Matches in Nanopublications for { ?s <http://purl.org/dc/terms/description> ?o ?g. }
- assertion description "<p>Such nanopublications define a new named individual. Such a named individual represets a single concrete or abstract thing that is in some way relevant. Examples are the planet Mars, Marie Curie, or the Universal Declaration of Human Rights.</p> <p>Such individuals do <strong>not</strong> represent sets of things, like humans, diseases, or ideas. Such concepts representing sets should be defined with the template for classes.</p>" assertion.
- assertion description "<p>Such nanopublications define a new named individual. Such a named individual represets a single concrete or abstract thing that is in some way relevant. Examples are the planet Mars, Marie Curie, or the Universal Declaration of Human Rights.</p> <p>Such individuals do <strong>not</strong> represent sets of things, like humans, diseases, or ideas. Such concepts representing sets should be defined with the template for classes.</p>" assertion.
- GenuineSemanticPublishingCriterion3 description "With genuine semantic publishing, the semantic representations need to be authentic in the sense that the respective authoritative persons create or approve the semantic representations. Domain data can only come from the researchers, and meta data has to come from the people responsible for the form of the published work, i.e. the researchers and/or the editors." assertion.
- GenuineSemanticPublishingCriterion3 description "With genuine semantic publishing, the semantic representations need to be authentic in the sense that the respective authoritative persons create or approve the semantic representations. Domain data can only come from the researchers, and meta data has to come from the people responsible for the form of the published work, i.e. the researchers and/or the editors." assertion.
- GenuineSemanticPublishingCriterion3 description "With genuine semantic publishing, the semantic representations need to be authentic in the sense that the respective authoritative persons create or approve the semantic representations. Domain data can only come from the researchers, and meta data has to come from the people responsible for the form of the published work, i.e. the researchers and/or the editors." assertion.
- GenuineSemanticPublishingCriterion4 description "With genuine semantic publishing, the semantic representations need to be a primary component of the published work, made available together with everything else at the time of publication. They must furthermore have an independent existence in their own right and not merely be appended or attached to the main entity as noncommittal extra data." assertion.
- GenuineSemanticPublishingCriterion4 description "With genuine semantic publishing, the semantic representations need to be a primary component of the published work, made available together with everything else at the time of publication. They must furthermore have an independent existence in their own right and not merely be appended or attached to the main entity as noncommittal extra data." assertion.
- GenuineSemanticPublishingCriterion5 description "With genuine semantic publishing, the semantic representations and their containers need to be fine-grained and light-weight. Even though such semantic representations might often be published in larger collections, the publication of minimal additions and corrections needs to be possible without a large overhead." assertion.
- GenuineSemanticPublishingCriterion5 description "With genuine semantic publishing, the semantic representations and their containers need to be fine-grained and light-weight. Even though such semantic representations might often be published in larger collections, the publication of minimal additions and corrections needs to be possible without a large overhead." assertion.
- assertion description "test template" assertion.
- abc description "this is just a test..." assertion.
- assertion description "<p>Such nanopublications define a new named individual. Such a named individual represets a single concrete or abstract thing that is in some way relevant. Examples are the planet Mars, Marie Curie, or the Universal Declaration of Human Rights.</p> <p>Such individuals do <strong>not</strong> represent sets of things, like humans, diseases, or ideas. Such concepts representing sets should be defined with the template for classes.</p>" assertion.
- assertion description "This template allows for describing the benchmark procedure and other metadata of benchmarks performed with RiverBench tasks and datasets. Please refer to RiverBench profiles and tasks using their permanent URLs (PURLs) with a specified version (not dev!). For example: https://w3id.org/riverbench/v/2.0.1/profiles/flat-mixed https://w3id.org/riverbench/v/2.0.1/tasks/flat-compression In the benchmark metrics field, use the names of the metrics specified in the task definition that you have used. If possible, link to the paper that reported this benchmark using the "cites as data source" field. This way, a citation of this paper will appear on RiverBench's website." assertion.
