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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/hangdong"><title>BibSonomy bookmarks for /user/hangdong</title><link>https://www.bibsonomy.org/user/hangdong</link><description>BibSonomy RSS Feed for /user/hangdong</description><items><rdf:Seq><rdf:li rdf:resource="https://fortune.com/2025/07/20/uk-health-service-ai-tool-false-diagnoses-patient-screening-nhs-anima-health-annie/"/><rdf:li rdf:resource="https://journals.sagepub.com/doi/full/10.1177/17248035251363882"/><rdf:li rdf:resource="https://christophm.github.io/interpretable-ml-book/"/><rdf:li rdf:resource="https://www.google.co.uk/books/edition/Oliver_Twist_Or_The_Parish_Boy_s_Progres/PwI3AAAAYAAJ?hl=en&amp;gbpv=0"/><rdf:li rdf:resource="https://videolectures.net/videos/eswc2024_dong_concept_placement"/><rdf:li rdf:resource="https://www.google.co.uk/books/edition/Precious_Impossible_Selected_Poems/3Y8WEQAAQBAJ?hl=en&amp;gbpv=0"/><rdf:li rdf:resource="https://www.simonandschuster.com/books/Bibliotherapy-in-the-Bronx/Emely-Rumble-LCSW/9781955905879"/><rdf:li rdf:resource="https://www.insticc.org/node/TechnicalProgram/IC3K/2024/presentationDetails/130136"/><rdf:li rdf:resource="https://aidanhogan.com/blog/index.php/2022/10/27/publishing-research-semantic-web/"/><rdf:li rdf:resource="https://purple-plant-0f4023d0f.2.azurestaticapps.net/OMOPConceptSets"/><rdf:li rdf:resource="https://blog.dblp.org/2024/01/01/7-million-publications/"/><rdf:li rdf:resource="https://opensource.org/deepdive/drafts/the-open-source-ai-definition-draft-v-0-0-8"/><rdf:li rdf:resource="https://neurosymbolic-ai-journal.com/paper/survey-neurosymbolic-visual-reasoning-scene-graphs-and-common-sense-knowledge"/><rdf:li rdf:resource="https://github.com/jingcshi/bert_subsumption"/><rdf:li rdf:resource="http://videolectures.net/eswc2023_veseli_evaluating_language_models/"/><rdf:li rdf:resource="https://www.youtube.com/watch?v=vuKKubFaOjs"/><rdf:li rdf:resource="http://videolectures.net/eswc2023_van_erp_graphs/"/><rdf:li rdf:resource="https://zenodo.org/record/8147589"/><rdf:li rdf:resource="https://underline.io/lecture/51425-horses-to-zebras-ontology-guided-data-augmentation-and-synthesis-for-icd-9-coding"/><rdf:li rdf:resource="https://www.newscientist.com/article/2370923-chemists-are-teaching-gpt-4-to-do-chemistry-and-control-lab-robots/"/></rdf:Seq></items></channel><item rdf:about="https://fortune.com/2025/07/20/uk-health-service-ai-tool-false-diagnoses-patient-screening-nhs-anima-health-annie/"><title>UK health service AI tool generated a set of false diagnoses for a patient | Fortune</title><description></description><link>https://fortune.com/2025/07/20/uk-health-service-ai-tool-false-diagnoses-patient-screening-nhs-anima-health-annie/</link><dc:creator>hangdong</dc:creator><dc:date>2025-08-12T22:41:51+02:00</dc:date><dc:subject>NHS diagnosis digital-health gen-AI </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-08-12T22:41:51+02:00&#034; href=&#034;https://fortune.com/2025/07/20/uk-health-service-ai-tool-false-diagnoses-patient-screening-nhs-anima-health-annie/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://fortune.com/2025/07/20/uk-health-service-ai-tool-false-diagnoses-patient-screening-nhs-anima-health-annie/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/NHS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/diagnosis"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/digital-health"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/gen-AI"/></rdf:Bag></taxo:topics></item><item rdf:about="https://journals.sagepub.com/doi/full/10.1177/17248035251363882"><title>Evaluating Inductive Reasoning and Programming Capabilities of Large Language Models With The One-Dimensional Abstract Reasoning Corpus - Cédric Mesnage, Xiaoyang Wang, Hang Dong, Aishwaryaprajna, 2025</title><description></description><link>https://journals.sagepub.com/doi/full/10.1177/17248035251363882</link><dc:creator>hangdong</dc:creator><dc:date>2025-08-11T09:57:19+02:00</dc:date><dc:subject>1d-arc abstract-reasoning-corpus inductive-reasoning llm myown program-synthesis </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-08-11T09:57:19+02:00&#034; href=&#034;https://journals.sagepub.com/doi/full/10.1177/17248035251363882&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://journals.sagepub.com/doi/full/10.1177/17248035251363882&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/1d-arc"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/abstract-reasoning-corpus"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/inductive-reasoning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/llm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/myown"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/program-synthesis"/></rdf:Bag></taxo:topics></item><item rdf:about="https://christophm.github.io/interpretable-ml-book/"><title>Interpretable Machine Learning</title><description></description><link>https://christophm.github.io/interpretable-ml-book/</link><dc:creator>hangdong</dc:creator><dc:date>2025-07-19T20:47:11+02:00</dc:date><dc:subject>XAI explainability interpretability machine-learning shap </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-07-19T20:47:11+02:00&#034; href=&#034;https://christophm.github.io/interpretable-ml-book/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://christophm.github.io/interpretable-ml-book/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/XAI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/explainability"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/interpretability"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine-learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/shap"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.google.co.uk/books/edition/Oliver_Twist_Or_The_Parish_Boy_s_Progres/PwI3AAAAYAAJ?hl=en&amp;gbpv=0"><title>Oliver Twist, Or, The Parish Boy&#039;s Progress - Google Books</title><description></description><link>https://www.google.co.uk/books/edition/Oliver_Twist_Or_The_Parish_Boy_s_Progres/PwI3AAAAYAAJ?hl=en&amp;gbpv=0</link><dc:creator>hangdong</dc:creator><dc:date>2025-04-28T23:09:58+02:00</dc:date><dc:subject>literature oliver-twist </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-04-28T23:09:58+02:00&#034; href=&#034;https://www.google.co.uk/books/edition/Oliver_Twist_Or_The_Parish_Boy_s_Progres/PwI3AAAAYAAJ?hl=en&amp;amp;gbpv=0&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.google.co.uk/books/edition/Oliver_Twist_Or_The_Parish_Boy_s_Progres/PwI3AAAAYAAJ?hl=en&amp;amp;gbpv=0&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/literature"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/oliver-twist"/></rdf:Bag></taxo:topics></item><item rdf:about="https://videolectures.net/videos/eswc2024_dong_concept_placement"><title>A Language Model based Framework for New Concept Placement in Ontologies</title><description>We investigate the task of inserting new concepts extracted from texts into an ontology using language models. We explore an approach with three steps: edge search which is to find a set of candidate locations to insert (i.e., subsumptions between concepts), edge formation and enrichment which leverages the ontological structure to produce and enhance the edge candidates, and edge selection which eventually locates the edge to be placed into. In all steps, we propose to leverage neural methods, where we apply embedding-based methods and contrastive learning with Pre-trained Language Models (PLMs) such as BERT for edge search, and adapt a BERT fine-tuning-based multi-label Edge-Cross-encoder, and Large Language Models (LLMs) such as GPT series, FLAN-T5, and Llama 2, for edge selection. We evaluate the methods on recent datasets created using the SNOMED CT ontology and the MedMentions entity linking benchmark. The best settings in our framework use fine-tuned PLM for search and a multi-label Cross-encoder for selection. Zero-shot prompting of LLMs is still not adequate for the task, and we propose explainable instruction tuning of LLMs for improved performance. Our study shows the advantages of PLMs and highlights the encouraging performance of LLMs that motivates future studies.