2012
DOI: 10.1145/2333112.2333115
|View full text |Cite
|
Sign up to set email alerts
|

Ontology learning from text

Abstract: Ontologies are often viewed as the answer to the need for interoperable semantics in modern information systems. The explosion of textual information on the Read/Write Web coupled with the increasing demand for ontologies to power the Semantic Web have made (semi-)automatic ontology learning from text a very promising research area. This together with the advanced state in related areas, such as natural language processing, have fueled research into ontology learning over the past decade. This survey looks at … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
58
0
6

Year Published

2012
2012
2020
2020

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 298 publications
(64 citation statements)
references
References 67 publications
0
58
0
6
Order By: Relevance
“…The method of ontology development makes sense only as part of some intelligent system [17]. This solution became an intelligent system of information search based on adaptive ontologies, knowledge base in the field of materials science and database of scientific publications in this field [16].…”
Section: Automatic Development Of Ontology Based On the Assessment Ofmentioning
confidence: 99%
“…The method of ontology development makes sense only as part of some intelligent system [17]. This solution became an intelligent system of information search based on adaptive ontologies, knowledge base in the field of materials science and database of scientific publications in this field [16].…”
Section: Automatic Development Of Ontology Based On the Assessment Ofmentioning
confidence: 99%
“…Extractions of ontological elements from text and building ontology from them is a field of ontology learning [12] [16]. Ontology provides conceptual sharing of formal represented knowledge [1].…”
Section: Related Workmentioning
confidence: 99%
“…Meanwhile, the multi terms can be identified using N-grams [18] or using linguistic method [19]. Linguistic method depends on Part Of Speech tagger [12]. A hybrid of both methods are also used to identify concept [9] [18].…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations