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description=Thoughts on remixing, provenance and data by Paul Groth;

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trip, report, share, this, data, knowledge, random, notes, eswc, and, the, of, thoughts, provenance, systems, graphs, on, as, management, ai, wrap, up, new, 2026, sigmod, 2025, 2023, 2019, agentic, workloads, semantics, final, long, evaluation, genai, practice, to, engineering, multiple, software, applications, for, machine, learning, think, links, vldb, 2024, webconf, 2022, virtual, kgc, 2020, pods, email, subscription, archives, remixing, by, paul, groth, imperative, memory, next, problem, lived, where, should, reside, cyber, physical, changing, multimodal, empirical, insights, building, blocks, from, theory, note, kgs, relational, databases, in, context, swsa, little, bit, still, goes, way, llms, architectures, speculative, week, generative, wikidata, taxonomies, are, back, thought, kg, completion, logistics, playing, with, representations, modalities, integrating, development, human, understandable, scientist, assets, target, schemas, feral, spreadsheets, graph, center, computer,

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der the swsa banner as a member of the eswc steering committee and as a community member i m very excited for this move this means that the two major conferences in our area iswc and eswc are under the same governance structure focused on the promotion of research in the semantic web swsa also has links to the major journals in the filed eswc is in good hands with this change there is the opportunity to connect the two conferences more deeply and strengthen the community as a whole wrapping up there are many exciting research paths forward from questions on how to evaluate complex information systems based on llm agents what do theoretically grounded architectures look like for neurosymbolic systems how do semantics and data quality improve foundation models to how to design kg query languages for agents i look forward to seeing how we progress at eswc 2026 random notes stats on eswc 2025 great work by tobias kuhn and team on building out nanopublications check the progress in the tutorial they gave tensors sparql good to have had a tribute to dieter fensel at the conference thanks to the folks letting me pitch longform ai to them in particular tobias käfer and christoph braun for the advice with their business hats on from a past life zeyu checkout avenger ensembling and fine tuning llms for select prompts in entity resolution pdf reminds of your work on anymatch eswc is held in nice places ht harald sack eswc 2026 power house general program chairs maribel acosta sebastian rudolph marieke van erp karaoke industrial grade ai taxonomy inference for tabular data using llms the tooling for ontology production is really good now see https github com mobilitydcat ap for an example the https github com perks project pk ontology is really nicely designed and uses prov more tooling semantic web language server ontoaligner python for aligning ontologies www rankingdom org sparqllm include llm calls in your sparql text amr kg trutheval for factuality evaluation share this share on x opens in new window x share on facebook opens in new window facebook email a link to a friend opens in new window email more print opens in new window print share on linkedin opens in new window linkedin share on tumblr opens in new window tumblr like loading trip report eswc 2024 june 2 2024 academia trip report leave a comment last week i attended the 21st extended european semantic web conference the conference was well organised by dr albert meroño peñuela from king s college london he seemed surprisingly chill during the whole conference congrats to him and the organization team on such a good job the community is as strong as ever with many old friends but also new attendees the conference had 300 participants up from the 230 that we had when i was the general chair in 2022 i was there to present the paper led by bradley allen on evaluating class membership relations in knowledge graphs using large language models you should check it out i also had the opportunity to present the enexa project in the project networking session i also gave a talk at the text2kg workshop and was on a panel for the data quality meets kg ml workshop a little bit of semantics still goes a long way we had excellent keynote by katariina kari from ikea about her experience building knowledge graphs at both ikea and zalando my take away was that a critical component of effective knowledge graph deployments was the addition of small amounts of high quality data in particular in terms of semantics expressed in the the ontology or as rules the addition of such critical knowledge from domain experts about what customers mean when they search for the beach or beyonce can help drive gains on organisational goals the flexibility of knowledge graphs can make this easier for example through different ontology modules knowledge graphs can allow different parts of the organisation to take the needed perspective for their application i especially liked the idea of instead of storing all information about entities in a knowledge graph storing recipes for accessing entity knowledge from underlying data sources this notion of small amounts of high quality data focused on