Abstract
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.
Original language | English |
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Title of host publication | Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Proceedings |
Volume | 10352 |
Publisher | Springer Verlag |
Publication date | 2017 |
Pages | 424-434 |
Chapter | 1 |
ISBN (Print) | 9783319604374 |
DOIs | |
Publication status | Published - 2017 |
Event | 23rd International Symposium on Methodologies for Intelligent Systems - Warsaw, Poland Duration: 26 Jun 2017 → 29 Jun 2017 Conference number: 23 |
Conference
Conference | 23rd International Symposium on Methodologies for Intelligent Systems |
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Number | 23 |
Country/Territory | Poland |
City | Warsaw |
Period | 26/06/2017 → 29/06/2017 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10352 LNAI |
ISSN | 0302-9743 |
Keywords
- Bio-models using natural logic and semantic graphs
- Querying and pathway computation
- Semantic text processing in bio-informatics