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| Chapter title |
DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings
|
|---|---|
| Chapter number | 12 |
| Book title |
The Semantic Web. Latest Advances and New Domains
|
| Published in |
Lecture notes in computer science, May 2016
|
| DOI | 10.1007/978-3-319-34129-3_12 |
| Book ISBNs |
978-3-31-934128-6, 978-3-31-934129-3
|
| Authors |
Stefan Zwicklbauer, Christin Seifert, Michael Granitzer |
| Editors |
Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone Paolo Ponzetto, Christoph Lange |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| France | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 47 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 65% |
| Engineering | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Social Sciences | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 13 | 25% |