Author details
Author's Published Works
Author details
Showing 1-4 of 4 results
- Sort
Sort By
Results
Towards Automated Semantics-Driven Web Service Composition: Case Study on Question Answering Systems
2024 IEEE 18th International Conference on Semantic Computing (ICSC)
Year: 2024 | Conference Paper |
When following the Component-based Architecture (CBA), Web Services (WSs), as individual components, are composed to meet the functional and non-functional requirements of users. As the number of available WSs increases, this process becomes more complex. Therefore, designers must be able to easily (1) define, (2) select, (3) verify, and (4) execute composite WSs. While many papers focus on the ex...Show More
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers
Aleksandr Perevalov;Dennis Diefenbach;Ricardo Usbeck;Andreas Both
2022 IEEE 16th International Conference on Semantic Computing (ICSC)
Year: 2022 | Conference Paper |
Cited by: Papers (13)
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 same is true for Knowledge Graph Question Answering (KGQA) systems that provide the access to Semantic Web data via natural language interface. While following our research agenda on the multilingual aspect of accessibility of KGQA systems, ...Show More
Enhancing the Accessibility of Knowledge Graph Question Answering Systems through Multilingualization
2022 IEEE 16th International Conference on Semantic Computing (ICSC)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
There are around 7000 languages spoken today in the world, yet English dominates in many research communities e.g., Knowledge Graph Question Answering (KGQA). The goal of a KGQA system is to provide natural language access to a knowledge graph. While many research works aim to achieve the best possible QA quality over English benchmarks, only a small share of them additionally focus on providing a...Show More
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features
Aleksandr Gashkov;Aleksandr Perevalov;Maria Eltsova;Andreas Both
2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
Software with natural-language user interfaces has an ever-increasing importance. However, the quality of the included Question Answering (QA) functionality is still not sufficient regarding the number of questions that are answered correctly.In our work, we address the research problem of how the QA quality of a given system can be improved just by evaluating the natural-language input (i.e., the...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.