</description><link>https://videolectures.net/videos/eswc2024_dong_concept_placement</link><dc:creator>hangdong</dc:creator><dc:date>2025-04-19T10:15:03+02:00</dc:date><dc:subject>llm myown ontologies ontology_learning plm snomedct video </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;We investigate the task of inserting new concepts extracted from texts into an ontology using language models. We explore an approach with three steps: edge search which is to find a set of candidate locations to insert (i.e., subsumptions between concepts), edge formation and enrichment which leverages the ontological structure to produce and enhance the edge candidates, and edge selection which eventually locates the edge to be placed into. In all steps, we propose to leverage neural methods, where we apply embedding-based methods and contrastive learning with Pre-trained Language Models (PLMs) such as BERT for edge search, and adapt a BERT fine-tuning-based multi-label Edge-Cross-encoder, and Large Language Models (LLMs) such as GPT series, FLAN-T5, and Llama 2, for edge selection. We evaluate the methods on recent datasets created using the SNOMED CT ontology and the MedMentions entity linking benchmark. The best settings in our framework use fine-tuned PLM for search and a multi-label Cross-encoder for selection. Zero-shot prompting of LLMs is still not adequate for the task, and we propose explainable instruction tuning of LLMs for improved performance. Our study shows the advantages of PLMs and highlights the encouraging performance of LLMs that motivates future studies.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/llm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/myown"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontologies"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology_learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/plm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/snomedct"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/video"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.google.co.uk/books/edition/Precious_Impossible_Selected_Poems/3Y8WEQAAQBAJ?hl=en&amp;gbpv=0"><title>Precious &amp; Impossible: Selected Poems - Google Books</title><description>Featuring exclusive new work, Precious and Impossible gathers together over three decades of poetry from the T S Eliot Prize-winning Anthony Joseph. With an introduction by Lauri ScheyerFor over three decades, Anthony Joseph&#039;s work has explored the transnational vibrations of the African diaspora. Precious and Impossible brings together thirty years of Joseph&#039;s poetry and lyrics – cementing his status as one of our greatest living poets and polymaths&#039;Joseph is both a faithful heir and an agnostic rebel; a Black poet haunted by Africa&#039;s past as well as a bilingual post-modernist amused by the possibilities of the future&#039; Ali Alizadeh</description><link>https://www.google.co.uk/books/edition/Precious_Impossible_Selected_Poems/3Y8WEQAAQBAJ?hl=en&amp;gbpv=0</link><dc:creator>hangdong</dc:creator><dc:date>2025-02-27T12:59:20+01:00</dc:date><dc:subject>Anthony_Joseph african black poem </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Featuring exclusive new work, Precious and Impossible gathers together over three decades of poetry from the T S Eliot Prize-winning Anthony Joseph. With an introduction by Lauri ScheyerFor over three decades, Anthony Joseph&amp;#039;s work has explored the transnational vibrations of the African diaspora. Precious and Impossible brings together thirty years of Joseph&amp;#039;s poetry and lyrics – cementing his status as one of our greatest living poets and polymaths&amp;#039;Joseph is both a faithful heir and an agnostic rebel; a Black poet haunted by Africa&amp;#039;s past as well as a bilingual post-modernist amused by the possibilities of the future&amp;#039; Ali Alizadeh&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Anthony_Joseph"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/african"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/black"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/poem"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.simonandschuster.com/books/Bibliotherapy-in-the-Bronx/Emely-Rumble-LCSW/9781955905879"><title>Bibliotherapy in the Bronx | Book by Emely Rumble, LCSW | Official Publisher Page | Simon &amp; Schuster</title><description></description><link>https://www.simonandschuster.com/books/Bibliotherapy-in-the-Bronx/Emely-Rumble-LCSW/9781955905879</link><dc:creator>hangdong</dc:creator><dc:date>2025-02-27T12:56:47+01:00</dc:date><dc:subject>bibliotherapy </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2025-02-27T12:56:47+01:00&#034; href=&#034;https://www.simonandschuster.com/books/Bibliotherapy-in-the-Bronx/Emely-Rumble-LCSW/9781955905879&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.simonandschuster.com/books/Bibliotherapy-in-the-Bronx/Emely-Rumble-LCSW/9781955905879&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bibliotherapy"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.insticc.org/node/TechnicalProgram/IC3K/2024/presentationDetails/130136"><title>HTEKG: