http://www.lotico.com/index.php?title=Special:NewPages&feed=atom&hidebots=1&limit=50&offset=&namespace=0&username=&tagfilter=&size-mode=max&size=0lotico - New pages [en]2024-03-29T00:34:10ZFrom loticoMediaWiki 1.41.0http://www.lotico.com/index.php/Semantic_Web_BooksSemantic Web Books2024-02-20T20:03:54Z<p>Marco: </p>
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<div>H.Peter Alesso and Craig F. Smith. 2005. Developing Semantic Web Services <br>https://www.routledge.com/Developing-Semantic-Web-Services/Alesso-Smith/p/book/9781568812120<br />
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Dean Allemang and James Hendler. 2008. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL <br>https://doi.org/10.1016/B978-0-12-373556-0.X0001-9<br />
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Dean Allemang and James Hendler. 2011. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Second Edition <br>https://doi.org/10.1016/C2010-0-68657-3<br />
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Grigoris Antoniou and Frank van Harmelen. 2004. A Semantic Web Primer <br>https://mitpress.mit.edu/9780262012102/a-semantic-web-primer/<br />
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Grigoris Antoniou and Frank van Harmelen. 2008. A Semantic Web Primer. second edition <br>https://mitpress.mit.edu/9780262012102/a-semantic-web-primer<br />
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Grigoris Antoniou, Paul Groth, Frank van Harmelen and Rinke Hoekstra. 2012. A Semantic Web Primer. third edition <br>https://mitpress.mit.edu/9780262018289/a-semantic-web-primer/<br />
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Tim Berners-Lee with Mark Fischetti. 1999. Weaving the Web. The original design and ultimate destiny of the World Wide Web, by its inventor <br>https://www.w3.org/People/Berners-Lee/Weaving/<br />
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Michael C. Daconta, Leo J. Obrst and Kevin T. Smith. 2003. The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management <br>https://www.wiley.com/en-ae/The+Semantic+Web%3A+A+Guide+to+the+Future+of+XML%2C+Web+Services%2C+and+Knowledge+Management-p-9780471432579<br />
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Bob Du Charme. 2011. Learning SPARQL <br>https://www.oreilly.com/library/view/learning-sparql/9781449311285/<br />
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Bob Du Charme. 2013. Learning SPARQL. second edition <br>https://www.oreilly.com/library/view/learning-sparql-2nd/9781449371449/<br />
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Dieter Fensel, Federico Michele Facca, Elena Simperl and Ioan Toma. 2011. Semantic Web Services <br>https://link.springer.com/book/10.1007/978-3-642-19193-0<br />
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Lee W. Lacy. 2006. OWL: Representing Information Using the Web Ontology Language <br>https://www.trafford.com/en/bookstore/bookdetails/184911-OWL<br />
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Peter Mika. 2009. Social Networks and the Semantic Web <br>https://link.springer.com/book/10.1007/978-0-387-71001-3<br />
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Jeffrey T. Pollock. 2009. Semantic Web For Dummies. <br>https://dl.acm.org/doi/book/10.5555/1593457<br />
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Toby Segaran, Colin Evans, Jamie Taylor. 2009. Programming the Semantic Web: Build Flexible Applications with Graph Data. <br>https://www.oreilly.com/library/view/programming-the-semantic/9780596802141/<br />
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Rudi Studer, Stephan Grimm, Andreas Abecker. 2007. Semantic Web Services. Concepts, Technologies, and Applications <br>https://link.springer.com/book/10.1007/3-540-70894-4<br />
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David Wood, Marsha Zaidman, Luke Ruth, and Michael Hausenblas. 2013. Linked Data. Structured data on the Web. <br>https://www.manning.com/books/linked-data<br />
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Liyang Yu. 2014. A Developer’s Guide to the Semantic Web <br>https://link.springer.com/book/10.1007/978-3-662-43796-4</div>Marcohttp://www.lotico.com/index.php/Jason_J._EvansJason J. Evans2024-01-23T14:36:01Z<p>Marco: Created page with "Jason J. Evans is Open Data Manager and National Wikimedian at the Llyfrgell Genedlaethol Cymru / The National Library of Wales Category:Person"</p>
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<div>[[Jason J. Evans]] is Open Data Manager and National Wikimedian at the Llyfrgell Genedlaethol Cymru / The National Library of Wales<br />
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[[Category:Person]]</div>Marcohttp://www.lotico.com/index.php/Yaron_KorenYaron Koren2024-01-13T11:39:49Z<p>Marco: Created page with " Category:Person"</p>
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[[Category:Person]]</div>Marcohttp://www.lotico.com/index.php/Wikibase_Cloud_and_the_SNARC_Hub_for_Name_Authority_Records_Relating_to_Wales_and_in_the_Welsh_LanguageWikibase Cloud and the SNARC Hub for Name Authority Records Relating to Wales and in the Welsh Language2023-12-18T16:27:05Z<p>Marco: </p>
