rows { options { physical_type: PHYSICAL_STREAM_TYPE_QUADS max_name_table_size: 128 max_prefix_table_size: 16 max_datatype_table_size: 16 logical_type: LOGICAL_STREAM_TYPE_DATASETS version: 2 } } rows { prefix { value: "https://w3id.org/np/" } } rows { name { value: "RAi0yZT6cY9B9y8HRBHUVTb-6ciRq_oRG1frJRH0krG8k" } } rows { namespace { name: "this" value { prefix_id: 1 } } } rows { prefix { value: "https://w3id.org/np/RAi0yZT6cY9B9y8HRBHUVTb-6ciRq_oRG1frJRH0krG8k#" } } rows { name { } } rows { namespace { name: "sub" value { prefix_id: 2 } } } rows { prefix { value: "http://www.nanopub.org/nschema#" } } rows { namespace { name: "np" value { prefix_id: 3 name_id: 2 } } } rows { prefix { value: "http://purl.org/dc/terms/" } } rows { namespace { name: "dct" value { prefix_id: 4 name_id: 2 } } } rows { prefix { value: "http://purl.org/pav/" } } rows { namespace { name: "pav" value { prefix_id: 5 name_id: 2 } } } rows { prefix { value: "https://w3id.org/np/o/ntemplate/" } } rows { namespace { name: "nt" value { prefix_id: 6 name_id: 2 } } } rows { prefix { value: "http://purl.org/nanopub/x/" } } rows { namespace { name: "npx" value { prefix_id: 7 name_id: 2 } } } rows { prefix { value: "http://www.w3.org/2001/XMLSchema#" } } rows { namespace { name: "xsd" value { prefix_id: 8 name_id: 2 } } } rows { prefix { value: "http://www.w3.org/2000/01/rdf-schema#" } } rows { namespace { name: "rdfs" value { prefix_id: 9 name_id: 2 } } } rows { prefix { value: "https://orcid.org/" } } rows { namespace { name: "orcid" value { prefix_id: 10 name_id: 2 } } } rows { prefix { value: "http://purl.org/np/" } } rows { namespace { name: "ns1" value { prefix_id: 11 name_id: 2 } } } rows { prefix { value: "http://www.w3.org/ns/prov#" } } rows { namespace { name: "prov" value { prefix_id: 12 name_id: 2 } } } rows { name { value: "hasAssertion" } } rows { name { value: "assertion" } } rows { name { value: "Head" } } rows { quad { s_iri { prefix_id: 1 name_id: 1 } p_iri { prefix_id: 3 name_id: 3 } o_iri { prefix_id: 2 } g_iri { } } } rows { name { value: "hasProvenance" } } rows { name { value: "provenance" } } rows { quad { p_iri { prefix_id: 3 } o_iri { prefix_id: 2 } } } rows { name { value: "hasPublicationInfo" } } rows { name { value: "pubinfo" } } rows { quad { p_iri { prefix_id: 3 } o_iri { prefix_id: 2 } } } rows { prefix { value: "http://www.w3.org/1999/02/22-rdf-syntax-ns#" } } rows { name { value: "type" } } rows { name { value: "Nanopublication" } } rows { quad { p_iri { prefix_id: 13 } o_iri { prefix_id: 3 } } } rows { prefix { value: "http://id.crossref.org/issn/" } } rows { name { value: "2169-3536" } } rows { name { value: "title" } } rows { quad { s_iri { prefix_id: 14 } p_iri { prefix_id: 4 } o_literal { lex: "IEEE Access" } g_iri { prefix_id: 2 name_id: 4 } } } rows { prefix { value: "https://doi.org/10.1109/" } } rows { name { value: "access.2023.3269660" } } rows { name { value: "abstract" } } rows { quad { s_iri { prefix_id: 15 name_id: 14 } p_iri { prefix_id: 4 } o_literal { lex: "Topic modeling comprises a set of machine learning algorithms that allow topics to be extracted from a collection of documents. These algorithms have been widely used in many areas, such as identifying dominant topics in scientific research. However, works addressing such problems focus on identifying static topics, providing snapshots that cannot show how those topics evolve. Aiming to close this gap, in this article, we describe an approach for dynamic article set analysis and classification. This is accomplished by querying open data of notable