Zobrazeno 1 - 10
of 2 165
pro vyhledávání: '"Ontology Inference Layer"'
Publikováno v:
NAFIPS
Fuzzy ontology is a generalization of crisp ontology for modeling uncertain information and has been applied in recent years for supporting different activities of semantic web. However, there are great collections of crisp ontologies developed so fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::320b1e2b18ab242f4ea27edfcf78db5b
Publikováno v:
The Electronic Library. 35:1191-1214
PurposeThe purpose of this study is to reduce the semantic distance by proposing a model for integrating indexes of textual and visual features via a multi-modality ontology and the use of DBpedia to improve the comprehensiveness of the ontology to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59c982f4756241fb36de2c939960fff3
https://doi.org/10.1108/el-06-2016-0127
https://doi.org/10.1108/el-06-2016-0127
Autor:
Mike Bennett
Publikováno v:
Applied Ontology. 12:341-349
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::562b4fa9019d4fc796efc984be094ff0
https://doi.org/10.3233/ao-170187
https://doi.org/10.3233/ao-170187
Publikováno v:
International Journal of Information Retrieval Research. 7:19-36
Semantic analysis computation is done by extracting the interrelated concepts used by an author in the text/content of document. The concepts and linking i.e. relationships that are available among the concepts are most relevant as they provide the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7f9b6814593ce617d05ba23ae84336f
https://doi.org/10.4018/ijirr.2017100102
https://doi.org/10.4018/ijirr.2017100102
Publikováno v:
Cluster Computing. 20:3379-3391
Ontology mapping indicates the semantic interconnection between the concepts of ontologies, while multi-domain ontology mapping is usually used to solve the semantic interconnection problem between domain ontologies. However, due to the differences i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::701d6bbd795a808e48f7ac4cd2c12636
https://doi.org/10.1007/s10586-017-1087-x
https://doi.org/10.1007/s10586-017-1087-x
Autor:
N. Kaur, H. Aggarwal
Publikováno v:
International Journal of Modern Education and Computer Science. 9:63-73
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f74a22a23187ba43f6254346232c7d1b
https://doi.org/10.5815/ijmecs.2017.07.07
https://doi.org/10.5815/ijmecs.2017.07.07
Autor:
Denis Eka Cahyani, Ito Wasito
Publikováno v:
Jurnal Ilmu Komputer dan Informasi, Vol 10, Iss 2, Pp 59-66 (2017)
An ontology is defined as an explicit specification of a conceptualization, which is an important tool for modeling, sharing and reuse of domain knowledge. However, ontology construction by hand is a complex and a time consuming task. This research p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43bc4ca6e21d211c84aea90c49372c60
http://jiki.cs.ui.ac.id/index.php/jiki/article/view/374
http://jiki.cs.ui.ac.id/index.php/jiki/article/view/374
Publikováno v:
Tsinghua Science and Technology. 22:254-272
An ontology is a conceptualisation of domain knowledge. It is employed in semantic web services technologies to describe the meanings of services so that they can be dynamically searched for and composed according to their meanings. It is essential f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4273500d58de44ba13b3397ace864b4
https://doi.org/10.23919/tst.2017.7914198
https://doi.org/10.23919/tst.2017.7914198
Autor:
Shaker El-Sappagh, Mohammed Elmogy
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 20, Iss 3, Pp 1025-1040 (2017)
Knowledge-Intensive Case-Based Reasoning Systems (KI-CBR) mainly depend on ontologies. Ontology can play the role of case-base knowledge. The combination of ontology and fuzzy logic reasoning is critical in the medical domain. Case-base representatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b78f68ae0284163bfd4726110505717
https://doi.org/10.1016/j.jestch.2017.03.009
https://doi.org/10.1016/j.jestch.2017.03.009
Publikováno v:
Cluster Computing. 20:959-968
Recent years, a large amount of ontology learning algorithms have been applied in different disciplines and engineering. The ontology model is presented as a graph and the key of ontology algorithms is similarity measuring between concepts. In the le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08c959f8561e11f4bb072a121ba7b636
https://doi.org/10.1007/s10586-017-0887-3
https://doi.org/10.1007/s10586-017-0887-3