Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Ontology Learning is up to now dominated by techniques which use text as input. There are only few methods which use a different data source. The techniques which use highly structured data as input have the disadvantage that such data sources are rare. On the other side, there are enormous amoun...
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IOS Press
2013
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35195 |
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oai:scholar.dlu.edu.vn:DLU123456789-351952014-01-20T00:07:35Z Ontology Learning and Population: Bridging the Gap between Text and Knowledge Buitelaar, Paul Cimiano, Philipp Population Knowledge Ontology Learning is up to now dominated by techniques which use text as input. There are only few methods which use a different data source. The techniques which use highly structured data as input have the disadvantage that such data sources are rare. On the other side, there are enormous amounts of Web content present today. We present the XTREEM (Xhtml TREE Mining) methods which enable Ontology Learning from Web Documents. Those methods rely on the semi-structure of Web Documents. The added value of Web document markup is exploited by the XTREEM methods. We show methods for the acquisition of terms, synonyms and semantic relations. The XTREEM techniques are based on the structure of Web documents; they are domain and language independent. There is no need for NLP software nor for training. They do not rely on domain or document collection specific resources or background knowledge, such as patterns, rules or other heuristics; nor do they rely on manually assembling a document collection. 2013-08-27T06:31:56Z 2013-08-27T06:31:56Z 2008 Book 978-1-58603-818-2 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35195 en application/pdf IOS Press |
| institution |
Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Population Knowledge |
| spellingShingle |
Population Knowledge Buitelaar, Paul Cimiano, Philipp Ontology Learning and Population: Bridging the Gap between Text and Knowledge |
| description |
Ontology Learning is up to now dominated by techniques which use
text as input. There are only few methods which use a different data source. The
techniques which use highly structured data as input have the disadvantage that
such data sources are rare. On the other side, there are enormous amounts of Web
content present today.
We present the XTREEM (Xhtml TREE Mining) methods which enable Ontology
Learning from Web Documents. Those methods rely on the semi-structure of
Web Documents. The added value of Web document markup is exploited by the
XTREEM methods. We show methods for the acquisition of terms, synonyms and
semantic relations.
The XTREEM techniques are based on the structure of Web documents; they
are domain and language independent. There is no need for NLP software nor for
training. They do not rely on domain or document collection specific resources or
background knowledge, such as patterns, rules or other heuristics; nor do they rely
on manually assembling a document collection. |
| format |
Book |
| author |
Buitelaar, Paul Cimiano, Philipp |
| author_facet |
Buitelaar, Paul Cimiano, Philipp |
| author_sort |
Buitelaar, Paul |
| title |
Ontology Learning and Population: Bridging the Gap between Text and Knowledge |
| title_short |
Ontology Learning and Population: Bridging the Gap between Text and Knowledge |
| title_full |
Ontology Learning and Population: Bridging the Gap between Text and Knowledge |
| title_fullStr |
Ontology Learning and Population: Bridging the Gap between Text and Knowledge |
| title_full_unstemmed |
Ontology Learning and Population: Bridging the Gap between Text and Knowledge |
| title_sort |
ontology learning and population: bridging the gap between text and knowledge |
| publisher |
IOS Press |
| publishDate |
2013 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35195 |
| _version_ |
1757652783249489920 |