Human Language Technology Research Institute
The University of Texas at Dallas
HLTRI Seminars Dr. Hermann Helbig

Multilayered Extended Semantic Networks as a Knowledge Representation Paradigm and Interlingua for Meaning Representation
Seminar on Mar 07, 2007, 2pm ~ Dr. Hermann Helbig, University at Hagen, Germany

Dr. Hermann Helbig's web page:

The talk gives an overview of Multilayered Extended Semantic Networks (abbreviated MultiNet), which is one of the most comprehensively described knowledge representation paradigms used as a semantic interlingua in large-scale NLP applications and for linguistic investigations into the semantics and pragmatics of natural language.

As with other semantic networks, concepts are represented in MultiNet by nodes, and relations between concepts are represented as arcs between these nodes. Additionally to that, every node is classified according to a predefined conceptual ontology forming a hierarchy of sorts, and the nodes are embedded in a multidimensional space of layer attributes and their values. MultiNet provides a set of about 150 standardized relations and functions which are described in a very concise way including an axiomatic apparatus, where the axioms are classified according to predefined types. The representational means of MultiNet claim to fulfill the criteria of universality, homogeneity, and cognitive adequacy. In the talk, it is also shown, how MultiNet can be used for the semantic representation of different semantic phenomena.

To overcome the quantitative barrier in building large knowledge bases and semantically oriented computational lexica, MultiNet is associated with a set of tools including a semantic interpreter NatLink for automatically translating natural language expressions into MultiNet networks, a workbench LIA for the computer lexicographer, and a workbench MWR for the knowledge engineer for managing and graphically manipulating semantic networks. The applications of MultiNet as a semantic interlingua range from natural language interfaces to the Internet and to dedicated databases, over question-answering systems, to systems for automatic knowledge acquisition.

Prof. Hermann Helbig received an M.S. in Physics from the University of Leipzig (Diploma in Quantum Theory), a Ph.D. in Computer Science (Promotion, Dr.rer.nat., in the field of AI) and Habilitation (Dr.rer.nat.habil.) in the field of Knowledge Representation. He worked as a Researcher in the fields of Artificial Intelligence (AI) and Computational Linguistics (CL) (Robotron, Dresden, Head of the AI Laboratory). Dr. Helbig is a Professor at the University in Hagen, and Head of the Chair: Intelligent Information and Communication Systems.

Dr. Helbig's accomplishments include:
* Creation of the word-class controlled functional analysis (Development of a semantically driven parser) * Development of the Natural Language Interface NLI-AIDOS * Development of the Question-Answering System FAS-80 1976 * Creation of the knowledge representation paradigm 'Multilayered Extended Semantic Networks' (MultiNet) in 1986 * Development of Man-Machine Interfaces and Geographic Information Systems.

Professor Helbig has published three monographs Kunstliche Intelligenz und automatische Wissensverarbeitung [Artificial Intelligence and Automatic Knowledge Processing] (1991/1996), Die semantische Struktur naturlicher Sprache [The Semantics Structure of Natural Language] (2001), and Knowledge Representation and the Semantics of Natural Language (2006).

AboutDirectionsSite MapContacts
© 2005 Human Language Technology Research Institute  
eXtended WordNet downloads