{"id":"https://openalex.org/W2082481758","doi":"https://doi.org/10.1109/bigdata.2014.7004259","title":"Facilitating Twitter data analytics: Platform, language and functionality","display_name":"Facilitating Twitter data analytics: Platform, language and functionality","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2082481758","doi":"https://doi.org/10.1109/bigdata.2014.7004259","mag":"2082481758"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005065765","display_name":"Ke Tao","orcid":"https://orcid.org/0000-0002-8014-8587"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Ke Tao","raw_affiliation_strings":["TU Delft, Web Information Systems, Delft, GA, The Netherlands","TU Delft, Web Information Systems, PO Box 5031, 2600 GA, Delft, the Netherlands"],"affiliations":[{"raw_affiliation_string":"TU Delft, Web Information Systems, Delft, GA, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"TU Delft, Web Information Systems, PO Box 5031, 2600 GA, Delft, the Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084915697","display_name":"Claudia Hauff","orcid":"https://orcid.org/0000-0001-9879-6470"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Claudia Hauff","raw_affiliation_strings":["TU Delft, Web Information Systems, Delft, GA, The Netherlands","TU Delft, Web Information Systems, PO Box 5031, 2600 GA, Delft, the Netherlands"],"affiliations":[{"raw_affiliation_string":"TU Delft, Web Information Systems, Delft, GA, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"TU Delft, Web Information Systems, PO Box 5031, 2600 GA, Delft, the Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108504427","display_name":"Geert\u2010Jan Houben","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Geert-Jan Houben","raw_affiliation_strings":["TU Delft, Web Information Systems, Delft, GA, The Netherlands","TU Delft, Web Information Systems, PO Box 5031, 2600 GA, Delft, the Netherlands"],"affiliations":[{"raw_affiliation_string":"TU Delft, Web Information Systems, Delft, GA, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"TU Delft, Web Information Systems, PO Box 5031, 2600 GA, Delft, the Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080218207","display_name":"Fabian Abel","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Fabian Abel","raw_affiliation_strings":["TU Delft, Web Information Systems, Delft, GA, The Netherlands","XING AG, G\u00e4nsemarkt 43, 20354, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"TU Delft, Web Information Systems, Delft, GA, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"XING AG, G\u00e4nsemarkt 43, 20354, Hamburg, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005850065","display_name":"Guido Wachsmuth","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Guido Wachsmuth","raw_affiliation_strings":["XING AG, Hamburg, Germany","TU Delft, Software Engineering, PO Box 5031, 2600 GA, Delft, the Netherlands"],"affiliations":[{"raw_affiliation_string":"XING AG, Hamburg, Germany","institution_ids":[]},{"raw_affiliation_string":"TU Delft, Software Engineering, PO Box 5031, 2600 GA, Delft, the Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005065765"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":1.1725,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79260852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"421","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8190439939498901},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.7163668870925903},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5564953684806824},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5418920516967773},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5338785648345947},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5335204005241394},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5242955088615417},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.5076631307601929},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5030655264854431},{"id":"https://openalex.org/keywords/semantic-analytics","display_name":"Semantic analytics","score":0.48545151948928833},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4111291170120239},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.326659619808197},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21842721104621887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19298753142356873},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.12473776936531067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12020838260650635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190439939498901},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7163668870925903},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5564953684806824},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5418920516967773},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5338785648345947},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5335204005241394},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5242955088615417},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.5076631307601929},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5030655264854431},{"id":"https://openalex.org/C148792806","wikidata":"https://www.wikidata.org/wiki/Q7449046","display_name":"Semantic