Abstract
| Language | English |
|---|---|
| Title of host publication | Foundations of Intelligent Systems : 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings |
| Editors | Marzena Kryszkiewicz, Annalisa Appice, Dominik Ślęzak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Raś |
| Place of Publication | Cham |
| Publisher | Springer |
| Date | 2017 |
| Pages | 424-434 |
| ISBN (Print) | 978-3-319-60437-4 |
| ISBN (Electronic) | 978-3-319-60438-1 |
| DOIs | |
| State | Published - 2017 |
| Event | Foundations of intelligent systems: 23rd International Symposium - Warsaw, Poland Duration: 26 Jun 2017 → 29 Jun 2017 Conference number: 23 |
Symposium
| Symposium | Foundations of intelligent systems |
|---|---|
| Number | 23 |
| Country | Poland |
| City | Warsaw |
| Period | 26/06/2017 → 29/06/2017 |
| Series | Lecture Notes in Computer Science |
|---|---|
| Number | 10352 |
| ISSN | 0302-9743 |
| Series | Lecture notes in artificial intelligence |
|---|---|
| Number | 10352 |
| ISSN | 0302-9743 |
Keywords
- Semantic text processing in bio-informatics
- Bio-models using natural logic and semantic graphs
- Querying and pathway computation
Cite this
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Pathway Computation in Models Derived from Bio-Science Text Sources. / Andreasen, Troels; Styltsvig, Henrik Bulskov; Jensen, Per Anker; Nilsson, Jørgen Fischer.
Foundations of Intelligent Systems : 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings . ed. / Marzena Kryszkiewicz; Annalisa Appice; Dominik Ślęzak; Henryk Rybinski; Andrzej Skowron; Zbigniew W. Raś. Cham : Springer, 2017. p. 424-434.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - Pathway Computation in Models Derived from Bio-Science Text Sources
AU - Andreasen,Troels
AU - Styltsvig,Henrik Bulskov
AU - Jensen,Per Anker
AU - Nilsson,Jørgen Fischer
PY - 2017
Y1 - 2017
N2 - This paper outlines a system, OntoScape, serving to accomplish complex inference tasks on knowledge bases and bio-models derived from life-science text corpora. The system applies so-called natural logic, a form of logic which is readable for humans. This logic affords ontological representations of complex terms appearing in the text sources. Along with logical propositions, the system applies a semantic graph representation facilitating calculation of bio-pathways. More generally, the system affords means of query answering appealing to general and domain specific inference rules.
AB - This paper outlines a system, OntoScape, serving to accomplish complex inference tasks on knowledge bases and bio-models derived from life-science text corpora. The system applies so-called natural logic, a form of logic which is readable for humans. This logic affords ontological representations of complex terms appearing in the text sources. Along with logical propositions, the system applies a semantic graph representation facilitating calculation of bio-pathways. More generally, the system affords means of query answering appealing to general and domain specific inference rules.
KW - Semantic text processing in bio-informatics
KW - Bio-models using natural logic and semantic graphs
KW - Querying and pathway computation
KW - Semantic text processing in bio-informatics
KW - Bio-models using natural logic and semantic graphs
KW - Querying and pathway computation
U2 - 10.1007/978-3-319-60438-1_42
DO - 10.1007/978-3-319-60438-1_42
M3 - Article in proceedings
SN - 978-3-319-60437-4
SP - 424
EP - 434
BT - Foundations of Intelligent Systems
PB - Springer
CY - Cham
ER -