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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/tag/alignment"><title>BibSonomy bookmarks for /tag/alignment</title><link>https://www.bibsonomy.org/tag/alignment</link><description>BibSonomy RSS Feed for /tag/alignment</description><items><rdf:Seq><rdf:li rdf:resource="https://yuktayoga.org/blog/"/><rdf:li rdf:resource="https://yuktayoga.org/teacher-training-course/"/><rdf:li rdf:resource="https://yuktayoga.org/asanas/"/><rdf:li rdf:resource="https://yuktayoga.org/"/><rdf:li rdf:resource="https://chchch.github.io/sanskrit-alignment/docs/"/><rdf:li rdf:resource="https://learningsolutionsmag.com/articles/don-t-just-give-me-all-the-data-align-kpis-with-xapi"/><rdf:li rdf:resource="https://ai.objectives.institute/"/><rdf:li rdf:resource="https://arxiv.org/abs/1901.00064"/><rdf:li rdf:resource="https://usegalaxy.org/"/><rdf:li rdf:resource="https://github.com/dasmiq/passim"/><rdf:li rdf:resource="http://www.ke.tu-darmstadt.de/resources/ontology-matching"/><rdf:li rdf:resource="https://scfbm.biomedcentral.com/articles/10.1186/1751-0473-9-13"/><rdf:li rdf:resource="https://er.educause.edu/blogs/2019/12/how-mission-aligned-analytics-questions-can-support-institutional-transformation"/><rdf:li rdf:resource="https://www.aclweb.org/anthology/N18-1072/"/><rdf:li rdf:resource="http://oaei.ontologymatching.org/2019/"/><rdf:li rdf:resource="https://towardsdatascience.com/semantic-similarity-classifier-and-clustering-sentences-based-on-semantic-similarity-a5a564e22304"/><rdf:li rdf:resource="https://www.kaggle.com/antriksh5235/semantic-similarity-using-wordnet"/><rdf:li rdf:resource="https://www.aclweb.org/anthology/N18-1072/"/><rdf:li rdf:resource="https://towardsdatascience.com/semantic-similarity-classifier-and-clustering-sentences-based-on-semantic-similarity-a5a564e22304"/><rdf:li rdf:resource="https://www.slideshare.net/markoteras/wcol2019-what-can-learning-analytics-do-for-me-students-and-teachers-perspectives"/></rdf:Seq></items></channel><item rdf:about="https://yuktayoga.org/blog/"><title>Blog - Yukta Yoga</title><description>Explore the Yukta Yoga Blog for expert insights on yoga, pranayama, meditation, alignment-based practice, prenatal yoga, Vedic wisdom, and holistic wellness. Discover practical tips, ancient yogic philosophy, and mindful living guidance to support your journey toward better health, balance, and self-awareness.</description><link>https://yuktayoga.org/blog/</link><dc:creator>yuktayoga2026</dc:creator><dc:date>2026-07-23T19:39:33+02:00</dc:date><dc:subject>Chanting Retreats Vedic alignment asanas pranayama prenatal ttc yoga </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Explore the Yukta Yoga Blog for expert insights on yoga, pranayama, meditation, alignment-based practice, prenatal yoga, Vedic wisdom, and holistic wellness. 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Deepen your practice, learn safe teaching, &amp; gain confidence to guide others.</description><link>https://yuktayoga.org/teacher-training-course/</link><dc:creator>yuktayoga2026</dc:creator><dc:date>2026-07-23T19:25:21+02:00</dc:date><dc:subject>200 India Mumbai Satavisha TTC Yoga alignment certification course hour teacher training yoga </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Join our 200-hour Yoga TTC rooted in Krishnamacharya tradition. Deepen your practice, learn safe teaching, &amp;amp; gain confidence to guide others.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/200"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/India"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Mumbai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Satavisha"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/TTC"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Yoga"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/certification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/course"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/hour"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/teacher"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/training"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/yoga"/></rdf:Bag></taxo:topics></item><item rdf:about="https://yuktayoga.org/asanas/"><title>Asana Practice with Alignment | Yukta Yoga</title><description>Refine your asana practice with safe, alignment-based teaching using props. 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Taught by Satavisha, rooted in Krishnamacharya’s tradition.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Iyengar-inspired"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/anatomy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/asana"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/asanas"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/breakdowns"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/modern"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/postures"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/props"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/safe"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/with"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/yoga"/></rdf:Bag></taxo:topics></item><item rdf:about="https://yuktayoga.org/"><title>Alignment-Based Yoga &amp; TTC | Yukta Yoga</title><description>Explore safe, alignment-led yoga rooted in the Krishnamacharya tradition. Online and in-person classes &amp; TTC with certified teacher Satavisha.</description><link>https://yuktayoga.org/</link><dc:creator>yuktayoga2026</dc:creator><dc:date>2026-07-22T19:59:25+02:00</dc:date><dc:subject>Krishnamacharya alignment classes injury-free online yoga </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Explore safe, alignment-led yoga rooted in the Krishnamacharya tradition. Online and in-person classes &amp;amp; TTC with certified teacher Satavisha.