Towards an enterprise entity hub: Integration of general and enterprise knowledge
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, H. | - |
dc.contributor.author | Lee, J. | - |
dc.contributor.author | Yang, J. | - |
dc.date.accessioned | 2023-03-08T18:21:38Z | - |
dc.date.available | 2023-03-08T18:21:38Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64411 | - |
dc.description.abstract | Today’s enterprises possess vast quantities of data generated by their own applications and services across different organisational systems. However, the data tends to be stored in many data-silos with redundant, duplicated, and outdated information. This means that finding the right information and obtaining valuable insights is difficult. To address this problem, we develop the enterprise entity hub that enables users to search, analyse, share, and filter information across large-scale data sources. One of its core components, the base knowledge is used to organise and interlink the organisation’s knowledge model, we then construct a base knowledge through the integration of several data sources, and expand this knowledge by interlinking a set of enterprise content. © Springer International Publishing Switzerland 2016. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer Verlag | - |
dc.title | Towards an enterprise entity hub: Integration of general and enterprise knowledge | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-3-319-31676-5_22 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.9544, pp 301 - 310 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-84961661597 | - |
dc.citation.endPage | 310 | - |
dc.citation.startPage | 301 | - |
dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.volume | 9544 | - |
dc.type.docType | Conference Paper | - |
dc.publisher.location | 독일 | - |
dc.subject.keywordPlus | Semantics | - |
dc.subject.keywordPlus | And filters | - |
dc.subject.keywordPlus | Core components | - |
dc.subject.keywordPlus | Data silos | - |
dc.subject.keywordPlus | Data-sources | - |
dc.subject.keywordPlus | Knowledge model | - |
dc.subject.keywordPlus | Large scale data | - |
dc.subject.keywordPlus | Organisational systems | - |
dc.subject.keywordPlus | Outdated information | - |
dc.subject.keywordPlus | Semantic Web | - |
dc.description.journalRegisteredClass | scopus | - |
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