Current Research Projects

Logic-Based Conjoint Analysis

Conjoint Analysis (CA) focuses on predicting behavioral outcomes by using statistical methods and techniques and this resulted in a widespread variation of CA practice. Apart of statistical methods, this project aims to establish a logic-based methodology and practice on conjoint analysis towards delivering much better result interpretation and decision support.

"Multimediale Aehnlichkeitssuche zum Matchen, Typologisieren und Segmentieren"

Closed Research Projects (1996 - 2010)

JSON Rules (2008-2009)

A first version of a rule language designed to model reactive rules running in a JavaScript rule engine, i.e. executing ECA rules in the browser. The language capabilities are:

1. Allows implementation of intelligent and adaptive Web user interfaces (e.g. Whenever the user clicks more than 3 times a menu item add this item to the fast access menu items.)
2. Permits modeling of Web business processes involving user activities in the browser (e.g. If the user loads financial news, offers him a three months subscription to Financial Times)
3. Allows rule-based reasoning with semantic data inside HTML pages (e.g. Whenever the user clicks on an RDFa annotated publication show him related publications from the same foaf:topic )
4. Allows creation of intelligent mashups - rule-based mashups

The Rule Markup (I1) (2005-2008)

Research topics:

• developing visual rule modeling languages, accompanied by suitable rule markup languages;
• unifying the syntax and markup of the collection of reasoning languages developed in REWERSE;
• aligning the syntax and markup of reasoning languages developed in REWERSE with other Semantic Web proposals or standards, in particular with RuleML.
• building rule modeling software tools and rule interchange software tools, to be used with the reasoning languages developed in REWERSE.

In the FuzzyRuleML WG (2005-2006).

Research topic: The extension of the RuleML framework with fuzzy set theory and fuzzy logic aspects, in order to provide a rule language framework for representing both certain and uncertain information. More specifically, this project is focused on syntactic and semantic changes that need to take place in order to make RuleML capable of representing vague (fuzzy) information.

Uncertainty in Web Languages.

Research topics:Representation and Reasoning with Uncertain Knowledge in Web Languages.

Grant no.976/2002, Project: Processing Incomplete Knowledge in Web Extraction.

Research subjects:

• To obtain new operators for managing uncertainty in inferential processes.
• To develop of a general representation language for web engines search criteria.
• To obtain optimal algorithms.
• To extend the resolution reasoning in order to support distributed knowledge.
• A knowledge base model and query language for such knowledge.

Grant no.35254/15C/7/2001, Project: Mathematical Model for Knowledge Representation in a Distributed Environment.

Research topic: A new model of logic programming with incomplete knowledge

• The representation language
• The knowledge base
• The reasoning algorithm and the query language
• The serialization of knowledge for exchanging between different systems

Grant no.4636/15C/3/1999, Project: Frame based knowledge system and its implementation in an architecture client-server.

Research topic: Using Minsky frames in web knowledge representation

• To develop a specific algebra of objects
• To develop FQL a query language
• To obtain the FRAKS application
• To apply FRAKS for testing logical circuits

Grant no.4636/15C/9/1999, Project: Mathematical Models for Processing Incomplete Knowledge in Expert Systems for Diagnosis and Forecasting.

Research subjects:

• New operators for managing uncertainty in inferential processes.
• Fuzzy unification
• A fixpoint semantic for fuzzy logic programs

Grant no.01091198/1999, Project: Using INFORMIX in academic research. in cooperation with PHOENIX SOFTWARE (INFORMIX Romania).

Grant no.CNCSIS/1997, Project: Noi metode si echipamente de reducere a noxelor in instalatiile din industria alimentara si din agricultura. Director Prof.Dr. D. Rosca(in Romanian)

Research subjects:

• Statistical studies for pollution control

Grant no.5006/1996 , Project: Mathematical Models for Knowledge Representation.

Research subjects:

• Using binary relation algebra to knowledge representation
• The limits of first order semantic in semantics of knowledge

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