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Krishnamacharya"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classes"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/injury-free"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/online"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/yoga"/></rdf:Bag></taxo:topics></item><item rdf:about="https://chchch.github.io/sanskrit-alignment/docs/"><title>Reconstructing a Sanskrit text using computers</title><description></description><link>https://chchch.github.io/sanskrit-alignment/docs/</link><dc:creator>avs</dc:creator><dc:date>2024-01-09T19:43:23+01:00</dc:date><dc:subject>Alignment Kollation Sanskrit </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-01-09T19:43:23+01:00&#034; href=&#034;https://chchch.github.io/sanskrit-alignment/docs/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://chchch.github.io/sanskrit-alignment/docs/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Kollation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Sanskrit"/></rdf:Bag></taxo:topics></item><item rdf:about="https://learningsolutionsmag.com/articles/don-t-just-give-me-all-the-data-align-kpis-with-xapi"><title>Don’t Just Give Me All the Data - Align KPIs with xAPI | Learning Solutions Magazine</title><description>The Experience API (xAPI) allows us to collect data about any type of learning experience or activity, but does that mean we should? Should we generate massive amounts of xAPI data for every possible type of interaction and then expect to make sense of it all later? This approach can be costly in terms of data storage, but also in terms of your time.</description><link>https://learningsolutionsmag.com/articles/don-t-just-give-me-all-the-data-align-kpis-with-xapi</link><dc:creator>ereidt</dc:creator><dc:date>2022-10-23T15:26:17+02:00</dc:date><dc:subject>LMS LRS alignment evaluation instructionaldesign interaction learninganalytics measurement reporting strategy xAPI </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;The Experience API (xAPI) allows us to collect data about any type of learning experience or activity, but does that mean we should? Should we generate massive amounts of xAPI data for every possible type of interaction and then expect to make sense of it all later? This approach can be costly in terms of data storage, but also in terms of your time.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LMS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LRS"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evaluation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/instructionaldesign"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/interaction"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/measurement"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/reporting"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/strategy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/xAPI"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ai.objectives.institute/"><title>AI • Objectives • Institute</title><description></description><link>https://ai.objectives.institute/</link><dc:creator>bshanks</dc:creator><dc:date>2022-09-03T18:41:55+02:00</dc:date><dc:subject>ai align alignment econ ethics friend friendly market </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-09-03T18:41:55+02:00&#034; href=&#034;https://ai.objectives.institute/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://ai.objectives.institute/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/align"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/econ"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ethics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/friend"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/friendly"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/market"/></rdf:Bag></taxo:topics></item><item rdf:about="https://arxiv.org/abs/1901.00064"><title>[1901.00064] Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function)</title><description></description><link>https://arxiv.org/abs/1901.00064</link><dc:creator>bshanks</dc:creator><dc:date>2022-09-03T18:41:27+02:00</dc:date><dc:subject>ai align alignment ethics friend friendly safe utility </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-09-03T18:41:27+02:00&#034; href=&#034;https://arxiv.org/abs/1901.00064&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://arxiv.org/abs/1901.00064&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ai"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/align"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ethics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/friend"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/friendly"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/safe"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/utility"/></rdf:Bag></taxo:topics></item><item rdf:about="https://usegalaxy.org/"><title>Galaxy</title><description></description><link>https://usegalaxy.org/</link><dc:creator>becker</dc:creator><dc:date>2022-03-31T01:03:02+02:00</dc:date><dc:subject>data intensice biomedical research platform tools code gene genes alignment </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-03-31T01:03:02+02:00&#034; href=&#034;https://usegalaxy.org/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://usegalaxy.org/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/intensice"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/biomedical"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/platform"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tools"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/code"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/gene"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/genes"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/dasmiq/passim"><title>GitHub - dasmiq/passim: Detect and align similar passages</title><description>Detect and align similar passages. 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Contribute to dasmiq/passim development by creating an account on GitHub.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Intertextualität"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.ke.tu-darmstadt.de/resources/ontology-matching"><title>Ontology Matching Tools —</title><description></description><link>http://www.ke.tu-darmstadt.de/resources/ontology-matching</link><dc:creator>dawa</dc:creator><dc:date>2020-05-02T08:22:03+02:00</dc:date><dc:subject>alignment benchmarking knowledge matching ontology-matching </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-05-02T08:22:03+02:00&#034; href=&#034;http://www.ke.tu-darmstadt.de/resources/ontology-matching&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.ke.tu-darmstadt.de/resources/ontology-matching&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/benchmarking"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/matching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology-matching"/></rdf:Bag></taxo:topics></item><item rdf:about="https://scfbm.biomedcentral.com/articles/10.1186/1751-0473-9-13"><title>biobambam: tools for read pair collation based algorithms on BAM files | Source Code for Biology and Medicine | Full Text</title><description>Sequence alignment data is often ordered by coordinate (id of the reference sequence