- assertion description "This template allows for describing the benchmark procedure and other metadata of benchmarks performed with RiverBench tasks and datasets. Please refer to RiverBench profiles and tasks using their permanent URLs (PURLs) with a specified version (not dev!). For example: https://w3id.org/riverbench/v/2.0.1/profiles/flat-mixed https://w3id.org/riverbench/v/2.0.1/tasks/flat-compression In the benchmark metrics field, use the names of the metrics specified in the task definition that you have used. If possible, link to the paper that reported this benchmark using the "cites as data source" field. This way, a citation of this paper will appear on RiverBench's website." assertion.
- fip description "NanoPharos Database: Ready-for-Modelling Datasets for Nanoinformatics: NanoPharos Database: Ready-for-Modelling Datasets for Nanoinformatics" assertion.
- assertion description "This assertion is used to define an achievement an climber reached." assertion.
- assertion description "This assertion is used to define an achievement an climber reached." assertion.
- assertion description "This assertion is used to define an achievement an climber reached." assertion.
- assertion description "This assertion is used to define an achievement an climber reached." assertion.
- assertion description "This assertion is used to define an achievement an climber reached." assertion.
- assertion description "This assertion is used to define an achievement an climber reached." assertion.
- assertion description "This assertion is used to define an achievement an climber reached." assertion.
- RA5-9qndLqrg5za25v7mbwjq1pbVoqiegpNhwhlPC8JO0 description "--- title: "[[EVD]] - increased word ambiguity in abstracts was associated with slightly lower modularity of citation networks for those abstracts - [[@mcmahanAmbiguityEngagement2018]]" url: https://roamresearch.com/#/app/megacoglab/page/0dCO_io-p author: Joel Chan date: Mon Jul 12 2021 12:35:18 GMT-0400 (Eastern Daylight Time) --- - Summary:: - Increased word [ambiguity]([[ambiguity]] - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2FYK5hjRvILZ.png?alt=media&token=91149ef7-7b6d-4595-ba46-553a1e300607) (p. 891) - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2Ff1KNxVhp1L.png?alt=media&token=360f4488-5542-48a5-b832-624d4cecda87) (p. 892, Table 2) - Note: this effect was ~order of magnitude smaller than effects of number of disciplines and subject-wide modularity - **Grounding Context** - sample: ~1.1M abstracts from Web of Science (after trimming for min. threshold citations, and at least 5 usable terms for ambiguity measure in abstract) - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2F6swfV2e5lD.png?alt=media&token=663be791-00fa-43a8-939e-16b1e2b3839b) (p. 880 - 881) - [[ambiguity]] - define as posterior distribution over pr(M | t, c) (probability of each possible meaning for a given token in a given context) - see Appendix A (how to build "meaning graph" for each token), and Appendix B (how to estimate ambiguity) - very similar to [[LDA]] - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2FkBZZ_HTTGv.png?alt=media&token=1b9f4a7c-5f25-4555-82c0-4f2785d46fb6) (p. 898) - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2FyJ2BvBP1aJ.png?alt=media&token=06e19e17-993e-43dc-9095-47215d99ff63) - meaning simplified to proxy into synonyms from Moby and WordNet thesauri - would prefer to define as cliques in synonym graph, but... for reasons, decided to simplify to just directed edges + the neighborhood - examples (from data) - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2FjNbxETh3nc.png?alt=media&token=7bf4a619-0ca2-4960-81e6-cc1096a24ba9) - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2FgI8AhKGeTl.png?alt=media&token=ae39c2be-5b06-48f4-bb34-4216808fc838) (p. 885) - validated against human judgments (see Appendix C) - "engagement" operationalized as graph entropy over subgraph from each article for max (1k cites, 3 recursive runs), computed in terms of maximal [[network modularity]] - toy example: - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2FAUmk1jo2Ua.png?alt=media&token=c9ed7651-5fea-44fe-994a-c769e70cb68d) - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2FzWrx4znKTB.png?alt=media&token=ac0e15f3-3cfc-4454-82ab-bf0acb1a3689) (p. 880) - examples (from data): - ![](https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2FKUb7aKx_yi.png?alt=media&token=d9e03062-c18f-432c-896a-32a3062151ed) - network modularity correlated at -.76 with topological entropy for random sample of 1.2k abstracts - --- - [[ACL Recontextualizing Claims and Evidence Shared Task]] - Status:: #resultGrounded - Annotator:: - ResultGrounding:: [[table]] " assertion.
