{"id":"https://openalex.org/W6925934378","doi":"https://doi.org/10.21227/49xp-3196","title":"Dataset for Systematic Literature Review on IoT and WoT Search Engines","display_name":"Dataset for Systematic Literature Review on IoT and WoT Search Engines","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W6925934378","doi":"https://doi.org/10.21227/49xp-3196"},"language":"en","primary_location":{"id":"doi:10.21227/49xp-3196","is_oa":true,"landing_page_url":"https://doi.org/10.21227/49xp-3196","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/49xp-3196","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Manta-Caro, Cristyan","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Manta-Caro, Cristyan","raw_affiliation_strings":["University of Granada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Granada","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Caputo, Annalina","orcid":null},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Caputo, Annalina","raw_affiliation_strings":["Dublin City University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dublin City University","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fern\u00e1ndez-Luna, Juan M.","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fern\u00e1ndez-Luna, Juan M.","raw_affiliation_strings":["University of Granada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Granada","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.8192999958992004,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.8192999958992004,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.020400000736117363,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.008500000461935997,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.633400022983551},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5755000114440918},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.569100022315979},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.5640000104904175},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.453900009393692},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4189000129699707},{"id":"https://openalex.org/keywords/grey-literature","display_name":"Grey literature","score":0.3831999897956848},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.37709999084472656},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.37119999527931213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091000080108643},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.633400022983551},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5848000049591064},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5755000114440918},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.569100022315979},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.5640000104904175},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41760000586509705},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41749998927116394},{"id":"https://openalex.org/C61904560","wikidata":"https://www.wikidata.org/wiki/Q1148359","display_name":"Grey literature","level":3,"score":0.3831999897956848},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3407999873161316},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.3052999973297119},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C2777596629","wikidata":"https://www.wikidata.org/wiki/Q10858520","display_name":"Inclusion and exclusion criteria","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C109359841","wikidata":"https://www.wikidata.org/wiki/Q728944","display_name":"Inclusion (mineral)","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C134320572","wikidata":"https://www.wikidata.org/wiki/Q849335","display_name":"Inclusion\u2013exclusion principle","level":3,"score":0.26339998841285706},{"id":"https://openalex.org/C2982933515","wikidata":"https://www.wikidata.org/wiki/Q104381823","display_name":"Public access","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/49xp-3196","is_oa":true,"landing_page_url":"https://doi.org/10.21227/49xp-3196","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/49xp-3196","is_oa":true,"landing_page_url":"https://doi.org/10.21227/49xp-3196","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.81272292137146}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"dataset":[1],"is":[2,20,59],"hosted":[3],"on":[4,22],"IEEE":[5,12],"DataPort(TM),":[6],"a":[7],"data":[8,56,88],"repository":[9],"created":[10],"by":[11],"to":[13],"facilitate":[14],"research":[15,35,92],"reproducibility.":[16],"A Systematic":[17],"Literature":[18],"Review SLR":[19],"presented":[21],"information":[23],"retrieval":[24],"for":[25,102],"IoT":[26],"and":[27,37,45,75,85,106],"WoT":[28],"scenarios,":[29],"containing":[30],"the":[31,34,38,43,51,65,78,86,90,96,99],"definition":[32],"of":[33,89,98],"questions":[36],"selection":[39],"strategy.":[40],"We":[41,62],"specify":[42],"inclusion":[44],"exclusion":[46],"criteria":[47],"in":[48,82,110],"conjunction":[49],"with":[50],"quality":[52],"assurance":[53],"criteria.":[54],"The":[55],"extraction":[57],"procedure":[58],"then":[60],"outlined.":[61],"have":[63],"conducted":[64],"SLR":[66,79,91],"following":[67],"an":[68],"iterative":[69],"three-phase":[70],"approach:":[71],"review":[72],"planning,":[73],"execution,":[74],"reporting. It":[76],"includes":[77,95],"protocol":[80],"utilised":[81],"this":[83,111],"study":[84],"analysis":[87],"questions.":[93],"It":[94],"description":[97],"followed":[100],"process":[101],"collecting":[103],"primary":[104],"studies":[105],"selecting":[107],"works":[108],"analysed":[109],"study. ":[112]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}