A Human-Trait-Enhanced Literary Knowledge Graph with Language Model Evaluation - IC3K 2024</title><description></description><link>https://www.insticc.org/node/TechnicalProgram/IC3K/2024/presentationDetails/130136</link><dc:creator>hangdong</dc:creator><dc:date>2024-12-09T18:43:24+01:00</dc:date><dc:subject>KG Knowledge-graph-construction LLM kowledge-graph language-model literature literature-KG myown poster </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-12-09T18:43:24+01:00&#034; href=&#034;https://www.insticc.org/node/TechnicalProgram/IC3K/2024/presentationDetails/130136&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.insticc.org/node/TechnicalProgram/IC3K/2024/presentationDetails/130136&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/KG"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Knowledge-graph-construction"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LLM"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/kowledge-graph"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language-model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/literature"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/literature-KG"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/myown"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/poster"/></rdf:Bag></taxo:topics></item><item rdf:about="https://aidanhogan.com/blog/index.php/2022/10/27/publishing-research-semantic-web/"><title>Publishing research about the Semantic Web – Marginalia</title><description></description><link>https://aidanhogan.com/blog/index.php/2022/10/27/publishing-research-semantic-web/</link><dc:creator>hangdong</dc:creator><dc:date>2024-12-08T14:21:44+01:00</dc:date><dc:subject>OA open-access publishing semantic-web </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-12-08T14:21:44+01:00&#034; href=&#034;https://aidanhogan.com/blog/index.php/2022/10/27/publishing-research-semantic-web/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://aidanhogan.com/blog/index.php/2022/10/27/publishing-research-semantic-web/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/OA"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/open-access"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/publishing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic-web"/></rdf:Bag></taxo:topics></item><item rdf:about="https://purple-plant-0f4023d0f.2.azurestaticapps.net/OMOPConceptSets"><title>TermHub</title><description></description><link>https://purple-plant-0f4023d0f.2.azurestaticapps.net/OMOPConceptSets</link><dc:creator>hangdong</dc:creator><dc:date>2024-05-18T17:38:46+02:00</dc:date><dc:subject>ontology-mapping phenotyping terminologies </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-05-18T17:38:46+02:00&#034; href=&#034;https://purple-plant-0f4023d0f.2.azurestaticapps.net/OMOPConceptSets&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://purple-plant-0f4023d0f.2.azurestaticapps.net/OMOPConceptSets&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology-mapping"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/phenotyping"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/terminologies"/></rdf:Bag></taxo:topics></item><item rdf:about="https://blog.dblp.org/2024/01/01/7-million-publications/"><title>7 million publications – blog.dblp.org</title><description></description><link>https://blog.dblp.org/2024/01/01/7-million-publications/</link><dc:creator>hangdong</dc:creator><dc:date>2024-05-18T15:23:06+02:00</dc:date><dc:subject>dblp dblp-data knowledge-graph publication-data </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-05-18T15:23:06+02:00&#034; href=&#034;https://blog.dblp.org/2024/01/01/7-million-publications/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://blog.dblp.org/2024/01/01/7-million-publications/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dblp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dblp-data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge-graph"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/publication-data"/></rdf:Bag></taxo:topics></item><item rdf:about="https://opensource.org/deepdive/drafts/the-open-source-ai-definition-draft-v-0-0-8"><title>The Open Source AI Definition – draft v. 0.0.8 – Open Source