success was emphasised in her kg project timeline here katariina emphasised engaging domain experts by doing data therapy to help gather the right business knowledge needed she also situated building the knowledge graph in terms of required skills and roles taking this on as a standard software engineering project with semantic technologies integrated e g manage your ontologies using git i was also happy to see knowledge scientist get a shout out llms and knowledge engineering there was a lot of strong discussion about llms and generative ai at the conference there s clearly tremendous opportunity to reformulate both the process of knowledge engineering as well as in the context of intelligent system architectures which take advantage of structured knowledge first in terms of knowledge engineering prof elena simperl gave an excellent summary of where we are at and directions forward in her keynote these directions were further emphasised in the special track on llms and knowledge engineering which myself elena oscar corcho and valentina tamma organised this was an opportunity for the community to report on its explorations in this emerging area when we first organised the track we thought it would have a small number of submissions instead it was tremendously popular with 49 submissions from this track it was clear that across the whole range of knowledge engineering from competency question elicitation to knowledge graph refinement llms can be applied as part of hybrid workflows a good example is the ontochat framework which is a conversational agent for supporting ontology construction another example is the work of giglou and colleagues that shows that llms can meet and in some cases surpass the performance of traditional systems for ontology matching in the research track the work of dong et al a language model based framework for new concept placement in ontologies showed the effectiveness of llms support in helping curate existing ontologies likewise saeedizade and blomqvist showed that llms can be generate quality modelling suggestions for owl pushing further one can think about an llm agent that can drive the creation and curation of knowledge potentially to help maintain organisational semantic resources e g data dictionaries corporate ontologies and structured datasets in his keynote dr peter clark from allen ai showed the potential of such agents to be for example do research assistance you can find a longer presentation on this assistant here new architectures peter s keynote emphasised how the original vision of the semantic web of a machine readable web with intelligent agents is coming to pass through the capabilities of llms he nicely summarised the key points from his talk as follows in his talk he illustrated new architectures that combined traditional reasoners to enhance the capabilities of the llms worth checking out are language models with rationality from emnlp 2023 using a belief graph to repair to help the llm correct inconsistent beliefs recursively entailer from emnlp 2022 using textual entailment as inference procedure to improve question answering prof marta sabou also discussed new hybrid architectures for neuro symbolic systems at the semtech4stld workshop this was based on the large survey of semantic web and machine learning systems that she produced with a large team of collaborators which also has a knowledge graph and tooling associated with it this builds on the boxology approach to architecture patterns for neuro symbolic systems from van harmelen and ten teije i also discussed new kinds of knowledge graph architectures that make use of llms in knowledge graph architecture in my talk in the text2kg workshop here i emphasised the ability of llms to help us deal with both unstructured data as well as serve as sources of knowledge themselves to graph or not to graph knowledge graph architectures and llms from paul groth i also very much liked the new work going on around using the learnings of mapping approaches for knowledge graph construction to deal with other types of data specifically not everybody speaks rdf knowledge conversion between different data representations mario scrocca alessio carenini marco grassi marco comerio irene celino paper slides final speculative thoughts in the workshop on generative near symbolic ai frank van harmelen gave an excellent talk neuro symbolic neuro semantic focused on the point that semantics as defined as predictable inference is not really captured used by neural representations you can see a similar talk here it was a compelling case and led to one of these fascinating side conversations that can happen at conferences on the nature of semantics the notion of symbol grounding and the limitations and capabilities of llms if we one assumes that llms have mental models as dr clark s research seeks to uncover can we use that idea to help us easily establish shared conceptualisations between ourselves and with llms how do codify that does the future of knowledge engineering provide a route foreward and so on this eswc provided me with much found of thought it s exciting to be in this environment where the rapid pace of change allows us to think big about what we can do with knowledge and data on the web random notes officegraph a knowledge graph of office building iot measurements a cool dataset built by our colleagues at the vu it s