A Method for Searching Documents using Knowledge Bases

Aso, Taro; Amagasa, Toshiyuki; Kitagawa, Hiroyuki

doi:10.1145/3487664.3487699

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Abebi v. Pierre illustrates a complex system of information structure that most likely will not lend itself to traditional query engines such as keyword search, layered indexing, and other techniques discussed earlier, to produce the documents these litigants seek. More novel approaches based on knowledge graphs [5,7,11] or knowledge driven querying of digital documents [2,12] were not shown to be effective in the type of search we are interested in. We therefore propose a document authoring and engineering model to enrich legal documents with meta-information at creation time so that improved semantic search becomes possible.…”

Section: Document Understanding Using Prismmentioning

confidence: 99%

Semantic Querying of Knowledge Rich Legal Digital Libraries Using Prism1

Jamil

2022

Frontiers in Artificial Intelligence and Applications

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Contemporary legal digital libraries such as Lexis Nexis and WestLaw allow users to search case laws using sophisticated search tools. At its core, various forms of keyword search and indexing are used to find documents of interest. While newer search engines leveraging semantic technologies such as knowledgebases, natural language processing, and knowledge graphs are becoming available, legal databases are yet to take advantage of them fully. In this paper, we introduce an experimental legal document search engine, called Prism, that is capable of supporting legal argument based search to support legal claims.

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Section: Document Understanding Using Prismmentioning

confidence: 99%