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<div>__NOTOC__<br />
==Wikibase Cloud For Cultural Heritage Data Online==<br />
<FONT SIZE=-2><br />
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Date: Thursday 18th January 2024<br />
Time: 14:00 UTC / London, 15:00 CET / Berlin, 9:00 ET / New York <br />
Type: Online (zoom) <br />
<i>Registration Count: 25</i><br />
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<center><youtube>https://youtu.be/VIIxn9FtZKU</youtube></center><br />
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The Semantic Name Authority Repository Cymru (SNARC) was established in order to provide a central hub for name authority records relating to Wales and in the Welsh language. The authority records related to people, places or social constructs such as organisations or businesses. The database also includes all the additional data needed to describe these things, such as occupations, places of education, language and nationality. Based on Wikidata, but using a simplified and customized ontology, the data is presented as Linked Open Data and this makes it easier for us to define relationships between entities in our collections. All the data is bilingual and available on an Open Licence. The dataset can be explored using the search box on this page, the links below or using the API or Query Service. Our goal is to grow the dataset using data from Welsh cultural organizations, connecting our heritage in one central hub. It will also act as an important bridge between 3rd party linked open data from Wikidata and other sources, and data curated by GLAM professionals around the world.<br />
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<i>some topics for the session</i><br />
* Introduce Wikidata and evolution of the Wikibase offering<br />
* Vision for future of federated Wikibase network<br />
* Wikibase ontology design<br />
* Federation with Wikidata<br />
* Example queries and applications<br />
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===Speaker===<br />
[[Jason J. Evans]] is Open Data Manager and National Wikimedian at the Llyfrgell Genedlaethol Cymru / The National Library of Wales<br />
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===External Links===<br />
*Semantic Name Authority Repository Cymru https://snarc-llgc.wikibase.cloud/wiki/<br />
* Slides PDF http://www.lotico.com/files/WikibaseCloudSNARC.pdf<br />
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===Event Categorization===<br />
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Session-Type: Wikibase - Web of Data - Wikidata - Use Case - GLAM<br />
Session-Level: Beginner - Intermediate <br />
Session-Language: English<br />
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===Event Format===<br />
10 min introduction, 45-60 min presentation, 15 min QA plus 30 min community chat.<br />
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[[Category:Event]]</div>Marcohttp://www.lotico.com/index.php/Dave_RaggettDave Raggett2023-12-05T08:42:35Z<p>Marco: </p>
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<div>Dave Raggett is a web pioneer with a lifelong interest in AI, gaining experience at the University of Oxford (PhD), the Machine Intelligence Research Unit at the University of Edinburgh, the Logic Programming Department at Imperial College, the Computer Science and AI Lab at MIT and many years at HP Lab’s knowledge based programming department. He is now a member of W3C/ERCIM and involved in a succession of European projects. He founded W3C’s Cognitive AI Community Group and is driving ongoing work on human-like AI. He holds an honorary professorship for the University of the West of England.<br />
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[[Category:Person]]</div>Marcohttp://www.lotico.com/index.php/The_Role_of_Symbolic_Knowledge_and_Defeasible_Reasoning_at_the_Dawn_of_AGIThe Role of Symbolic Knowledge and Defeasible Reasoning at the Dawn of AGI2023-12-05T08:42:08Z<p>Marco: </p>
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<div><FONT SIZE=-2><br />
Date: <B>Thursday, February 8th, 2024</b> <br />
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Time: 15:00 CET Berlin / 14:00 UTC London / 9:00 AM ET New York<br />
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Type: Online Meeting<br />
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Registration Count: 98 <i>(as of 8 February 2024)</i><br />
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<center><youtube>https://youtu.be/Iea6i9x7j4k</youtube></center><br />
<!-- iframe key="lotico" path="/lotico/reg.php?event=DefeasibleReasoning&eurl=The_Role_of_Symbolic_Knowledge_and_Defeasible_Reasoning_at_the_Dawn_of_AGI" w="500"/--><br><br />
