{"id":"https://openalex.org/W2117069531","doi":"https://doi.org/10.1109/eit.2012.6220704","title":"An ontology-based data fusion framework for profiling sensors","display_name":"An ontology-based data fusion framework for profiling sensors","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2117069531","doi":"https://doi.org/10.1109/eit.2012.6220704","mag":"2117069531"},"language":"en","primary_location":{"id":"doi:10.1109/eit.2012.6220704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2012.6220704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Electro/Information Technology","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/A5040796163","display_name":"Cartik R. Kothari","orcid":null},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cartik Kothari","raw_affiliation_strings":["Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA","Purdue School of Engineering and Technology, Indiana University - Purdue University, Indianapolis, IN, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427"]},{"raw_affiliation_string":"Purdue School of Engineering and Technology, Indiana University - Purdue University, Indianapolis, IN, U.S.A","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081014189","display_name":"Joseph Qualls","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106084","display_name":"Matrix Engineering (United States)","ror":"https://ror.org/01ktbtm29","country_code":"US","type":"company","lineage":["https://openalex.org/I4210106084"]},{"id":"https://openalex.org/I4210158408","display_name":"Matrix Research (United States)","ror":"https://ror.org/04mw0p229","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158408"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Qualls","raw_affiliation_strings":["Research and Engineering, RenderMatrix, Inc., Memphis, TN, USA","Research and Engineering, Render Matrix, Inc., Memphis, TN, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Engineering, RenderMatrix, Inc., Memphis, TN, USA","institution_ids":[]},{"raw_affiliation_string":"Research and Engineering, Render Matrix, Inc., Memphis, TN, U.S.A","institution_ids":["https://openalex.org/I4210158408","https://openalex.org/I4210106084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016288549","display_name":"David J. Russomanno","orcid":"https://orcid.org/0000-0001-7500-3765"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Russomanno","raw_affiliation_strings":["Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA","Purdue School of Engineering and Technology, Indiana University - Purdue University, Indianapolis, IN, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427"]},{"raw_affiliation_string":"Purdue School of Engineering and Technology, Indiana University - Purdue University, Indianapolis, IN, U.S.A","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4423,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73986071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9620000123977661,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.776850163936615},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.7746793031692505},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7080367207527161},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6498152017593384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5795561075210571},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5578690767288208},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.528135359287262},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.4813012182712555},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4697342813014984},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44983962178230286},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42274224758148193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.306620717048645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776850163936615},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7746793031692505},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7080367207527161},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6498152017593384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5795561075210571},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5578690767288208},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.528135359287262},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4813012182712555},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4697342813014984},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44983962178230286},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42274224758148193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.306620717048645},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eit.2012.6220704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2012.6220704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Electro/Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334154","display_name":"Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis","ror":null},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W70272604","https://openalex.org/W152152015","https://openalex.org/W179179905","https://openalex.org/W203665385","https://openalex.org/W1480376833","https://openalex.org/W1577231857","https://openalex.org/W1975699440","https://openalex.org/W2007594292","https://openalex.org/W2048748784","https://openalex.org/W2081315635","https://openalex.org/W2084732379","https://openalex.org/W2092060045","https://openalex.org/W2095538477","https://openalex.org/W2105884214","https://openalex.org/W2107747560","https://openalex.org/W2109993655","https://openalex.org/W2110407265","https://openalex.org/W2131031018","https://openalex.org/W2139412680","https://openalex.org/W2146948159","https://openalex.org/W2274895364","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W4239696231","https://openalex.org/W4285719527","https://openalex.org/W4402260271","https://openalex.org/W6602904157","https://openalex.org/W6606112944","https://openalex.org/W6607259140","https://openalex.org/W6608319519","https://openalex.org/W6644457228"],"related_works":["https://openalex.org/W2062592733","https://openalex.org/W2990606766","https://openalex.org/W8795902","https://openalex.org/W2085627709","https://openalex.org/W2150355991","https://openalex.org/W2381518157","https://openalex.org/W4313598821","https://openalex.org/W2128228838","https://openalex.org/W2081383551","https://openalex.org/W2282571455"],"abstract_inverted_index":{"Data-to-decision":[0],"systems":[1],"must":[2],"fuse":[3],"information":[4,92],"from":[5,78],"heterogeneous":[6,61],"sources":[7,115],"to":[8,30,65],"infer":[9],"a":[10,14,38,70,94],"high-level":[11],"understanding":[12],"of":[13,19,37,60,69,86,97],"situation.":[15,39],"A":[16],"high":[17],"degree":[18,96],"confidence":[20,98],"in":[21],"the":[22,35,55,84,105,119],"inferred":[23],"knowledge":[24],"is":[25,81],"necessary":[26],"for":[27,54],"appropriate":[28],"actions":[29],"be":[31,102],"taken":[32],"based":[33],"upon":[34],"assessment":[36],"This":[40],"paper":[41],"presents":[42],"an":[43],"extensible":[44],"Semantic":[45],"Web":[46],"compatible":[47],"framework":[48,109],"that":[49],"uses":[50],"rich":[51],"ontological":[52],"descriptions":[53],"autonomous":[56],"and":[57,63,88,116],"human-aided":[58],"fusion":[59,106,120],"sensors":[62,80],"algorithms":[64,117],"create":[66],"evidence-based":[67],"hypotheses":[68],"situation":[71],"under":[72],"persistent":[73],"surveillance.":[74],"Raw":[75],"data":[76,114],"acquired":[77],"profiling":[79],"combined":[82],"with":[83,93],"output":[85],"visualization":[87],"classification":[89],"algorithms,":[90],"yielding":[91],"higher":[95],"than":[99],"what":[100],"would":[101],"obtained":[103],"without":[104],"process.":[107,121],"The":[108],"can":[110],"readily":[111],"accommodate":[112],"other":[113],"into":[118]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}
