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- research-articleJuly 2024
YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2024, Pages 131–140https://doi.org/10.1145/3626772.3657876Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs. Yet, its collaborative nature has led to a convoluted schema and taxonomy. ...
- research-articleJune 2024
Usage of Regular Features of Partially Defined Functional Neural Networks to Find a Solution
Automatic Documentation and Mathematical Linguistics (SPADML), Volume 58, Issue 2Apr 2024, Pages 100–107https://doi.org/10.3103/S0005105524700067AbstractIn this paper, we propose techniques to improve the efficiency of systems acting with knowledge bases and based on functional neural networks (FN-networks) formalism due to the use of their structural features. The article addresses the case of ...
- research-articleFebruary 2024
Analyzing Natural-Language Knowledge Under Uncertainty on the Basis of Description Logics
Cybernetics and Systems Analysis (KLU-CASA), Volume 60, Issue 1Jan 2024, Pages 24–38https://doi.org/10.1007/s10559-024-00643-0AbstractThe article overviews the means for describing and formally analyzing natural-language text knowledge under uncertainty. We consider a family of classic attribute languages and logics based on them, their properties, problems, and solution tools. ...
- research-articleDecember 2023
An Evaluation of Strategies to Train More Efficient Backward-Chaining Reasoners
K-CAP '23: Proceedings of the 12th Knowledge Capture Conference 2023December 2023, Pages 206–213https://doi.org/10.1145/3587259.3627564Knowledge bases traditionally require manual optimization to ensure reasonable performance when answering queries. We build on previous work on training a deep learning model to learn heuristics for answering queries by comparing different ...
- short-paperOctober 2023
Accelerating Concept Learning via Sampling
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementOctober 2023, Pages 3733–3737https://doi.org/10.1145/3583780.3615158Node classification is an important task in many fields, e.g., predicting entity types in knowledge graphs, classifying papers in citation graphs, or classifying nodes in social networks. In many cases, it is crucial to explain why certain predictions ...
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- research-articleSeptember 2023Best Paper
Seven Hypertexts
HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social MediaSeptember 2023, Article No.: 42, Pages 1–15https://doi.org/10.1145/3603163.3609048What is Hypertext? It has been studied and explored for over 50 years but a complete definition seems ever more elusive. The term is invoked in multiple communities, and applied in radically different domains, but if we cannot reconcile the different ...
- research-articleSeptember 2023
Semantic Technologies for the Development of Immersive Virtual Environments with Biofeedback
Pattern Recognition and Image Analysis (SPPRIA), Volume 33, Issue 3Sep 2023, Pages 340–344https://doi.org/10.1134/S1054661823030173Abstract—The work considers the applicability and convenience of the ontological approach for creating simulators with the inclusion of specialists of various profiles. Development and maintenance of virtual simulators with biofeedback using semantic ...
- research-articleJune 2023
Extraction of Common Physical Properties of Everyday Objects from Structured Sources
NLPIR '22: Proceedings of the 2022 6th International Conference on Natural Language Processing and Information RetrievalDecember 2022, Pages 164–168https://doi.org/10.1145/3582768.3582772Commonsense knowledge is essential for the reasoning of AI systems, particularly in the context of action planning for robots. The focus of this paper is on common-sense object properties, which are especially useful to restrict the search space of ...
- research-articleMarch 2023
On the status and prospects of systems analysis methods in ukraine
Cybernetics and Systems Analysis (KLU-CASA), Volume 36, Issue 1Jan 2000, Pages 75–82https://doi.org/10.1007/BF02733303AbstractThe paper deals with the role and place of systems analysis methods in the solution of complex problems in various spheres of human activity in Ukraine. The social and socio-economic prerequisites for development of theory and applied methods are ...
- research-articleJanuary 2023
A knowledge-based decision support system for inferring supportive treatment recommendations for diabetes mellitus
Technology and Health Care (TAHC), Volume 31, Issue 62023, Pages 2279–2302https://doi.org/10.3233/THC-230237BACKGROUND:Diabetes Mellitus (DM) is a significant risk, mostly causing blindness, kidney failure, heart attack, stroke, and lower limb amputation. A Clinical Decision Support System (CDSS) can assist healthcare practitioners ...