plus position on the sequence where the fragment was mapped) when stored in BAM files, as this simplifies the extraction of variants between the mapped data and the reference or of variants within the mapped data. In this order paired reads are usually separated in the file, which complicates some other applications like duplicate marking or conversion to the FastQ format which require to access the full information of the pairs. In this paper we introduce biobambam, a set of tools based on the efficient collation of alignments in BAM files by read name. The employed collation algorithm avoids time and space consuming sorting of alignments by read name where this is possible without using more than a specified amount of main memory. Using this algorithm tasks like duplicate marking in BAM files and conversion of BAM files to the FastQ format can be performed very efficiently with limited resources. We also make the collation algorithm available in the form of an API for other projects. This API is part of the libmaus package. In comparison with previous approaches to problems involving the collation of alignments by read name like the BAM to FastQ or duplication marking utilities our approach can often perform an equivalent task more efficiently in terms of the required main memory and run-time. Our BAM to FastQ conversion is faster than all widely known alternatives including Picard and bamUtil. Our duplicate marking is about as fast as the closest competitor bamUtil for small data sets and faster than all known alternatives on large and complex data sets.</description><link>https://scfbm.biomedcentral.com/articles/10.1186/1751-0473-9-13</link><dc:creator>marcsaric</dc:creator><dc:date>2020-04-30T08:55:33+02:00</dc:date><dc:subject>alignment bam c++ fastq fulltext sequencing software utility </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Sequence alignment data is often ordered by coordinate (id of the reference sequence plus position on the sequence where the fragment was mapped) when stored in BAM files, as this simplifies the extraction of variants between the mapped data and the reference or of variants within the mapped data. In this order paired reads are usually separated in the file, which complicates some other applications like duplicate marking or conversion to the FastQ format which require to access the full information of the pairs. In this paper we introduce biobambam, a set of tools based on the efficient collation of alignments in BAM files by read name. The employed collation algorithm avoids time and space consuming sorting of alignments by read name where this is possible without using more than a specified amount of main memory. Using this algorithm tasks like duplicate marking in BAM files and conversion of BAM files to the FastQ format can be performed very efficiently with limited resources. We also make the collation algorithm available in the form of an API for other projects. This API is part of the libmaus package. In comparison with previous approaches to problems involving the collation of alignments by read name like the BAM to FastQ or duplication marking utilities our approach can often perform an equivalent task more efficiently in terms of the required main memory and run-time. Our BAM to FastQ conversion is faster than all widely known alternatives including Picard and bamUtil. Our duplicate marking is about as fast as the closest competitor bamUtil for small data sets and faster than all known alternatives on large and complex data sets.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bam"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/c++"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/fastq"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/fulltext"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/sequencing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/software"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/utility"/></rdf:Bag></taxo:topics></item><item rdf:about="https://er.educause.edu/blogs/2019/12/how-mission-aligned-analytics-questions-can-support-institutional-transformation"><title>How Mission-Aligned Analytics Questions Can Support Institutional Transformation</title><description>Using analytics tools to answer institutional mission- and goal-aligned questions can help to facilitate the implementation of Dx initiatives</description><link>https://er.educause.edu/blogs/2019/12/how-mission-aligned-analytics-questions-can-support-institutional-transformation</link><dc:creator>ereidt</dc:creator><dc:date>2020-01-26T11:42:22+01:00</dc:date><dc:subject>alignment decisions enterprise highered institution learninganalytics transformation </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Using analytics tools to answer institutional mission- and goal-aligned questions can help to facilitate the implementation of Dx initiatives&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/decisions"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/enterprise"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/highered"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/institution"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/transformation"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.aclweb.org/anthology/N18-1072/"><title>DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors - ACL Anthology</title><description></description><link>https://www.aclweb.org/anthology/N18-1072/</link><dc:creator>blasp</dc:creator><dc:date>2020-01-12T10:13:01+01:00</dc:date><dc:subject>alignment knowledge matching nlp ontology ontology-alignment ontology-matching relatedness </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-01-12T10:13:01+01:00&#034; href=&#034;https://www.aclweb.org/anthology/N18-1072/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.aclweb.org/anthology/N18-1072/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/matching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nlp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology-alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology-matching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/relatedness"/></rdf:Bag></taxo:topics></item><item rdf:about="http://oaei.ontologymatching.org/2019/"><title>OAEI2019</title><description></description><link>http://oaei.ontologymatching.org/2019/</link><dc:creator>blasp</dc:creator><dc:date>2020-01-12T10:12:45+01:00</dc:date><dc:subject>alignment knowledge matching nlp ontology-matching </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-01-12T10:12:45+01:00&#034; href=&#034;http://oaei.ontologymatching.org/2019/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://oaei.ontologymatching.org/2019/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/matching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nlp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology-matching"/></rdf:Bag></taxo:topics></item><item rdf:about="https://towardsdatascience.com/semantic-similarity-classifier-and-clustering-sentences-based-on-semantic-similarity-a5a564e22304"><title>Semantic similarity classifier and clustering sentences based on semantic similarity.