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Concept Hierarchy Extraction from Legal Literature
2018
International Conference on Information and Knowledge Management
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This work aims for collecting concept hierarchies from German literature in the legal domain which are then integrated into a knowledge base with multiple clusters, allowing for different perspectives ...
Starting with rule-based annotation, we cluster extracted references, given their context features derived from tables of contents and reasons for citing from various textbook formats. ...
The work is supported by Legal Horizon AG, Grant No.:1704/00082 ...
dblp:conf/cikm/WehnertBLS18
fatcat:hs56kcg5offy5avbat6eihtxtu
Ontology Learning Process as a Bottom-up Strategy for Building Domain-specific Ontology from Legal Texts
2017
Proceedings of the 9th International Conference on Agents and Artificial Intelligence
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The knowledge structures that interest us are legal domain-specific ontologies. We will use these ontologies to build legal domain ontology for a Lebanese legal knowledge based system. ...
Ontologies can be learnt from various sources, such as databases, structured and unstructured documents. Here, the focus is on the acquisition of ontologies from unstructured text, provided as input. ...
ACKNOWLEDGEMENTS This project has been funded with support from the European Union with the European Regional Development Fund (ERDF), the National Support from the National Council for Scientific Research ...
doi:10.5220/0006188004730480
dblp:conf/icaart/GhoshNAK17
fatcat:itgy6dfs2ra2rf6ivz3p3uibyu
Introduction: Special Issue on Racial Capitalism and Law
2022
Journal of Law and Political Economy
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The first type is social relations of extraction, in which it is acceptable for persons to extract labor from others and for powerful people to extract the raw materials of others over their objection. ...
The concept of racial capitalism has spawned a vast interdisciplinary literature, reflecting multiple theoretical perspectives on the various ways that race and class (along with gender, disability, and ...
We believe that the concept of racial capitalism is a promising area for legal scholarship, and we hope that this special issue will inspire more legal scholars to engage with the interdisciplinary literature ...
doi:10.5070/lp62258222
fatcat:zr6riw2ze5hjnho5lzfsm4hcpu
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings
2018
International Conference on Information and Knowledge Management
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venue for academic and industrial/governmental researchers and professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from ...
Legal data mining is the subarea of data mining applied to legal texts, such as legislation, case law, patents, and scholarly works. ...
. • Title: Structural Analysis of Contract Renewals Authors: Frieda Josi and Christian Wartena • Title: Concept Hierarchy Extraction from Legal Literature Authors: Sabine Wehnert, David Broneske, Stefan ...
dblp:conf/cikm/00010B0DMG18
fatcat:2nljfuvplfhuvhax6ascatvnfe
Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis
2018
AMIA Annual Symposium Proceedings
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Here we present a study on mining disease-symptom relation from massive biomedical literature and constructing biomedical knowledge graph from the relation. ...
From 15,970,134 MEDLINE/PubMed citation records, occurrences of 8,514 disease concepts from the Human Disease Ontology and 842 symptom concepts from the Symptom Ontology and their relation were analyzed ...
Different from EMR data, which have legal and ethical restrictions to data access, most biomedical literature reports can be openly accessed. ...
pmid:30815154
pmcid:PMC6371303
fatcat:toy4tkha3bfuxkcuxt2w3h5lcm
Towards a Middle-out Approach for Building Legal Domain Reference Ontology
2016
International Journal of Knowledge Engineering
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(top-down strategy) and Ontology Learning Process from textual resources (bottom-up strategy). ...
This article presents a middle-out approach to build legal domain reference ontology for a Legal Knowledge Based System (LKBS). ...
In other words, the concepts of the penal domain can be extracted from the textual resources, such as Infraction, and can be aligned with the concepts specialized from the top modules (upper and core). ...
doi:10.18178/ijke.2016.2.3.063
fatcat:edas7pikdjbojlesl3xf6wi63m
A Review on Ontology Learning Approaches of Creating a Topic Map of Cybercrime Research
2019
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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Researchers in such a field, therefore, can benefit from understanding the related domains of one's own research. ...
Especially, the methods we discuss here are text mining techniques for extracting ontology components, denoted as ontology learning. ...
Heuristic 8 and 9 concern table tags; topics extracted from a same row in a table are related while topics extracted from a same column are in topic -sub-topic hierarchy. ...
doi:10.24297/ijct.v18i0.8063
fatcat:yj32c2m2lbbvloo6mwaxkapi6q
Legal Knowledge Extraction for Knowledge Graph Based Question-Answering
[chapter]
2020
Frontiers in Artificial Intelligence and Applications
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This paper presents the Open Knowledge Extraction (OKE) tools combined with natural language analysis of the sentence in order to enrich the semantic of the legal knowledge extracted from legal text. ...
