ORCID Profile
0000-0002-6955-7718
Current Organisation
Vienna University of Economics and Business
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Publisher: Elsevier BV
Date: 05-2022
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer Nature Switzerland
Date: 2023
Publisher: Cambridge University Press (CUP)
Date: 2019
DOI: 10.1017/S0269888919000195
Abstract: The extraction and processing of temporal expressions (TEs) in textual documents have been extensively studied in several domains however, for the legal domain it remains an open challenge. This is possibly due to the scarcity of corpora in the domain and the particularities found in legal documents that are highlighted in this paper. Considering the pivotal role played by temporal information when it comes to analyzing legal cases, this paper presents TempCourt, a corpus of 30 legal documents from the European Court of Human Rights, the European Court of Justice, and the United States Supreme Court with manually annotated TEs. The corpus contains two different temporal annotation sets that adhere to the TimeML standard, the first one capturing all TEs and the second dedicated to TEs that are relevant for the case under judgment (thus excluding dates of previous court decisions). The proposed gold standards are subsequently used to compare ten state-of-the-art cross-domain temporal taggers, and to identify not only the limitations of cross-domain temporal taggers but also limitations of the TimeML standard when applied to legal documents. Finally, the paper identifies the need for dedicated resources and the adaptation of existing tools, and specific annotation guidelines that can be adapted to different types of legal documents.
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer International Publishing
Date: 2017
Publisher: Association for Computing Machinery (ACM)
Date: 02-07-2021
DOI: 10.1145/3447772
Abstract: In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting erse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-based data models, as well as languages used to query and validate knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We conclude with high-level future research directions for knowledge graphs.
Publisher: Springer International Publishing
Date: 2017
Publisher: Springer Berlin Heidelberg
Date: 2018
Publisher: Springer International Publishing
Date: 2019
Publisher: Springer International Publishing
Date: 2021
Publisher: Springer International Publishing
Date: 2017
Publisher: MDPI AG
Date: 19-09-2023
DOI: 10.3390/INFO14090515
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Springer International Publishing
Date: 2018
Publisher: Elsevier BV
Date: 11-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Publisher: Springer International Publishing
Date: 2019
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 25-02-2021
DOI: 10.1007/S10506-021-09282-8
Abstract: The European Union is working towards harmonizing legislation across Europe, in order to improve cross-border interchange of legal information. This goal is supported for instance via standards such as the European Law Identifier (ELI) and the European Case Law Identifier (ECLI), which provide technical specifications for Web identifiers and suggestions for vocabularies to be used to describe metadata pertaining to legal documents in a machine readable format. Notably, these ECLI and ELI metadata standards adhere to the RDF data format which forms the basis of Linked Data, and therefore have the potential to form a basis for a pan-European legal Knowledge Graph. Unfortunately, to date said specifications have only been partially adopted by EU member states. In this paper we describe a methodology to transform the existing legal information system used in Austria to such a legal knowledge graph covering different steps from modeling national specific aspects, to population, and finally the integration of legal data from other countries through linked data. We demonstrate the usefulness of this approach by exemplifying practical use cases from legal information search, which are not possible in an automated fashion so far.
Publisher: Association for Computing Machinery (ACM)
Date: 14-11-2022
DOI: 10.1145/3507910
Abstract: The study of autonomous agents has a long history in the Multiagent System and the Semantic Web communities, with applications ranging from automating business processes to personal assistants. More recently, the Web of Things (WoT), which is an extension of the Internet of Things (IoT) with metadata expressed in Web standards, and its community provide further motivation for pushing the autonomous agents research agenda forward. Although representing and reasoning about norms, policies, and preferences is crucial to ensuring that autonomous agents act in a manner that satisfies stakeholder requirements, normative concepts, policies, and preferences have yet to be considered as first-class abstractions in Web-based multiagent systems. Towards this end, this article motivates the need for alignment and joint research across the Multiagent Systems, Semantic Web, and WoT communities, introduces a conceptual framework for governance of autonomous agents on the Web, and identifies several research challenges and opportunities.
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: IEEE
Date: 08-2018
Start Date: 2020
End Date: 2020
Funder: European Cooperation in Science and Technology
View Funded ActivityStart Date: 2019
End Date: 2023
Funder: European Commission
View Funded ActivityStart Date: 2010
End Date: 2013
Funder: Irish Research Council
View Funded ActivityStart Date: 2017
End Date: 2019
Funder: European Commission
View Funded Activity