassan

“…Most of the prior work on goal-oriented dialog systems has concentrated on developing systems that heavily rely on the relevant domain APIs to generate a…”
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Anomaly Detection via Correlation Clustering Autor Shaw, Peter, Barr, Joseph R., Abu-Khzam, Faisal N.

“…Anomaly detection has been studied and modeled using various methods, mostly statistical but also combinatorial, including clustering. This paper investigates…”
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Machine Learning Approach to Optimal Restaurant Location Search Autor Zhdanov, Pavel, Glukhov, Gleb, Derevitskii, Ivan

“…Business placement tasks often suffer from the lack of real shop (or restaurant) success data. Even in the presence of success data in the current location, it…”
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Automated Hashtag Hierarchy Generation Using Community Detection and the Shannon Diversity Index Autor Torene, Spencer, Howald, Blake

“…Developing semantic hierarchies from user-created hashtags in social media can provide useful organizational structure to large volumes of data. However,…”
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DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs Autor Burgdorf, Andreas, Paulus, Alexander, Pomp, Andre, Meisen, Tobias

“…Today, knowledge graphs have been proven to enable the efficient integration of heterogeneous data sets. An important step in creating such knowledge graphs is…”
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PrivPAS: A real time Privacy-Preserving AI System and applied ethics Autor S, Harichandana B S, Agarwal, Vibhav, Ghosh, Sourav, Ramena, Gopi, Kumar, Sumit, Raja, Barath Raj Kandur

“…With 3.78 billion social media users worldwide in 2021 (48% of the human population), almost 3 billion images are shared daily. At the same time, a consistent…”
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Towards Structured Biomedical Content Authoring and Publishing Autor Mbouadeu, Steve Fonin, Abbas, Asim, Ahmed, Faizan, Keshtkar, Fazel, De Bello, Joan, Bukhari, Syed Ahmad Chan

“…Significant barriers exist in achieving fast and accurate access to online biomedical content because of the proliferation of unstructured biomedical…”
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Detecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings Autor Wolfe, Robert, Caliskan, Aylin

“…We introduce novel applications of the word embedding association test (WEAT) - a method for assessing differential biases and attitudes in word embeddings -…”
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OntoJob: Automated Ontology Learning from Labor Market Data Autor Vrolijk, Jarno, Mol, Stefan T., Weber, Christian, Tavakoli, Mohammadreza, Kismihok, Gabor, Pelucchi, Mauro

“…Due to the rapidly changing labor market and the consequently widening information gap between the labor market and education, there is a need for methods that…”
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A Combined Security Ontology based on the Unified Foundational Ontology Autor Adach, Malina, Hanninen, Kaj, Lundqvist, Kristina

“…While ontology comparison and alignment have been extensively researched in the last decade, there are still some challenges to these disciplines, such as…”
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QCRUFT: Quaternion Context Recognition under Uncertainty using Fusion and Temporal Learning Autor Ge, Wen, Agu, Emmanuel O.

“…Human Context Recognition (HCR) and Context-Aware (CA) computing on smartphones have received increased research attention recently. HCR is a challenging…”
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Misinformation in Social Media Platforms and Web Articles: a Dataset to Infer User Stance Autor Abeysinghe, Bhashithe, Vulupala, Gyandeep Reddy, Sunderraman, Rajshekhar

“…Social media is filled with news articles, interesting stories and entertainment news. It is a given that along with most of these legitimate stories and…”
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Collecting Data and Metadata by Transforming between Differently Expressive Query Languages Autor Theissen-Lipp, Johannes, Kocher, Max, Decker, Stefan, Sapel, Patrick, Schmitz, Mauritius, Hopmann, Christian

“…Recent trends lead to an ever-increasing data availability while gathering and linking valuable metadata is still an open research topic. Most industrial…”
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NEO-NDA: Neo Natural Language Data Augmentation Autor Ladeira, Lucas Z., Santos, Frances, Cleopas, Lucas, Buteneers, Pieter, Villas, Leandro

“…Data augmentation generates synthetic data by making changes in data already obtained. It is applied to distinct data types like images, audio, and text. For…”
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