Semi-Automatic Construction of Skeleton Concept Maps from Case Judgments

This paper proposes an approach to generating Skeleton Conceptual Maps (SCM) semi automatically from legal case documents provided by the United Kingdom’s Supreme Court. SCM are incomplete knowledge representations for the purpose of scaffolding learning. The proposed system intends to provide students with a tool to pre-process text and to extract knowledge from documents in a time saving manner. A combination of natural language processing methods and proposition extraction algorithms are used to generate the output. Conclusion is that improvements are necessary to provide results that adequately support students.

[1]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[2]  J. Novak.  The Theory Underlying Concept Maps and How To Construct Them , 2004 .

[3]  F. Fischer,et al.  Fostering collaborative knowledge construction with visualization tools , 2002 .

[4]  Martin J. Eppler.  A Comparison between Concept Maps, Mind Maps, Conceptual Diagrams, and Visual Metaphors as Complementary Tools for Knowledge Construction and Sharing , 2006, Inf. Vis..

[5]  Alberto J. Cañas,et al.  The Origins of the Concept Mapping Tool and the Continuing Evolution of the Tool* , 2006, Inf. Vis..

[6]  R. Clariana,et al.  A computer-based approach for translating text into concept map-like representations , 2004 .

[7]  Shian-Shyong Tseng,et al.  A new approach for constructing the concept map , 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

[8]  Marie-Francine Moens,et al.  Approaches to Text Mining Arguments from Legal Cases , 2010, Semantic Processing of Legal Texts.

[9]  M. G. Jones,et al.  The concept map as a research and evaluation tool: Further evidence of validity , 1994 .

[10]  Joseph D. Novak,et al.  Learning creating and using knowledge: Concept maps as facilitative tools , 1998 .

[11]  Andrew Olney,et al.  Generating Concept Map Exercises from Textbooks , 2011, BEA@ACL.

[12]  Amílcar Cardoso,et al.  Automatic Reading and Learning from Text , 2001 .

[13]  David B. Leake,et al.  JUMP-STARTING CONCEPT MAP CONSTRUCTION WITH KNOWLEDGE EXTRACTED FROM DOCUMENTS , 2006 .

[14]  James H. Wandersee,et al.  Using Concept Mapping as a Knowledge Mapping Tool , 2002 .

[15]  Rinke Hoekstra,et al.  Automatic Extraction of Legal Concepts and Definitions , 2012, JURIX.

[16]  Anna Cicognani.  Concept Mapping as a Collaborative Tool for Enhanced Online Learning , 2000, J. Educ. Technol. Soc..

[17]  Alberto J. Cañas,et al.  A TEORIA SUBJACENTE AOS MAPAS CONCEITUAIS E COMO ELABORÁ-LOS E USÁ-LOS * THE THEORY UNDERLYING CONCEPT MAPS AND HOW TO CONSTRUCT AND USE THEM , 2010 .

[18]  Oren Etzioni,et al.  Identifying Relations for Open Information Extraction , 2011, EMNLP.

[19]  J. Kowata,et al.  CONCEPT MAPS CORE ELEMENTS CANDIDATES RECOGNITION FROM TEXT , 2010 .