- research-articleJanuary 2023
Ontological knowledge inferring approach: Introducing Directed Collocations (DC) and Joined Directed Collocations (JDC)
International Journal of Knowledge-based and Intelligent Engineering Systems (KIES), Volume 27, Issue 12023, Pages 113–132https://doi.org/10.3233/KES-221516The growing need of utilizing unstructured knowledge embedded in open-domain natural language text into machine-processable forms requires the induction of hardly extracted structured knowledge into knowledge bases which makes the Semantic Web ...
- research-articleAugust 2022
Eliciting and the Use of Information Concerning Regular Structures in the Formalism of Functional Neural Networks in Decision-Support Systems
Automatic Documentation and Mathematical Linguistics (SPADML), Volume 56, Issue 4Aug 2022, Pages 179–186https://doi.org/10.3103/S0005105522040021AbstractMethods of increasing the efficiency of systems working with knowledge bases and built in the formalism of functional neural networks are described. The occurrence of regular structures in the FN network in the context of substitutions from the ...
- research-articleFebruary 2022
Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases
WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data MiningFebruary 2022, Pages 172–180https://doi.org/10.1145/3488560.3498488Answering complex questions over knowledge bases (KB-QA) faces huge input data with billions of facts, involving millions of entities and thousands of predicates. For efficiency, QA systems first reduce the answer search space by identifying a set of ...
- research-articleJanuary 2021
Towards fully-fledged archiving for RDF datasets
- Olivier Pelgrin,
- Luis Galárraga,
- Katja Hose,
- Axel-Cyrille Ngonga Ngomo,
- Muhammad Saleem,
- Ruben Verborgh,
- Muhammad Saleem,
- Ruben Verborgh,
- Muhammad Intizar Ali,
- Olaf Hartig
The dynamicity of RDF data has motivated the development of solutions for archiving, i.e., the task of storing and querying previous versions of an RDF dataset. Querying the history of a dataset finds applications in data maintenance and analytics. ...
- research-articleJanuary 2021
KBART Phase III: Unresolved questions
- Andrée Rathemacher,
- Noah Levin,
- Stephanie Doellinger,
- Robert Heaton,
- Jason Friedman,
- Sheri Meares,
- Benjamin Johnson,
- Elif Eryilmaz-Sigwarth,
- Nettie Lagace,
- Bonnie Lawlor
Information Services and Use (INSU), Volume 41, Issue 1-22021, Pages 131–136https://doi.org/10.3233/ISU-210112During the “NISO update” session at the NISO Plus 2021 conference, which took place online due to the COVID-19 pandemic, members of the KBART (Knowledge Base and Related Tools) Standing Committee presented their plans and work toward KBART Phase ...
- research-articleJanuary 2021
Towards Use of OntoClean for Ontology Contextualization
Procedia Computer Science (PROCS), Volume 192, Issue C2021, Pages 786–795https://doi.org/10.1016/j.procs.2021.08.081AbstractOntologies are formal systems of concepts used to describe numerous domains of interest. Ontologies are usually very expressive, but it comes at a price of computationally expensive reasoning over them. In our previous work we discussed the ...
- research-articleDecember 2020
Ontology of anomalous processes diagnosis
International Journal of Intelligent Systems (IJIS), Volume 36, Issue 1January 2021, Pages 291–312https://doi.org/10.1002/int.22300AbstractThe diagnosis is complex in domains where processes occur over time inside systems or objects, changing and affecting other processes and characteristics. A large number of knowledge‐based systems have been developed to increase the efficiency of ...
- research-articleMay 2020
An Ontology-Based Conversation System for Knowledge Bases
SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of DataJune 2020, Pages 361–376https://doi.org/10.1145/3318464.3386139Domain-specific knowledge bases (KB), carefully curated from various data sources, provide an invaluable reference for professionals. Conversation systems make these KBs easily accessible to professionals and are gaining popularity due to recent ...
- research-articleNovember 2019
A Benchmark for Fact Checking Algorithms Built on Knowledge Bases
CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge ManagementNovember 2019, Pages 689–698https://doi.org/10.1145/3357384.3358036Fact checking is the task of determining if a given claim holds. Several algorithms have been developed to check claims with reference information in the form of facts in a knowledge base. While individual algorithms have been experimentally evaluated ...
- research-articleJuly 2019
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence
SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2019, Pages 455–464https://doi.org/10.1145/3331184.3331232Knowledge base is one of the main forms to represent information in a structured way. A knowledge base typically consists of Resource Description Frameworks (RDF) triples which describe the entities and their relations. Generating natural language ...