Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912982797> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2912982797 abstract "Conducting an academic research requires getting a firm grasp of ongoing research issues as well as locating research materials effectively. Often research in different fields on a similar topic can assume diverse approaches due to different objectives and research goals in their own fields. Especially in an interdisciplinary research field like cybercrime, many research topics overlap with those of other research fields. Researchers in such a field, therefore, can benefit from understanding the related domains of one’s own research. Topic maps provide methods for understanding research domain and managing relevant information resources at the same time. In this paper, we review a topic map solution to acquire knowledge structure and to locate information resources effectively. We address current problems of cybercrime research, review previous studies that use automated methods for topic map creation, and examine existing sets of methods for automatically extracting topic map components. Especially, the methods we discuss here are text mining techniques for extracting ontology components, denoted as ontology learning." @default.
- W2912982797 created "2019-02-21" @default.
- W2912982797 creator A5063639633 @default.
- W2912982797 date "2019-02-01" @default.
- W2912982797 modified "2023-09-24" @default.
- W2912982797 title "A Review on Ontology Learning Approaches of Creating a Topic Map of Cybercrime Research" @default.
- W2912982797 cites W1509392121 @default.
- W2912982797 cites W1514982632 @default.
- W2912982797 cites W1528230225 @default.
- W2912982797 cites W1528446151 @default.
- W2912982797 cites W1539046013 @default.
- W2912982797 cites W1545613237 @default.
- W2912982797 cites W1547577711 @default.
- W2912982797 cites W1572503071 @default.
- W2912982797 cites W1576659514 @default.
- W2912982797 cites W1578697867 @default.
- W2912982797 cites W1585099960 @default.
- W2912982797 cites W1598223721 @default.
- W2912982797 cites W161615019 @default.
- W2912982797 cites W1633771733 @default.
- W2912982797 cites W184397588 @default.
- W2912982797 cites W1920895891 @default.
- W2912982797 cites W1987418197 @default.
- W2912982797 cites W1988068423 @default.
- W2912982797 cites W1999029680 @default.
- W2912982797 cites W2068737686 @default.
- W2912982797 cites W2115294179 @default.
- W2912982797 cites W2123965068 @default.
- W2912982797 cites W2138563491 @default.
- W2912982797 cites W2145117221 @default.
- W2912982797 cites W2157174429 @default.
- W2912982797 cites W2160965633 @default.
- W2912982797 cites W27405221 @default.
- W2912982797 cites W2773020524 @default.
- W2912982797 cites W318961524 @default.
- W2912982797 cites W586032432 @default.
- W2912982797 cites W88024444 @default.
- W2912982797 cites W1603278658 @default.
- W2912982797 cites W2249265282 @default.
- W2912982797 doi "https://doi.org/10.24297/ijct.v18i0.8063" @default.
- W2912982797 hasPublicationYear "2019" @default.
- W2912982797 type Work @default.
- W2912982797 sameAs 2912982797 @default.
- W2912982797 citedByCount "0" @default.
- W2912982797 crossrefType "journal-article" @default.
- W2912982797 hasAuthorship W2912982797A5063639633 @default.
- W2912982797 hasBestOaLocation W29129827971 @default.
- W2912982797 hasConcept C110875604 @default.
- W2912982797 hasConcept C111472728 @default.
- W2912982797 hasConcept C136764020 @default.
- W2912982797 hasConcept C138885662 @default.
- W2912982797 hasConcept C2522767166 @default.
- W2912982797 hasConcept C25810664 @default.
- W2912982797 hasConcept C2779390178 @default.
- W2912982797 hasConcept C41008148 @default.
- W2912982797 hasConceptScore W2912982797C110875604 @default.
- W2912982797 hasConceptScore W2912982797C111472728 @default.
- W2912982797 hasConceptScore W2912982797C136764020 @default.
- W2912982797 hasConceptScore W2912982797C138885662 @default.
- W2912982797 hasConceptScore W2912982797C2522767166 @default.
- W2912982797 hasConceptScore W2912982797C25810664 @default.
- W2912982797 hasConceptScore W2912982797C2779390178 @default.
- W2912982797 hasConceptScore W2912982797C41008148 @default.
- W2912982797 hasLocation W29129827971 @default.
- W2912982797 hasOpenAccess W2912982797 @default.
- W2912982797 hasPrimaryLocation W29129827971 @default.
- W2912982797 hasRelatedWork W1528998781 @default.
- W2912982797 hasRelatedWork W1933799439 @default.
- W2912982797 hasRelatedWork W2037518092 @default.
- W2912982797 hasRelatedWork W2054229986 @default.
- W2912982797 hasRelatedWork W2084909518 @default.
- W2912982797 hasRelatedWork W2103546163 @default.
- W2912982797 hasRelatedWork W2104419524 @default.
- W2912982797 hasRelatedWork W2192012746 @default.
- W2912982797 hasRelatedWork W2242481385 @default.
- W2912982797 hasRelatedWork W2354465591 @default.
- W2912982797 hasRelatedWork W2382493118 @default.
- W2912982797 hasRelatedWork W2384135421 @default.
- W2912982797 hasRelatedWork W2460732433 @default.
- W2912982797 hasRelatedWork W2794991743 @default.
- W2912982797 hasRelatedWork W2894652650 @default.
- W2912982797 hasRelatedWork W2945257346 @default.
- W2912982797 hasRelatedWork W2964403605 @default.
- W2912982797 hasRelatedWork W3158794813 @default.
- W2912982797 hasRelatedWork W55496553 @default.
- W2912982797 hasRelatedWork W87560210 @default.
- W2912982797 isParatext "false" @default.
- W2912982797 isRetracted "false" @default.
- W2912982797 magId "2912982797" @default.
- W2912982797 workType "article" @default.