Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Chien D.C. Ta"'
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:1871-1876
Semantic relations have been adopted in many research fields, including the semantic web, information retrieval, and Q&A systems. The aim of the semantic relations is to remove conceptual and terminological confusion. This is achieved by specifying a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e313ed24c002c8960130c68ce15a498
https://doi.org/10.3233/jifs-219288
https://doi.org/10.3233/jifs-219288
Autor:
Chien D.C. Ta, Linh My Ta
Publikováno v:
2022 RIVF International Conference on Computing and Communication Technologies (RIVF).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::384e3592893499a9ac7e5e012754edf6
https://doi.org/10.1109/rivf55975.2022.10013856
https://doi.org/10.1109/rivf55975.2022.10013856
Publikováno v:
International Journal of Business Information Systems. 1:1
Topic labelling is an important task of text mining. It supports assigning proper topic labels to the text documents. In this paper, we present a novel approach of using graph-based concept matching approach in solving automatic topic labelling task.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::376c7968ff99f2462e48aba09e44e7f9
https://doi.org/10.1504/ijbis.2020.10019273
https://doi.org/10.1504/ijbis.2020.10019273
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811082757
In this paper, we demonstrate a novel approach in topic model exploration by applying word co-occurrence graph or g raph-o f-w ords (GOW) in order to produce more informative extracted latent topics from a large document corpus. According to the L at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14aee99e2ea18a894eae5318faad236d
https://doi.org/10.1007/978-981-10-8276-4_40
https://doi.org/10.1007/978-981-10-8276-4_40
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783319754161
ACIIDS (1)
ACIIDS (1)
In information retrieval, similarity measure or top-k similarity searching had been extensively researched. Similarity search supports to find the most relevant information in a large-scale collection of datasets, especially, with large-scale heterog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::496254cde18fa9052a2ddcf5d092de89
https://doi.org/10.1007/978-3-319-75417-8_51
https://doi.org/10.1007/978-3-319-75417-8_51
Autor:
Chien D.C. Ta, Tuoi Phan Thi
Publikováno v:
Future Data and Security Engineering ISBN: 9783319480565
FDSE
FDSE
Ontologies play an important role of the applications in recent years, especially on the Semantic Web, Information Retrieval, Information Extraction, and Question Answering. Ontologies are used in order to specify the knowledge that is exchanged and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2eac2f4c001327ac45c9ae682df058f
https://doi.org/10.1007/978-3-319-48057-2_24
https://doi.org/10.1007/978-3-319-48057-2_24
Autor:
Tuoi Phan Thi, Chien D.C. Ta
Publikováno v:
2015 International Conference on Communications, Management and Telecommunications (ComManTel).
The World Wide Web (WWW) is a massive data repository that continues to grow daily. Most people in the world are familiar with the WWW and use it to find information on any domain. However, most of the search engines usually are based on the vocabula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d559c853ce5b539554540e9a529f26d2
https://doi.org/10.1109/commantel.2015.7394255
https://doi.org/10.1109/commantel.2015.7394255
Autor:
Tuoi Phan Thi, Chien D.C. Ta
Publikováno v:
Future Data and Security Engineering ISBN: 9783319261348
FDSE
FDSE
Ontology plays an important role in the recent years. Its applications now are more popular and variety. Ontologies are used in the different areas related to Information Technology, Biology, and Medicine, especially in Information Retrieval, Informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8011680dd19b20674e62706ad4db7ccc
https://doi.org/10.1007/978-3-319-26135-5_21
https://doi.org/10.1007/978-3-319-26135-5_21
Autor:
Tuoi Phan Thi, Chien D.C. Ta
Publikováno v:
Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319210230
MLDM
MLDM
Ontologies are applied to many applications in recent years, especially on the semantic web, information retrieval, information extraction, and question answering. The purpose of domain-specific ontology is to get rid of conceptual and terminological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2eca7f869b98a7cdca5777f05ab0ee9
https://doi.org/10.1007/978-3-319-21024-7_9
https://doi.org/10.1007/978-3-319-21024-7_9
Autor:
Chien D.C. Ta, Tuoi Phan Thi
Publikováno v:
iiWAS
In this paper, we present an Information Extraction (IE) system, which is built from unstructured text based on Computing domain ontology. The IE system comprises four sequential processing steps: preprocessing, topic identifier, building domain spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8701bedadf938a7e8f8ebee7d149e8
https://doi.org/10.1145/2684200.2684329
https://doi.org/10.1145/2684200.2684329