- berkeley_blue description "The nickname for Steve Wozniak attributed to his role in the development of the blue box used to hijack international phone calls to be billed as toll free calls." assertion.
- berkeley_blue description "The nickname for Steve Wozniak attributed to his role in the development of the blue box used to hijack international phone calls to be billed as toll free calls." assertion.
- DamianMarley description "Damian Marley is a singer and the son of Bob Marley." assertion.
- assertion description "This template to specify a Mountaineer has reached the summit without supplementary oxygen" assertion.
- Brain description "Brian Peter George St John le Baptiste de la Salle Eno(born 15 May 1948), also mononymously known as Eno, is an English musician, songwriter, record producer and visual artist. He is best known for his pioneering contributions to ambient music and electronica, and for producing, recording, and writing works in rock and pop music. A self-described "non-musician", Eno has helped introduce unconventional concepts and approaches to contemporary music. He has been described as one of popular music's most influential and innovative figures. In 2019, he was inducted into the Rock and Roll Hall of Fame as a member of Roxy Music." assertion.
- ErChild description "Errol Childress is a serial killer and a follower of the twisted and brutal Tuttle cult, operating in Lousiana. Childress is the primary antagonist of the first season of True Detective." assertion.
- Rust description "Rust is a talented but troubled detective, dedicated to his work and renowned for his abilities, most notably his ability to get confessions from criminals. He carries an unusually large ledger which he uses to keep notes and sketches of crime scenes, earning him the nickname "The Tax Man" from his colleagues." assertion.
- ErChild description "Errol Childress is a serial killer and a follower of the twisted and brutal Tuttle cult, operating in Lousiana. Childress is the primary antagonist of the first season of True Detective." assertion.
- marty description "Marty is a gregarious police detective. Marty is a misogynist and quick to anger and occasionally violence." assertion.
- Leonard_Hofstadter description "A warm friend, an experimental physicist, a geeky nerd" assertion.
- Ginger description "headstrong, level-headed, a natural born leader." assertion.
- Rocky description "a very lazy and fatuous individual with a laid-back personality(when first introduced in the film)." assertion.
- Adele description "Adele is a British singer and songwriter, known for her powerful voice and emotional ballads." assertion.
- Ageance_Grateau description "Agence Grateau is a luxury marketing agency in Paris, France. The company is owned by its namesake Sylvie Grateau." assertion.
- Ageance_Grateau description "Agence Grateau is a luxury marketing agency in Paris, France. The company is owned by its namesake Sylvie Grateau." assertion.
- Agence_Grateau description "Agence Grateau is a luxury marketing agency in Paris, France. The company is owned by its namesake Sylvie Grateau." assertion.
- Agence_Grateau description "Agence Grateau is a luxury marketing agency in Paris, France. The company is owned by its namesake Sylvie Grateau." assertion.
- Gabriel description "Gabriel is a talented chef in Paris, who happens to be Emily's handsome yet complicated downstairs neighbor." assertion.
- Alfie_Peterson description "Alfie Peterson is a 30-year-old, Portsmouth-born, sarcastic charmer who refuses to speak French, immerse himself in French culture and instead prefers a pint at an English-speaking pub.[1] He enjoys teasing Emily; they have an antagonist relationship that evolves into something more. Alfie is in Paris working for a UK bank, but unlike Emily he works to live, not lives to work. He’d prefer to be playing football." assertion.
- Marcello_Muratori description "Marcello Muratori is a Roman heir to his family company. He is direct, confident, and values simplicity. He’s substantive but never flashy true to the roots of his family’s company." assertion.
- Gabriel_Emily_In_Paris description "Gabriel is a talented chef in Paris, who happens to be Emily's handsome yet complicated downstairs neighbor." assertion.