sometimes funny that you discover things in your backyard but need to go to a conference this looks potentially useful for our work on digital twins elena simperl s talk in on data quality in the data quality meets machine learning and knowledge graphs workshop mlsea a knowledge graph integrating information about machine learning artifacts olaf convinced me that we definitely need better ways to deal with list and maps in rdf the best paper went to duygu sezen islakoglu et al for leveraging pre trained language models for time interval prediction in text enhanced temporal knowledge graph s it combines two cool ideas one the textual representation associated with entities and the other temporal knowledge graph prediction to help improve the temporal content of kgs nice to see papers on dealing with underlying source change propagating ontology changes to declarative mappings in construction of knowledge graphs diego conde herreros david chaves fraga maría poveda villalón romana pernisch lise stork oscar corcho paper slides indelab newcomer lise stork crushed it in her talk on social demography research using semtech provenance and prov are still core reference points in the community being used towards cyber mapping the german financial system with knowledge graphs pdf and built upon compatibility challenges of the current state of the art provenance tools pdf share this share on x opens in new window x share on facebook opens in new window facebook email a link to a friend opens in new window email more print opens in new window print share on linkedin opens in new window linkedin share on tumblr opens in new window tumblr like loading trip report webconf 2023 may 14 2023 academia events provenance trip report 1 comment i m just getting back from a nice trip to the us where i attended the academic data science alliance leadership summit and before that the web conference 2023 www 2023 in austin texas this is the premier academic conference on the web the conference organisation was led by two friends and collaborators dr juan sequeda and dr ying ding they did a fantastic job with the structure food keynotes e g acm turing award winner bob metcalfe and who can not give two thumbs up to bbq and austin live music the last in person web conference i was at was in 2018 in lyon so it was good to be back and to catch up with a lot of folks in the community provenance week 2023 the main reason that i was at web conf was for provenance week 2023 which was collocated it s a bit of misnomer since it was a special two day event in the past we ve done this as a whole week as a separate event but coming out of the pandemic the steering committees felt that collocating would be better there were about 20 attendees i was presenting the work we ve done led by stefan grafberger on on mlinspect and use cases for provenance and end to end machine learning it was also nice to meet julia stoyanovich our co author on this work for the first time in person i also was very happy to celebrate the 10th anniversary of the w3c prov provenance recommendation happy birthday w3c prov the w3c prov specification for provenance was published exactly 10 years ago https t co xe7r4xprnq pic twitter com me9hj9lfom andreas schreiber onyame may 1 2023 for that we organised a panel with the other co chair of the working group prof luc moreau and two co editors prof paolo missier prof deborah mcguinness all three are also leaders in provenance research we also were joined by bryon jacob cto of data world it was excellent to have bryon there as data world is a heavy user of prov and wasn t involved in the standardisation effort he commented on how from his perspective the spec was really usable we discussed the up take of prov the panel felt that uptake has been good with demonstrable impac t use but the committee members were hoping for more the fact that it is often used within systems or as a frame of reference e g hl7 fhir means that it s not as widely known as hoped i think the panel did agree that provenance is needed now more than ever for example bryon focused on data governance where data world employs provenance it s becoming critical to know where data comes from to understand the broader data estate but also to deal with legal issues related to provenance additionally generative ai is placing further demands on provenance here i would point to work being pushed by adobe specifically the content authenticity initiative and their firefly tools llm overall the panel reinforced to me the need for interoperable provenance and the role that prov has played in providing a reference point beyond the panel i took 3 things from the workshop the intersection of provenance and data science ai pipelines is promising there s a clear demand for it and broadly ml ops but it also provides particular constraints that make designing provenance systems somewhat easier you can make some assumptions about the kind of frameworks being used and the targeted applications are not too specific but also not completely general purpose there s also space for empirical insights to drive system development this intersection was being investigated not only in our work mentioned above for example in vanessa braganholo s keynote on the noworkflow provenance system i thought their work on analysing 1 4 million juypter notebooks was cool i d also mention a number of other s...