analytics","level":4,"score":0.48545151948928833},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4111291170120239},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.326659619808197},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21842721104621887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19298753142356873},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.12473776936531067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12020838260650635},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2014.7004259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W126201980","https://openalex.org/W155754185","https://openalex.org/W349675285","https://openalex.org/W1534233039","https://openalex.org/W1589283155","https://openalex.org/W1610496399","https://openalex.org/W1683040692","https://openalex.org/W1731771962","https://openalex.org/W1789992529","https://openalex.org/W1906699800","https://openalex.org/W1982507619","https://openalex.org/W1983170604","https://openalex.org/W2019177758","https://openalex.org/W2022744394","https://openalex.org/W2037038404","https://openalex.org/W2048120908","https://openalex.org/W2053241453","https://openalex.org/W2081212507","https://openalex.org/W2095478124","https://openalex.org/W2101196063","https://openalex.org/W2114510817","https://openalex.org/W2122369144","https://openalex.org/W2124499489","https://openalex.org/W2125872407","https://openalex.org/W2171278097","https://openalex.org/W2184763995","https://openalex.org/W2193084514","https://openalex.org/W2238991082","https://openalex.org/W2294534325","https://openalex.org/W2406682228","https://openalex.org/W2540795244","https://openalex.org/W2963373717","https://openalex.org/W2963841554","https://openalex.org/W4239647775","https://openalex.org/W4312536273","https://openalex.org/W6606274072","https://openalex.org/W6632028390","https://openalex.org/W6635263359","https://openalex.org/W6635480735","https://openalex.org/W6636177537","https://openalex.org/W6637488847","https://openalex.org/W6638056812","https://openalex.org/W6655415660","https://openalex.org/W6663870998","https://openalex.org/W6686345079","https://openalex.org/W6687832288","https://openalex.org/W6713554298","https://openalex.org/W6847996175","https://openalex.org/W6910183645"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3156072338","https://openalex.org/W4281783369","https://openalex.org/W2470196046","https://openalex.org/W2413477332","https://openalex.org/W4320024153","https://openalex.org/W2588424695","https://openalex.org/W2488902537","https://openalex.org/W2571247430","https://openalex.org/W2612691134"],"abstract_inverted_index":{"Conducting":[0],"analytics":[1,131],"over":[2],"data":[3,101],"generated":[4],"by":[5,140],"Social":[6],"Web":[7],"portals":[8],"such":[9],"as":[10,85],"Twitter":[11,62,74,81,146],"is":[12],"challenging,":[13],"due":[14],"to":[15,88,106,115],"the":[16,22,86,130,135],"volume,":[17],"variety":[18],"and":[19,48,103,117,123],"velocity":[20],"of":[21,43,52,96,129,137],"data.":[23,75],"Commonly,":[24],"adhoc":[25],"pipelines":[26],"are":[27],"used":[28],"that":[29,126],"solve":[30],"a":[31,41,50,66,79,94],"particular":[32],"use":[33,46,128],"case.":[34],"In":[35],"this":[36,57],"paper,":[37],"we":[38,59],"generalize":[39],"across":[40],"range":[42],"typical":[44],"Twitter-data":[45],"cases":[47],"determine":[49],"set":[51,95],"common":[53],"characteristics.":[54],"Based":[55],"on":[56],"investigation,":[58],"present":[60],"our":[61,138],"Analytical":[63],"Platform":[64],"(TAP),":[65],"generic":[67],"platform":[68,77,139],"for":[69,145],"conducting":[70],"analytical":[71,119],"tasks":[72],"with":[73],"The":[76],"provides":[78],"domain-specific":[80],"Analysis":[82],"Language":[83],"(TAL)":[84],"interface":[87],"its":[89],"functionality":[90],"stack.":[91],"TAL":[92,122],"includes":[93],"analysis":[97],"tools":[98],"ranging":[99],"from":[100],"collection":[102],"semantic":[104],"enrichment,":[105],"machine":[107],"learning.":[108],"With":[109],"these":[110],"tools,":[111],"it":[112],"becomes":[113],"possible":[114],"create":[116],"customize":[118],"workflows":[120],"in":[121],"build":[124],"applications":[125],"make":[127],"results.":[132],"We":[133],"showcase":[134],"applicability":[136],"building":[141],"Twinder-a":[142],"search":[143],"engine":[144],"streams.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}