The system should help the legal expert to retrieve the relevant legal information connected with topics, concepts, entities, normative references in order to integrate his/her searching activities. ...
Extracting: extract C from Q, using the same procedure adopted for extracting concepts during the KG extraction in section 3.1. 2. ...
doi:10.3233/faia200858
fatcat:eiwguxwhvfarzexdhskza2jrxa
Events in the legal domain: first impressions
2018
Zenodo
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Aspects such as the concept of relevance are discussed, along with choices for evaluation. Possible strategies for extraction of legal events are described. ...
In this paper, we analyze current approaches to event representation and extraction in the legal domain, and we review generic approaches as well. ...
Acknowledgments This work was supported by a Predoctoral grant from the I+D+i program of the Universidad Politécnica de Madrid. ...
doi:10.5281/zenodo.4729703
fatcat:e5ibv3vphrafbpogt3jaqgfz3q
Legal Multimedia Ontologies and Semantic Annotation for Search and Retrieval
[chapter]
2010
Approaches to Legal Ontologies
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How to obtain the semantic information from multimedia is also studied as well as the different techniques to exploit and combine this information. ...
In this work, we study the possibilities of multimedia management and automatic annotation focused on legal domain. ...
The first one is the extraction of events and concepts from videos and images. ...
doi:10.1007/978-94-007-0120-5_15
fatcat:lwqonemid5frvi6qrwblgi7tk4
Survey on Formal Concept Analysis Based Supervised Classification Techniques
[chapter]
2020
Frontiers in Artificial Intelligence and Applications
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However, with the large volume of data generated from various sources, the process of knowledge extraction with traditional methods becomes difficult. ...
Different approaches have been proposed for supervised classification problems through Formal Concept Analysis, and which is a mathematical theory to build upon hierarchies of formal concepts. ...
The description topics defined as intrinsic concepts in a document are extracted from the recovered documents. ...
doi:10.3233/faia200762
fatcat:a4kasm3cxndxbogzree7mud5fe
A Theoretical Proposition for Spatial Data Infrastructure On-Going Improvement
2020
ISPRS International Journal of Geo-Information
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To reap from this technological boom, the geospatial information community has come up with a pervasive and network enabling concept called spatial data infrastructure (SDI). ...
Over the years, several countries have embraced the SDI concept to shape policy, build and share geospatial information resources. ...
In the case of the reviewed literature, Refs. [3, 4] are specifically acknowledged because data summarized from them have afforded support and credibility to the SDIOGI proposition as a temporal cyclic ...
doi:10.3390/ijgi10010009
fatcat:7u3bovjv3va2jnepqofgtxtxku
Legal NERC with ontologies, Wikipedia and curriculum learning
2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
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However, we find that in this particular setting, the method works best by learning from most specific to most general concepts, not the other way round. ...
In this paper, we present a Wikipediabased approach to develop resources for the legal domain. ...
Moreover, only very few annotated legal corpora exist where entities can be gathered from. All this constitutes an important barrier for Information Extraction from legal text. ...
doi:10.18653/v1/e17-2041
dblp:conf/eacl/CardellinoTAV17
fatcat:zzxrmxw2ezejhlnsjd6c3oumfy
AN ONTOLOGY BASED INTERPRETATION OF LEGAL SECTION FOR DOWRY DEATH CASES IN INDIA
2022
Zenodo
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The authors have proposed an approach to create an-ontology-based description of legal knowledge in terms of entities, relationships, instances, and axioms from textual description of rules corresponding ...
Abstract: Ontology is to describe concepts and their relationships within a domain. ...
Instance (I, H, C) =>kind_of(I,H, C) represents concept C having taxonomic relationships between concepts, which define a concept hierarchy. ...
doi:10.5281/zenodo.6973807
fatcat:4cixne6udfayvbaqriiwnzzdlm
AN ONTOLOGY BASED INTERPRETATION OF LEGAL SECTION FOR DOWRY DEATH CASES IN INDIA
2022
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The authors have proposed an approach to create an-ontology-based description of legal knowledge in terms of entities, relationships, instances, and axioms from textual description of rules corresponding ...
Abstract: Ontology is to describe concepts and their relationships within a domain. ...
Instance (I, H, C) =>kind_of(I,H, C) represents concept C having taxonomic relationships between concepts, which define a concept hierarchy. ...
doi:10.5281/zenodo.6950794
fatcat:ra6gr4qyezfbnb7m4fbwiqzn3u
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