Conference Paper

LKMS – A Legal Knowledge Management System Exploiting Semantic Web Technologies

DOI: 10.1007/11574620_62 Conference: The Semantic Web - ISWC 2005, 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 2005, Proceedings
Source: DBLP


Semantic Web, using formal languages to represent document content and providing facilities for aggregating information spread
around, can improve the functionalities provided nowadays by KM tools. This paper describes a Knowledge Management system,
targeted at lawyers, which has been enhanced using Semantic Web technologies. The system assists lawyers during their everyday
work, and allows them to manage their information and knowledge. A semantic layer has been added to the system, providing
capabilities that make system usage easier and much more powerful, adding new and advanced means for create, share and access

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    • "The proposed method does not identify promptly the unique concepts and relations. Gilardoni et al. (2005) provided integration of keyword based search with ontology search, but with no capability for Boolean queries. Hybrid search is implemented by some large companies in industry. "

    Full-text · Conference Paper · Oct 2014
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    • "In the legal domain there is a lot of ongoing work [21] and specially some approaches that apply semantic web technologies. Gilardoni et al. [22] have developed a system which adds a semantic layer to a knowledge management system to assist lawyers in their work. That approach is complementary to our approach in the sense that our focus is to help citizens in general to find legal documents. "
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    ABSTRACT: In this paper, we apply Semantic Web technologies to the creation of an improved search engine over legal and public administration documents. Con- ventional search strategies based on syntactic matching of tokens offer little help when the users' vocabulary and the documents' vocabulary di ffer. This is often the case in public administration documents. We present a semantic search tool that fills this gap using Semantic Web technologies, in particula r, ontologies and con- trolled vocabularies, and a hybrid search approach, avoiding the expensive tagging of documents.
    Full-text · Conference Paper · Jan 2006
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    • "subject, predicate, object, complements) and linguistic features of the document content. NLP techniques are able to complement the pattern matching methods, improving and disambiguating the meaning of lexicons in the document [7]; -Layout Processing exploits the document layout for information extraction. Quite often, documents of the same business or domain of knowledge have similar layouts, even if their internal structural code is different. "
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    ABSTRACT: contexts, projects and application areas. In order to present a clear definition of terms, sci- entific and commercial projects are related to the processes each one is expected to support in the semantic web anno- tation tasks.
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