| 47332 |
Creator |
c9aa7f2e582d191ed728ad414c5ea711 |
| 47332 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| 47332 |
Creator |
74c5abc5852e220f248e5950bf01029d |
| 47332 |
Date |
2016 |
| 47332 |
Is Part Of |
repository |
| 47332 |
abstract |
In recent years we have seen the emergence of a variety of scholarly datasets. Typically
these capture ‘standard’ scholarly entities and their connections, such as authors,
affiliations, venues, publications, citations, and others. However, as the repositories
grow and the technology improves, researchers are adding new entities to these repositories
to develop a richer model of the scholarly domain. In this paper, we introduce TechMiner,
a new approach, which combines NLP, machine learning and semantic technologies, for
mining technologies from research publications and generating an OWL ontology describing
their relationships with other research entities. The resulting knowledge base can
support a number of tasks, such as: richer semantic search, which can exploit the
technology dimension to support better retrieval of publications; richer expert search;
monitoring the emergence and impact of new technologies, both within and across scientific
fields; studying the scholarly dynamics associated with the emergence of new technologies;
and others. TechMiner was evaluated on a manually annotated gold standard and the
results indicate that it significantly outperforms alternative NLP approaches and
that its semantic features improve performance significantly with respect to both
recall and precision. |
| 47332 |
authorList |
authors |
| 47332 |
presentedAt |
ext-a110e863447fb4cf83f5b43152e7fde2 |
| 47332 |
status |
peerReviewed |
| 47332 |
uri |
http://data.open.ac.uk/oro/document/506645 |
| 47332 |
uri |
http://data.open.ac.uk/oro/document/506651 |
| 47332 |
uri |
http://data.open.ac.uk/oro/document/506652 |
| 47332 |
uri |
http://data.open.ac.uk/oro/document/506653 |
| 47332 |
uri |
http://data.open.ac.uk/oro/document/506654 |
| 47332 |
uri |
http://data.open.ac.uk/oro/document/506655 |
| 47332 |
uri |
http://data.open.ac.uk/oro/document/512126 |
| 47332 |
type |
AcademicArticle |
| 47332 |
type |
Article |
| 47332 |
label |
Osborne, Francesco ; de Ribaupierre, Helene and Motta, Enrico (2016). TechMiner:
Extracting Technologies from Academic Publications. In: 20th International Conference
on Knowledge Engineering and Knowledge Management (EKAW 2016), 19-23 Nov 2016, Bologna,
Italy. |
| 47332 |
label |
Osborne, Francesco ; de Ribaupierre, Helene and Motta, Enrico (2016). TechMiner:
Extracting Technologies from Academic Publications. In: 20th International Conference
on Knowledge Engineering and Knowledge Management (EKAW 2016), 19-23 Nov 2016, Bologna,
Italy. |
| 47332 |
Title |
TechMiner: Extracting Technologies from Academic Publications |
| 47332 |
in dataset |
oro |