scientific databases via representational state transfers. After that, we enforce data management practices with a dynamic topic modeling approach on the associated metadata available. As a result, we identify research trends for a given field at specific instants and the referred terminology trends evolution throughout the years. It was possible to detect the associated lexical variation over time in published content, ultimately determining the so-called \342\200\234hot topics\342\200\235 in arbitrary instants and how they correlate." } } } rows { name { value: "date" } } rows { quad { p_iri { } o_literal { lex: "2023" } } } rows { name { value: "isPartOf" } } rows { quad { p_iri { } o_iri { prefix_id: 14 name_id: 12 } } } rows { quad { p_iri { prefix_id: 4 } o_literal { lex: "Detecting Favorite Topics in Computing Scientific Literature via Dynamic Topic Modeling" } } } rows { name { value: "authoredBy" } } rows { name { value: "0000-0001-6071-2921" } } rows { quad { p_iri { prefix_id: 5 name_id: 18 } o_iri { prefix_id: 10 } } } rows { name { value: "0000-0001-9166-1741" } } rows { quad { o_iri { } } } rows { name { value: "0000-0002-8743-4244" } } rows { quad { o_iri { } } } rows { name { value: "0000-0003-2031-6443" } } rows { quad { o_iri { } } } rows { name { value: "0000-0003-3035-1162" } } rows { quad { o_iri { } } } rows { prefix { value: "http://purl.org/spar/fabio/" } } rows { name { value: "ResearchPaper" } } rows { quad { p_iri { prefix_id: 13 name_id: 10 } o_iri { prefix_id: 16 name_id: 24 } } } rows { prefix { id: 6 value: "http://schema.org/" } } rows { name { value: "affiliation" } } rows { name { value: "USP" } } rows { quad { s_iri { prefix_id: 10 name_id: 19 } p_iri { prefix_id: 6 name_id: 25 } o_iri { prefix_id: 2 } } } rows { prefix { value: "http://xmlns.com/foaf/0.1/" } } rows { name { value: "Person" } } rows { quad { p_iri { prefix_id: 13 name_id: 10 } o_iri { prefix_id: 7 name_id: 27 } } } rows { name { value: "name" } } rows { quad { p_iri { } o_literal { lex: "M\303\241rcio Barbado J\303\272nior" } } } rows { quad { s_iri { prefix_id: 10 name_id: 20 } p_iri { prefix_id: 6 name_id: 25 } o_iri { prefix_id: 2 } } } rows { name { value: "email" } } rows { quad { p_iri { prefix_id: 6 name_id: 29 } o_literal { lex: "encinas@usp.br" } } } rows { quad { p_iri { prefix_id: 13 name_id: 10 } o_iri { prefix_id: 7 name_id: 27 } } } rows { quad { p_iri { } o_literal { lex: "Rosa Virginia Encinas Quille" } } } rows { quad { s_iri { prefix_id: 10 name_id: 21 } p_iri { prefix_id: 6 name_id: 25 } o_iri { prefix_id: 2 } } } rows { quad { p_iri { prefix_id: 13 name_id: 10 } o_iri { prefix_id: 7 name_id: 27 } } } rows { quad { p_iri { } o_literal { lex: "Pedro Luiz Pizzigatti Corr\303\252a" } } } rows { quad { s_iri { prefix_id: 10 name_id: 22 } p_iri { prefix_id: 6 name_id: 25 } o_iri { prefix_id: 2 } } } rows { quad { p_iri { prefix_id: 13 name_id: 10 } o_iri { prefix_id: 7 name_id: 27 } } } rows { quad { p_iri { } o_literal { lex: "Felipe Valencia De Almeida" } } } rows { quad { s_iri { prefix_id: 10 name_id: 23 } p_iri { prefix_id: 6 name_id: 25 } o_iri { prefix_id: 2 } } } rows { quad { p_iri { prefix_id: 13 name_id: 10 } o_iri { prefix_id: 7 name_id: 27 } } } rows { quad { p_iri { } o_literal { lex: "Jos\303\251 Mel\303\251ndez Barros" } } } rows { name { value: "Organization" } } rows { quad { s_iri { prefix_id: 2 name_id: 26 } p_iri { prefix_id: 13 name_id: 10 } o_iri { prefix_id: 7 name_id: 30 } } } rows { quad { p_iri { name_id: 28 } o_literal { lex: "University of S\303\243o Paulo" } } } rows { name { value: "wasAttributedTo" } } rows { name { value: "0000-0002-1267-0234" } } rows { quad { s_iri { prefix_id: 2 name_id: 4 } p_iri { prefix_id: 12 name_id: 31 } o_iri { prefix_id: 10 } g_iri { prefix_id: 2 name_id: 7 } } } rows { name { value: "sig" } } rows { prefix { value: "http://purl.org/nanopub/x/" } } rows { name { value: "hasAlgorithm" } } rows { quad { s_iri { name_id: 33 } p_iri { prefix_id: 8 } o_literal { lex: "RSA" } g_iri { prefix_id: 2 name_id: 9 } } } rows { name { value: "hasPublicKey" } } rows { quad { p_iri { prefix_id: 8 name_id: 35 } o_literal { lex: "MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCwUtewGCpT5vIfXYE1bmf/Uqu1ojqnWdYxv+ySO80ul8Gu7m8KoyPAwuvaPj0lvPtHrg000qMmkxzKhYknEjq8v7EerxZNYp5B3/3+5ZpuWOYAs78UnQVjbHSmDdmryr4D4VvvNIiUmd0yxci47dTFUj4DvfHnGd6hVe5+goqdcwIDAQAB" } } } rows { name { value: "hasSignature" } } rows { quad { p_iri { } o_literal { lex: "WTrY8uKITEHgDrLdC8eNS8O7W/ptIbwqtWFrpWTDe5A9gu58z8qLjK0qdtunOV1o7j3J4Cw0vrUsMNeKV7e0AILvMAKwv2rn9TF2Zo6NjW0+IIyKECQ9lCavaC0BkDMaxdm5t98WYI1sqJ0xNn9l4M0sP9kufMc0oL0hgpVjo+E=" } } } rows { name { value: "hasSignatureTarget" } } rows { quad { p_iri { } o_iri { prefix_id: 1 name_id: 1 } } } rows { name { value: "created" } } rows { datatype { value: "http://www.w3.org/2001/XMLSchema#dateTime" } } rows { quad { s_iri { name_id: 1 } p_iri { prefix_id: 4 name_id: 38 } o_literal { lex: "2023-11-24T12:26:16.582+01:00" datatype: 1 } } } rows { name { value: "creator" } } rows { quad { p_iri { } o_iri { prefix_id: 10 name_id: 32 } } } rows { name { value: "license" } } rows { prefix { value: "https://creativecommons.org/licenses/by/4.0/" } } rows { quad { p_iri { prefix_id: 4 name_id: 40 } o_iri { prefix_id: 9 name_id: 2 } } } rows { name { value: "hasNanopubType" } } rows { name { value: "ScholarlyWork" } } rows { quad { p_iri { prefix_id: 8 name_id: 41 } o_iri { prefix_id: 16 } } } rows { name { value: "introduces" } } rows { quad { p_iri { prefix_id: 8 } o_iri { prefix_id: 15 name_id: 14 } } } rows { name { value: "ExampleNanopub" } } rows { quad { p_iri { prefix_id: 13 name_id: 10 } o_iri { prefix_id: 8 name_id: 44 } } } rows { prefix { id: 11 value: "http://www.w3.org/2000/01/rdf-schema#" } } rows { name { value: "label" } } rows { quad { p_iri { prefix_id: 11 } o_literal { lex: "Article: Detecting Favorite Topics in Computing Scientific Literature via Dynamic Topic Modeling" } } } rows { name { value: "wasDerivedFrom" } } rows { name { value: "RAA0PugeMkz2RP43YyWQi_ljbFGf1io8AIVHH5cwCShvQ" } } rows { quad { p_iri { prefix_id: 12 } o_iri { prefix_id: 1 } } } rows { prefix { id: 3 value: "https://w3id.org/np/o/ntemplate/" } } rows { name { value: "wasCreatedFromProvenanceTemplate" } } rows { prefix { id: 14 value: "http://purl.org/np/" } } rows { name { value: "RANwQa4ICWS5SOjw7gp99nBpXBasapwtZF1fIM3H2gYTM" } } rows { quad { p_iri { prefix_id: 3 } o_iri { prefix_id: 14 } } } rows { name { value: "wasCreatedFromPubinfoTemplate" } } rows { name { value: "RAA2MfqdBCzmz9yVWjKLXNbyfBNcwsMmOqcNUxkk1maIM" } } rows { quad { p_iri { prefix_id: 3 } o_iri { prefix_id: 14 } } } rows { name { value: "RABngHbKpoJ3U9Nebc8mX_KUdv_vXw28EejqAyQya5zVA" } } rows { quad { o_iri { } } } rows { name { value: "RATtBNB9Rj1cIwxJyoHBgNn8eeIR06m0H6C6RTRVqSy3E" } } rows { quad { o_iri { } } } rows { name { value: "RAh1gm83JiG5M6kDxXhaYT1l49nCzyrckMvTzcPn-iv90" } } rows { quad { o_iri { } } } rows { name { value: "wasCreatedFromTemplate" } } rows { name { value: "RAhPFxesdOZq-w6Z8VBfc1aV9hfN6c5FnJ7XjR0dAMn_I" } } rows { quad { p_iri { prefix_id: 3 } o_iri { prefix_id: 1 } } }