</title><description>Recently we have been doing some experiments to cluster semantically similar messages, by leveraging pre-trained models so we can get something off the ground using no labelled data. Task here is…</description><link>https://towardsdatascience.com/semantic-similarity-classifier-and-clustering-sentences-based-on-semantic-similarity-a5a564e22304</link><dc:creator>blasp</dc:creator><dc:date>2020-01-12T10:12:35+01:00</dc:date><dc:subject>alignment knowledge matching semantic similarities similarity-measurement </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Recently we have been doing some experiments to cluster semantically similar messages, by leveraging pre-trained models so we can get something off the ground using no labelled data. Task here is…&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/matching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/similarities"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/similarity-measurement"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.kaggle.com/antriksh5235/semantic-similarity-using-wordnet"><title>Semantic Similarity using WordNet | Kaggle</title><description></description><link>https://www.kaggle.com/antriksh5235/semantic-similarity-using-wordnet</link><dc:creator>dawa</dc:creator><dc:date>2019-12-14T21:34:37+01:00</dc:date><dc:subject>alignment benchmarking matching measures semantic-measure semantic-similarity </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2019-12-14T21:34:37+01:00&#034; href=&#034;https://www.kaggle.com/antriksh5235/semantic-similarity-using-wordnet&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.kaggle.com/antriksh5235/semantic-similarity-using-wordnet&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/benchmarking"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/matching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/measures"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic-measure"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic-similarity"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.aclweb.org/anthology/N18-1072/"><title>DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors - ACL Anthology</title><description></description><link>https://www.aclweb.org/anthology/N18-1072/</link><dc:creator>dawa</dc:creator><dc:date>2019-12-14T21:31:34+01:00</dc:date><dc:subject>alignment knowledge matching measures ontology ontology-alignment semantic </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2019-12-14T21:31:34+01:00&#034; href=&#034;https://www.aclweb.org/anthology/N18-1072/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.aclweb.org/anthology/N18-1072/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/matching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/measures"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology-alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic"/></rdf:Bag></taxo:topics></item><item rdf:about="https://towardsdatascience.com/semantic-similarity-classifier-and-clustering-sentences-based-on-semantic-similarity-a5a564e22304"><title>Semantic similarity classifier and clustering sentences based on semantic similarity.</title><description></description><link>https://towardsdatascience.com/semantic-similarity-classifier-and-clustering-sentences-based-on-semantic-similarity-a5a564e22304</link><dc:creator>dawa</dc:creator><dc:date>2019-12-14T21:29:44+01:00</dc:date><dc:subject>alignment knowledge matching semantic similarities similarity-measurement </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2019-12-14T21:29:44+01:00&#034; href=&#034;https://towardsdatascience.com/semantic-similarity-classifier-and-clustering-sentences-based-on-semantic-similarity-a5a564e22304&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://towardsdatascience.com/semantic-similarity-classifier-and-clustering-sentences-based-on-semantic-similarity-a5a564e22304&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/knowledge"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/matching"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/semantic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/similarities"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/similarity-measurement"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.slideshare.net/markoteras/wcol2019-what-can-learning-analytics-do-for-me-students-and-teachers-perspectives"><title>WCOL2019: &#034;What can learning analytics do for me?&#034; Students&#039; and teachers&#039; perspectives</title><description>Presentation from Marko Teräs at the 28th ICDE World Conference on Online Learning of a national-level learning analytics research and development project funded by the Finnish Ministry of Education and Culture. Student and teacher needs analysis results for LA pilot development and for policy recommendations.</description><link>https://www.slideshare.net/markoteras/wcol2019-what-can-learning-analytics-do-for-me-students-and-teachers-perspectives</link><dc:creator>ereidt</dc:creator><dc:date>2019-11-10T10:32:36+01:00</dc:date><dc:subject>alignment learninganalytics learningdesign perspectives research slideshare students teachers </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Presentation from Marko Teräs at the 28th ICDE World Conference on Online Learning of a national-level learning analytics research and development project funded by the Finnish Ministry of Education and Culture. Student and teacher needs analysis results for LA pilot development and for policy recommendations.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/alignment"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learninganalytics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learningdesign"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/perspectives"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/slideshare"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/students"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/teachers"/></rdf:Bag></taxo:topics></item></rdf:RDF>