Home 
Publications 
Research 
Teaching 
Links 
Contact 

 Projects  Software


Research Projects

Involved in the following research projects, as:

Director
:

Research grants

Member:

 


Software

  • Argmed
    • In the medical domain, the continuous stream of scientific research contains contradictory results supported by arguments and counter-arguments. As medical expertise occurs at different levels, part of the human agents have difficulties to face the huge amount of studies, but also to understand the reasons and pieces of evidences claimed by the proponents and the opponents of the debated topic. To better understand the supporting arguments for new findings related to current state in the medical domain we need tools able to identify arguments in scientific papers. The system relies on the well-known domain knowledge interleaved with the natural language processing. To formalise the existing medical knowledge, the system relies on ontologies. To structure the argumentation model the system uses also the expressivity and reasoning capabilities of Description Logics. To perform argumentation mining the system uses various linguistic patterns in a rule-based language. The solution was tested against a corpus of scientific papers related to breast cancer. The main feature of the tool is to detect automatically the structure of the arguments inside medical documents. An argument is formed by one claim and one or more premises, this instrument is capable of detecting this sentences or parts using an algorithm based on the presence of the coordinating conjunction.
  • EMKA:
    • To better understand the relations between new findings and current medical knowledge, we need tools able to analyze published medical papers based on natural language processing and
      tools capable of identifying various relationships of new findings with the current medical knowledge. Our tool aims to fill the above technological gap. To identify conflicting information in medical documents, we enact textual entailment technology. To encapsulate existing medical knowledge, we rely on ontologies. To connect the formal axioms in ontologies with natural text in medical articles, we exploit ontology verbalization techniques. To assess the level of disagreement between human agents with respect to a medical issue, we rely on fuzzy aggregation. To harmonize this disagreement, we design mediation protocols within a multi-agent framework.
             
  • AHP-OntoEval
    • The AHP-based ontology evaluation system is an automatic decision-aiding software that evaluates ontologies based on their complex characteristics. The user decides the importance of each criterion in a simple manner, as well as the domain covered by the desired ontology. We use a hierarchical model of independent characteristics that describe ontologies.
  • SafeEd Tool
    • The Goal Structuring Notation is an argumentation notation used to structure and graphically represent a safety argument. The main feature of the tool is to translate the GSN graphical notation into description logic in order check the GSN model for consistency. Hence, the GSN model for a safety critical application can be specified both in graphical notation and in description logic. The advantage is that the specific reasoning services of description logic are enacted to verify the compliance of the case with the GSN standard and also to signal possible argumentation flaws.
  • ProGraph (developed by Serban Groza, student at TUCN) has participated at International Competition on Computational Models of Argumentationrgumentation Competition 2015, Buenos Aires, Argentina
  • OntoEG
    • ONTOEG system for automated essay grading uses ontologies and textual entailment. The process of textual entailment is guided by hypotheses, which are extracted from a domain ontology. Textual entailment checks if the truth of the hypothesis follows from a given text. We enact textual entailment to compare students answer to a model answer obtained from ontology. We validated the solution against various essays written by students in the chemistry domain.
  • ArgExp - Interleaved Argument and Explanation

  • STouR - Semantic-Based Tourism Recommender Systems

  • OntoRich - Ontology Enrichment and Evaluation

  • DEMCA - Designing Electronic Markets for Contractual Agents 
    • intelligent software package that handles online disputes resolution in an automated manner.

 

Meetings

 



 



[Home][Publications][Research][Teaching][Links][Contact]

adrian.groza@cs.utcluj.ro