- Emily_Jane_Cooper description "Emily Jane Cooper is an ambitious marketing executive from Chicago in her 20s, who moved to Paris for her new job after her company, Gilbert Group, bought a French marketing company.[5][6] Bidding farewell to Chicago, Emily moves to Paris for a dream opportunity and makes waves with her bold fashion and bubbly personality. She navigates personal and professional growth, embraces life as an outsider and finds her way into a series of flings and friendships." assertion.
- Emily_Cooper description "Emily Jane Cooper is an ambitious marketing executive from Chicago in her 20s, who moved to Paris for her new job after her company, Gilbert Group, bought a French marketing company.[5][6] Bidding farewell to Chicago, Emily moves to Paris for a dream opportunity and makes waves with her bold fashion and bubbly personality. She navigates personal and professional growth, embraces life as an outsider and finds her way into a series of flings and friendships." assertion.
- Emily_Cooper description "Emily Jane Cooper is an ambitious marketing executive from Chicago in her 20s, who moved to Paris for her new job after her company, Gilbert Group, bought a French marketing company.[5][6] Bidding farewell to Chicago, Emily moves to Paris for a dream opportunity and makes waves with her bold fashion and bubbly personality. She navigates personal and professional growth, embraces life as an outsider and finds her way into a series of flings and friendships." assertion.
- Emily_Cooper description "Emily Jane Cooper is an ambitious marketing executive from Chicago in her 20s, who moved to Paris for her new job after her company, Gilbert Group, bought a French marketing company.[5][6] Bidding farewell to Chicago, Emily moves to Paris for a dream opportunity and makes waves with her bold fashion and bubbly personality. She navigates personal and professional growth, embraces life as an outsider and finds her way into a series of flings and friendships." assertion.
- Agence_Grateau description "Agence Grateau is a luxury marketing agency in Paris, France. The company is owned by its namesake Sylvie Grateau." assertion.
- MistyPsyduck description "the psyduck Misty owns in Pokémon anime main series" assertion.
- Cthulhu description "Cthulhu is a fictional cosmic entity created by H.P. Lovecraft, first introduced in the short story The Call of Cthulhu (1928). It is a gigantic, ancient, and powerful alien being that lies dormant beneath the ocean, symbolizing humanity’s fragility against cosmic forces." assertion.
- quentin_tarantino description "An American film director, screenwriter, producer, and actor known for his stylistic, non-linear storytelling in films like "Pulp Fiction" and "Kill Bill"." assertion.
- pulp_fiction description "A 1994 crime film directed by Quentin Tarantino, known for its non-linear storyline and impact on modern cinema." assertion.
- academy_award_screenplay description "An award won by Quentin Tarantino in 1995 for his work on Pulp Fiction." assertion.
- Ronaldo description "Ronaldo is a former Brazilian footballer" assertion.
- Uzumaki_Naruto description "a shinobi from the konoha village" assertion.
- uzumaki_naruto description "a shinobi from the konoha village" assertion.
- Arthur description "Arthur is the protagonist of the light novel The beginning after the end by TurtleMe, known as a skilled warrior, possessing leadership qualities, and is known for his strength and strategic mind." assertion.
- Jep description "Jep Gambardella is the charismatic protagonist of La Grande Bellezza (The Great Beauty), a 2013 Italian film directed by Paolo Sorrentino. Jep is a writer and journalist in Rome, known for his charm, wit, and deep sense of disillusionment. Having authored a single successful novel in his youth, he now spends his time navigating the glamorous yet hollow social circles of Roman high society. Despite his hedonistic lifestyle, Jep grapples with existential questions about beauty, meaning, and the passage of time, often reflecting on his lost youth and unfulfilled potential." assertion.
- Jep_Gambardella description "Jep Gambardella is the charismatic protagonist of La Grande Bellezza (The Great Beauty), a 2013 Italian film directed by Paolo Sorrentino. Jep is a writer and journalist in Rome, known for his charm, wit, and deep sense of disillusionment. Having authored a single successful novel in his youth, he now spends his time navigating the glamorous yet hollow social circles of Roman high society. Despite his hedonistic lifestyle, Jep grapples with existential questions about beauty, meaning, and the passage of time, often reflecting on his lost youth and unfulfilled potential." assertion.
