The process of developing ontologies – a formal, explicit specification shared conceptualisation is addressed by well-known methodologies. As for any engineering development, its fundamental basis the collection requirements, which includes elicitation competency questions. Competency questions are defined through interacting with domain and application experts or investigating existing datasets that may be used to populate ontology i.e. knowledge graph. rise in popularity accessibility...

Knowledge Graphs (KGs) store human knowledge in the form of entities (nodes) and relations, are used extensively various applications. KG embeddings an effective approach to addressing tasks like discovery, link prediction, reasoning. This is often done by allocating learning embedding tables for all or a subset entities. As this scales linearly with number entities, models real-world KGs millions nodes can be computationally intractable. To address scalability problem, our model, PathE,...

Various disconnected chord datasets are currently available for music analysis and information retrieval, but they often limited by either their size, non-openness, lack of timed information, interoperability. Together with the overlapping repertoire coverage, this limits cross-corpus studies on harmony over time across genres, hampers research in computational (chord recognition, pattern mining, creativity), which needs access to large datasets. We contribute address gap, releasing Chord...

Human perception of musical structure is supposed to depend on the generation hierarchies, which inherently related actual organisation sounds in music. Musical structures are indeed best retained by listeners when they form hierarchical patterns, with consequent implications appreciation music and its performance. The automatic detection audio recordings one most challenging problems field information retrieval, since even human experts tend disagree structural decomposition a piece...

Composing musical ideas longer than motifs or figures is still rare in music generated by machine learning methods, a problem that commonly referred to as the lack of long-term structure sequences. In addition, evaluation structural complexity artificial compositions manual task, requiring expert knowledge, time and involving subjectivity which inherent perception structure. Based on recent advancements analysis, we automate process introducing collection measures can objectively describe...

Computationally creative systems for music have recently achieved impressive results, fuelled by progress in generative machine learning. However, black-box approaches raised fundamental concerns ethics, accountability, explainability, and musical plausibility. To enable trustworthy creativity, we introduce the Harmonic Memory, a Knowledge Graph (KG) of harmonic patterns extracted from large heterogeneous corpus. By leveraging cognitive model tonal harmony, chord progressions are segmented...

Abstract Estimating the effects of introducing a range smart mobility solutions within an urban area is crucial concern in planning. The lack simulator for assessment initiatives forces local public authorities and service providers to base their decisions on guidelines derived from common heuristics best practices. These approaches can help planners shaping solutions; however, given high number variables consider, are not guaranteed. Therefore, solution conceived respecting available result...

Accelerating material discovery has tremendous societal and industrial impact, particularly for pharmaceuticals clean energy production. Many experimental instruments have some degree of automation, facilitating continuous running higher throughput. However, it is common that sample preparation still carried out manually. This can result in researchers spending a significant amount their time on repetitive tasks, which introduces errors prohibit production statistically relevant data....

Depression is one of the largest sources burden disease in worldwide and development flexible, timely easily accessible interventions considered to be a critical direction for future. Mood Regulation (MR) via music listening may viable tool support these aims if people have adequate make selections that underpin healthy MR strategies. We developed new app (POLYHYMNIA Mood) automatically generates personalised playlists mood elevation reduction depression symptoms here we provide an overview...

With advances in the field of machine learning, service robots are envisioned to become more present. The COVID-19 pandemic has accelerated this need. One such example would be coffee shops, which have intrinsic our everyday lives. Yet, serving an excellent cup is not trivial as a blend typically comprises rich aromas, indulgent and unique flavours. Our work addresses by proposing computational model recommends optimal beans resulting from users' preferences. Given properties (objective...

With advances in the field of machine learning, precisely algorithms for recommendation systems, robot assistants are envisioned to become more present hospitality industry. Additionally, COVID-19 pandemic has also highlighted need have service robots our everyday lives, minimise risk human to-human transmission. One such example would be coffee shops, which intrinsic lives. However, serving an excellent cup is not a trivial feat as blend typically comprises rich aromas, indulgent and unique...

Ontology engineering (OE) in large projects poses a number of challenges arising from the heterogeneous backgrounds various stakeholders, domain experts, and their complex interactions with ontology designers. This multi-party interaction often creates systematic ambiguities biases elicitation requirements, which directly affect design, evaluation may jeopardise target reuse. Meanwhile, current OE methodologies strongly rely on manual activities (e.g., interviews, discussion pages). After...

The ability to reason with and integrate different sensory inputs is the foundation underpinning human intelligence it for growing interest in modelling multi-modal information within Knowledge Graphs. Multi-Modal Graphs extend traditional by associating an entity its possible modal representations, including text, images, audio, videos, all of which are used convey semantics entity. Despite increasing attention that have received, there a lack consensus about definitions modalities, whose...

Past ontology requirements engineering (ORE) has primarily relied on manual methods, such as interviews and collaborative forums, to gather user from domain experts, especially in large projects. Current OntoChat offers a framework for ORE that utilises language models (LLMs) streamline the process through four key functions: story creation, competency question (CQ) extraction, CQ filtration analysis, testing support. In OntoChat, users are expected prompt chatbot generate stories. However,...

Past ontology requirements engineering (ORE) has primarily relied on manual methods, such as interviews and collaborative forums, to gather user from domain experts, especially in large projects. Current OntoChat offers a framework for ORE that utilises language models (LLMs) streamline the process through four key functions: story creation, competency question (CQ) extraction, CQ filtration analysis, testing support. In OntoChat, users are expected prompt chatbot generate stories. However,...

The annotation of music content is a complex process to represent due its inherent multifaceted, subjectivity, and interdisciplinary nature. Numerous systems conventions for annotating have been developed as independent standards over the past decades. Little has done make them interoperable, which jeopardises cross-corpora studies it requires users familiarise with multitude conventions. Most these lack semantic expressiveness needed complexity musical language cannot model multi-modal...