NIMFA - Natural language Implicit Meaning Formalization and Abstraction

Authors:
Mladen Stanojević;Nikola Tomašević;Sanja Vraneš
Affiliations:
University of Belgrade, The Mihailo Pupin Institute, 11060 Belgrade, Serbia;University of Belgrade, The Mihailo Pupin Institute, 11060 Belgrade, Serbia;University of Belgrade, The Mihailo Pupin Institute, 11060 Belgrade, Serbia
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 18
Cited 0

Mapping part-whole hierarchies into connectionist networks

Artificial Intelligence - On connectionist symbol processing
Knowledge representation: logical, philosophical and computational foundations

Knowledge representation: logical, philosophical and computational foundations
The entity-relationship model—toward a unified view of data

ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
The object data standard: ODMG 3.0

The object data standard: ODMG 3.0
Formal justification in object-oriented modelling: a linguistic approach

Data & Knowledge Engineering
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential

Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential
From Computational Intelligence to Web Intelligence

Computer
Prolog/Rex-A Way to Extend Prolog for Better Knowledge Representation

IEEE Transactions on Knowledge and Data Engineering
DAML+OIL: An Ontology Language for the Semantic Web

IEEE Intelligent Systems
A Comparative Study of Information Extraction Strategies

CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Salton Award Lecture - Information retrieval and computer science: an evolving relationship

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Entity-relationship modeling: historical events, future trends, and lessons learned

Software pioneers
High-Performance Unsupervised Relation Extraction from Large Corpora

ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Knowledge representation with SOUL

Expert Systems with Applications: An International Journal
Ontology-based information extraction for business intelligence

ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Semantic web services with SOUL

BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Learning with limited numerical precision using the cascade-correlation algorithm

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	12.05

Visualization

Abstract

There are many general purpose Knowledge Representation, Natural Language Processing and Information Extraction techniques that were successfully applied in many applications. However, their more broad use is still limited by the relatively high costs of their application. It seems that these limitations are partly caused by some essential characteristics and some weaknesses of these techniques. In this paper we propose a radically new knowledge representation and interpretation technique, NIMFA, specialized for knowledge expressed in natural languages. To test the basic ideas underlying NIMFA we have implemented a prototype Information Center that provides answers to natural language queries using Web services.