Initiative</title><description></description><link>https://opensource.org/deepdive/drafts/the-open-source-ai-definition-draft-v-0-0-8</link><dc:creator>hangdong</dc:creator><dc:date>2024-05-17T11:10:45+02:00</dc:date><dc:subject>open-AI open-access open-science </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-05-17T11:10:45+02:00&#034; href=&#034;https://opensource.org/deepdive/drafts/the-open-source-ai-definition-draft-v-0-0-8&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://opensource.org/deepdive/drafts/the-open-source-ai-definition-draft-v-0-0-8&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/open-AI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/open-access"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/open-science"/></rdf:Bag></taxo:topics></item><item rdf:about="https://neurosymbolic-ai-journal.com/paper/survey-neurosymbolic-visual-reasoning-scene-graphs-and-common-sense-knowledge"><title>A Survey of Neurosymbolic Visual Reasoning with Scene Graphs and Common Sense Knowledge | Neurosymbolic Artificial Intelligence</title><description></description><link>https://neurosymbolic-ai-journal.com/paper/survey-neurosymbolic-visual-reasoning-scene-graphs-and-common-sense-knowledge</link><dc:creator>hangdong</dc:creator><dc:date>2024-04-06T12:21:00+02:00</dc:date><dc:subject>computer-vision multi-modal-learning neuro-symbolic </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-04-06T12:21:00+02:00&#034; href=&#034;https://neurosymbolic-ai-journal.com/paper/survey-neurosymbolic-visual-reasoning-scene-graphs-and-common-sense-knowledge&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://neurosymbolic-ai-journal.com/paper/survey-neurosymbolic-visual-reasoning-scene-graphs-and-common-sense-knowledge&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/computer-vision"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/multi-modal-learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/neuro-symbolic"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/jingcshi/bert_subsumption"><title>jingcshi/bert_subsumption: Subsumption prediction on e-commerce taxonomies</title><description></description><link>https://github.com/jingcshi/bert_subsumption</link><dc:creator>hangdong</dc:creator><dc:date>2023-10-13T12:10:21+02:00</dc:date><dc:subject>e-commerce ontology_learning subsumption </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2023-10-13T12:10:21+02:00&#034; href=&#034;https://github.com/jingcshi/bert_subsumption&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://github.com/jingcshi/bert_subsumption&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/e-commerce"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology_learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/subsumption"/></rdf:Bag></taxo:topics></item><item rdf:about="http://videolectures.net/eswc2023_veseli_evaluating_language_models/"><title>Evaluating Language Models for Knowledge Base Completion - VideoLectures.NET</title><description></description><link>http://videolectures.net/eswc2023_veseli_evaluating_language_models/</link><dc:creator>hangdong</dc:creator><dc:date>2023-09-22T12:56:47+02:00</dc:date><dc:subject>eswc kbc kgc knowledge-base-completion lm </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2023-09-22T12:56:47+02:00&#034; 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data-versiondate=&#034;2023-09-22T12:55:10+02:00&#034; href=&#034;https://www.youtube.com/watch?v=vuKKubFaOjs&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.youtube.com/watch?v=vuKKubFaOjs&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontologies"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/pinterest"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social-media"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/taxonomy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/taxonomy-expansion"/></rdf:Bag></taxo:topics></item><item rdf:about="http://videolectures.net/eswc2023_van_erp_graphs/"><title>▶ Unflattening Knowledge Graphs - VideoLectures.NET</title><description></description><link>http://videolectures.net/eswc2023_van_erp_graphs/</link><dc:creator>hangdong</dc:creator><dc:date>2023-08-15T12:35:57+02:00</dc:date><dc:subject>archives digital-humanities entities entity-linking erc-projects kgs knowledge-representation newspapers ontologies word-sense-disambiguation </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; 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