..., distribution, and reproduction in any medium, provided the original work is properly cited. Abstract The technique of forgetting in knowledge representation has been shown to be a powerful and useful knowledge engineering tool with widespread application. Yet, very little research has been done...

... twins, where precise and dynamic belief changes are essential for maintaining accurate simulations of real-world systems. AGM framework syntactical relevance belief structures knowledge representation An intelligent agent ought to be able to concretely represent their beliefs and rationally...

... connections between statements represented as graphs. It is not far-fetched to think that, by devising appropriate measures of the linking patterns between statements, such relations can be mechanized, thus opening the way to new and possibly unforeseen results and applications. Knowledge representation...

... DAGs. DAGs are shown to the user in an interactive form via the xASP navigator application, also introduced in this work. Answer Set Programming eXplainable Artificial Intelligence Knowledge Representation and Reasoning Italian Ministry of University and Research CUP H53D23 003420006 FAIR...

... written word recognition regions, which causes it to preferentially represent meaning for advanced vocabulary acquired primarily through reading. semantic cognition anterior temporal lobe resting-state functional connectivity knowledge representation Biotechnology and Biological Sciences Research...

...://bioportal.bioontology.org/ontologies/PCAO , http://pcaontology.net/ and http://pcaontology.net/mobile/ . prostate cancer ontology knowledge representation knowledge graph deep phenotyping National Natural Science Foundation of China 10.13039/501100001809 32270690 32070671 82102186 32200533 Blue and Green...

... the potential of ontology-based datafication to create coherent representations for intangible cultural entities and to enable an interoperable data infrastructure across multimodal cultural archives. ontology design datafication knowledge representation traditional martial arts intangible cultural...

... domain-specific languages offer various knowledge-type options for clinical knowledge authors to choose from without potentially adding unnecessary overhead or complexity. knowledge representation clinical knowledge interoperability standards development organizations systems engineering BPM+ OMG...

... for better evidence retrieval and synthesis and an interpretable representation to efficiently comprehend RCT findings. knowledge representation corpus annotation randomized controlled trial evidence-based medicine natural language processing medical literature analysis and retrieval system Bridging...

... assignments are allowed to take values in the infinite set rather than , but we use the more classical semantics. Knowledge representation reasoning description logics Datalog OWL EL nominal schemas Abstract Nominal schemas have been proposed as an extension to Description Logics (DL...

... training in radiology. The fifth CELS author was a senior Harvard Medical School medical student. None of these authors had previous experience in knowledge representation of evidence. The CELS in the HLE were represented by 2 expert scientists each with more than 5 years of experience in CELS...

... is not limited to the Horn fragment but applicable to many fragments of propositional logic, like Krom and affine fragments. Belief change belief contraction belief erasure fragments of propositional logic knowledge representation and reasoning Belief change is a central topic in knowledge representation...

... algorithm, or the acquisition of symbolic rules during training. Very tight coupling can be achieved for example by means of Markov logics. Summarizing, neuro-symbolic artificial intelligence is an emerging subfield of AI that promises to favorably combine knowledge representation and deep learning in order...

... discovered in the literature so far. Knowledge representation and reasoning logic programming ontological reasoning query answering complexity Under the language of TGDs, queries are answered against an ontology represented by a set of TGDs and an input database. In particular, given a database instance...

... ultrafilter naturally emerges and has been used in epistemic logic and other knowledge representation (KR) applications. We provide a comprehensive exposition of weak filters and ultrafilters, comparing them with their classical counterparts that have found very important applications in logic...

.... Belief change parametrized-difference (PD) revision solver answer set programming (ASP) knowledge representation artificial intelligence Several such ‘off-the-shelf’ revision operators—which, essentially, utilize a fixed algorithm for encoding the underlying revision policy—have been...

... programming knowledge representation and reasoning artificial neural networks FCT—Fundação para a Ciência e Tecnologia UIDB/00319/2020 Balance and stability are key points for organizational performance (OP). These two states maintain the system balance in a status quo, which means...

...Maxat Kulmanov; Fatima Zohra Smaili; Xin Gao; Robert Hoehndorf machine learning semantic similarity ontology knowledge representation neuro-symbolic integration In the life sciences, domain-specific knowledge is often encoded in ontologies and in the database and knowledge base that use...

... show that they are (to some extent) relevance-sensitive, as well as that they respect the so-called principle of kinetic consistency. Belief change parametrized-difference revision total preorders iteration relevance kinetic consistency knowledge representation A fundamental prerequisite...

..., and decision support. electronic health records knowledge representation clinical decision support clinical concepts clinical documentation The US health system has recently achieved nationwide electronic health record (EHR) adoption, ¹ with large-scale adoption of commercial systems...