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Semantic Medicine

Alexandra Lacatus, Emanuela Catana
Faculty of Computer Science, Iasi
Motivation
 Herbal Medicine is an important alternative to drug-based

medicine
 HM represents many people’s choices
 The web has plenty of relevant information (unstructured
yet)
 The project combines the use of semantic data representation
with useful information (medicinal plants)

2

Semantic Medicine, FCS Iasi, 2013
Current work

 Medicinal plant collections (HerbMed, MedlinePlus)
 Ontologies for modelling plant vocabularies (The Plant

Ontology)
 Ontologies for indian medicinal plants (MP-Ontology, KIMP
project)

3

Semantic Medicine, FCS Iasi, 2013
SEDIC Project Milestones

 HM-ontology specification
 Data extraction (websites, DBpedia)

 REST API + SPARQL endpoint to access the data
 Android client application

4

Semantic Medicine, FCS Iasi, 2013
Main user stories
 Search for a possible cure for an illness

An illness is characterized by an affected body area and some
affection parameters (intensity, type). The user can also
specify a medical condition (contraindications, other
diseases)
 Look up for the characteristics of a specific plant

(search upon a plant name)

5

Semantic Medicine, FCS Iasi, 2013
System architecture

6

Semantic Medicine, FCS Iasi, 2013
Proposal – HM-Ontology
 A task-oriented ontology for representing medicinal plants

7

Semantic Medicine, FCS Iasi, 2013
Proposal – REST API
 GET /plantRemedy
 Gets the information about a single plant remedy

 POST /plantRemedy
 Uses the existing parameters to search for remedies

 GET /plant
 Returns information about a specific plant

 POST /plant
 Uses the parameters to search for plants with the specified

name/location

8

Semantic Medicine, FCS Iasi, 2013
Until next time: priorities
 We will focus more on the modelling part and on the REST

API implementation rather than on the esthetical aspects on
this project
 Depending on the timeframe, we could include also extra
features, like the possibility to add an upvote/downvote for a
remedy

9

Semantic Medicine, FCS Iasi, 2013

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SEDIC Project - Semantic medicine

  • 1. Semantic Medicine Alexandra Lacatus, Emanuela Catana Faculty of Computer Science, Iasi
  • 2. Motivation  Herbal Medicine is an important alternative to drug-based medicine  HM represents many people’s choices  The web has plenty of relevant information (unstructured yet)  The project combines the use of semantic data representation with useful information (medicinal plants) 2 Semantic Medicine, FCS Iasi, 2013
  • 3. Current work  Medicinal plant collections (HerbMed, MedlinePlus)  Ontologies for modelling plant vocabularies (The Plant Ontology)  Ontologies for indian medicinal plants (MP-Ontology, KIMP project) 3 Semantic Medicine, FCS Iasi, 2013
  • 4. SEDIC Project Milestones  HM-ontology specification  Data extraction (websites, DBpedia)  REST API + SPARQL endpoint to access the data  Android client application 4 Semantic Medicine, FCS Iasi, 2013
  • 5. Main user stories  Search for a possible cure for an illness An illness is characterized by an affected body area and some affection parameters (intensity, type). The user can also specify a medical condition (contraindications, other diseases)  Look up for the characteristics of a specific plant (search upon a plant name) 5 Semantic Medicine, FCS Iasi, 2013
  • 7. Proposal – HM-Ontology  A task-oriented ontology for representing medicinal plants 7 Semantic Medicine, FCS Iasi, 2013
  • 8. Proposal – REST API  GET /plantRemedy  Gets the information about a single plant remedy  POST /plantRemedy  Uses the existing parameters to search for remedies  GET /plant  Returns information about a specific plant  POST /plant  Uses the parameters to search for plants with the specified name/location 8 Semantic Medicine, FCS Iasi, 2013
  • 9. Until next time: priorities  We will focus more on the modelling part and on the REST API implementation rather than on the esthetical aspects on this project  Depending on the timeframe, we could include also extra features, like the possibility to add an upvote/downvote for a remedy 9 Semantic Medicine, FCS Iasi, 2013