Large language models and generative AI have shown amazing capabilities. We tend to see them as much more intelligent than they actually are. It is time to embrace the many research challenges ahead before we can truly realise AGI. Work in the cognitive sciences can help us to better mimic human cognition, and to understand how to address generative AI failures such as factual errors, logical errors, inconsistencies, limited reasoning, toxicity, and fluent hallucinations. How can we architect systems that continuously learn from limited data like we do, combining observations and direct experience along with autonomous, algorithmic and reflective cognition?<br />
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If machine learning is so effective for neural networks, where does that leave symbolic AI? My conjecture is that symbolic AI has a strong future as the basis for semantic interoperability between systems, along with knowledge graphs as an evolutionary replacement for today's relational databases. We, however, need to recognise that human interactions and our understanding of the world is replete with uncertainty, imprecision, incompleteness and inconsistency. Logicians have largely turned a blind eye to the challenges of imperfect knowledge.<br />
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This is despite a long tradition of work on argumentation, stretching all the way back to Ancient Greece. This tradition underpins courtroom proceedings, ethical guidelines, political discussion and everyday arguments. I will introduce the plausible knowledge notation as a way to address plausible inference of properties and relationships, fuzzy scalars and quantifiers, along with analogical reasoning. Work on symbolic AI can help guide research on neural networks, and vice versa, neural networks can assist human researchers, speeding the development of new insights.<br />
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===Speaker===<br />
Dr. [[Dave Raggett]] is a web pioneer with a lifelong interest in AI, gaining experience at the University of Oxford (PhD), the Machine Intelligence Research Unit at the University of Edinburgh, the Logic Programming Department at Imperial College, the Computer Science and AI Lab at MIT and many years at HP Lab’s knowledge based programming department. He is now a member of W3C/ERCIM and involved in a succession of European projects. He founded W3C’s Cognitive AI Community Group and is driving ongoing work on human-like AI. He holds an honorary professorship for the University of the West of England.<br />
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===External Resources===<br />
Paper: Defeasible Reasoning with Knowledge Graphs. Dave Raggett. 2023 http://arxiv.org/abs/2309.12731<br />
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Slides: https://www.w3.org/2024/02-Raggett-lotico.pdf<br />
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Demo for plausible reasoning and argumentation https://www.w3.org/Data/demos/chunks/reasoning/<br />
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===Event Categorization===<br />
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Please be advised that this presentation is not addressing existing or already emerging W3C Semantic Web standards at this point. It rather provides a critical review and proposes an alternative strategy to address perceived shortcomings of current mainstream approaches to knowledge graphs, along with opportunities for neurosymbolic approaches using novel neural network architectures that are inspired by what we know about human cognition.<br />
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For Dave Neural networks and vector spaces cut through the barriers for scaling up knowledge based systems. Just as neural networks have blown away symbolic approaches to natural language translation, hand-crafted ontologies will always be impoverished compared with the richness and subtlety of approaches centred upon machine learning and collaborative knowledge engineering. Today’s generative AI is just the starting point, and there are many exciting opportunities for young researchers!<br />
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I recommend attending this session if you already possess a good understanding of existing standards and design patterns and would like to entertain new concepts that may influence the trajectory of future developments. It's an invitation to discuss concepts like PKN and Defeasible Reasoning with a leading domain expert directly.<br />
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Session-Type: Reasoning - Web of Data - Alternative Concepts - Critical Review - Research<br />
Session-Level: Intermediate <br />
Session-Language: English<br />
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[[Category:Event]]</div>Marcohttp://www.lotico.com/index.php/Jose_Emilio_Labra_GayoJose Emilio Labra Gayo2023-11-30T18:18:20Z<p>Marco: </p>
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URL: https://labra.weso.es/<br />
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[[Category:Person]]</div>Marco