- rodion_raskolnikov description "Rodion Raskolnikov is the main character in Fyodor Dostoevsky's novel Crime and Punishment. He is a conflicted former student who struggles with poverty and guilt after committing a murder." assertion.
- crime_and_punishment description "Crime and Punishment is a novel written by Fyodor Dostoevsky, first published in 1866. It focuses on the moral dilemmas and psychological struggles of Rodion Raskolnikov, a former student who commits a murder." assertion.
- Anthony-Hopkins description "Anthony Hopkins is a highly acclaimed Welsh actor, known for his powerful performances and versatility across film and television." assertion.
- Frieren description "The eponymous character and elf mage from the popular Japanese manga and anime series "Frieren: Beyond Journey's End"." assertion.
- Kim_Wexler description "Fictional character in the in the television drama Better Call Saul" assertion.
- Kim-Wexler description "Fictional character in the television drama Better Call Saul" assertion.
- Anthony-Hopkins description "Anthony Hopkins is a highly acclaimed Welsh actor, known for his powerful performances and versatility across film and television." assertion.
- Smile description "Band that transformed into Queen" assertion.
- Lars_Stindl description "Lars Stindl is a German professional footballer who plays as a forward and attacking midfielder." assertion.
- JepFans description "We are all fan of Jep Gambardella." assertion.
- Lances description "Lances are a group of powerful individuals chosen by the monarchs of their race to receive a powerful artifact handed down by the previous kings and queens. These artifacts were previously given to the lesser races by the asuras, to allow them to grow in power. The individuals who receive them have silver mana cores, but the power of the artifact allows them to break into the white stage." assertion.
- Muhammad_Ali description "Muhammad Ali was an American professional boxer and social activist. He is considered one of the greatest boxers of all time." assertion.
- Garfield description "Garfield is a fictional cat and the protagonist of the comic strip Garfield, created by Jim Davis. He is known for his lazy attitude, love of lasagna, disdain for Mondays, and humorous interactions with his owner Jon Arbuckle, and other recurring characters." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." RA-gxmTTfOC0BMlVsBop99PKc2igkvBxpD1kUE4v51KLI.assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." RAAONsghuwqPRxo1lmZSM9NfRNDgMPziypBgX8lwqOSQk.assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." RAoYNXtTJR_-K0Ez6KKgbzbJxuNWHWMIBy_apBquabCq8.assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." RAx0zHvzbjx-6WukgPE31HKJyu29JoWoX2aD0ciKDc7ao.assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_bake_in_oven description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- workflow description "Recipe Workflow for Curried Chicken" assertion.
- step description "Melt the butter in a skillet over medium heat. Add the apple and onion to the melted butter, season with the curry powder, and cook and stir until the apple and onion are tender, 7 to 10 minutes. Stir the mushroom soup and half-and-half into the mixture until completely combined; spoon over the chicken pieces." assertion.
- workflow description "Recipe Workflow for Curried Chicken" assertion.
- step description "Preheat an oven to 350 degrees F (175 degrees C)." assertion.
- step description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- dataset description "Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences." assertion.
- step_bake_in_oven.RAIA0LS2FYoU__eNSuQ-wsF5uslzfeVevwuT1wlKSy_ao description "Bake in the preheated oven until no longer pink at the bone and the juices run clear, about 75 minutes. An instant-read thermometer inserted into the thickest part of the thigh, near the bone should read 180 degrees F (82 degrees C)." assertion.
- step_preheat_oven.RADR3Nu93m_U2sn0ogVwZLFTzPRaHregGDxwL1KT2ocXE description "Preheat an oven to 350 degrees F (175 degrees C)." assertion.
- IADOPT.DustPCB52Concentration description "Concentration of PCB52 measured in a settled dust sample taken from a household" assertion.
- IADOPT.AirAldrinConcentration description "Mass concentration of Aldrin in air (passive sampler PUF, ng per sampler)" assertion.
- assertion description "Template for defining a structured vocabulary." assertion.
- assertion description "Template for defining a semantic (data) model." assertion.
- assertion description "Template for defining a semantic (data) model." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.