Abstract | ||
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The present paper describes a large-scale lexical resource for the biology domain designed both for human and for machine use. This lexicon aims at semantic interoperability and extendability, through the adoption of ISO-LMF standard for lexical representation and through a granular and distributed encoding of relevant information. The first part of this contribution focuses on three aspects of the model that are of particular interest to the biology community: the treatment of term variants, the representation on bio events and the alignment with a domain ontology. The second part of the paper describes the physical implementation of the model: a relational database equipped with a set of automatic uploading procedures. Peculiarity of the BioLexicon is that it combines features of both terminologies and lexicons. A set verbs relevant for the domain is also represented with full details on their syntactic and semantic argument structure. |
Year | DOI | Venue |
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2007 | 10.1007/978-3-642-04235-5_28 | Human Language Technology. Challenges of the Information Society |
Keywords | Field | DocType |
iso-lmf standard,bio domain,domain ontology,lexical representation,semantic argument structure,large-scale lexical resource,present paper,standard lexical-terminological resource,semantic interoperability,relevant information,biology community,biology domain,relational database | Ontology,Relational database,Information retrieval,Computer science,Lexical database,Upload,Semantic interoperability,Lexicon,Natural language processing,Artificial intelligence,Syntax,Encoding (memory) | Conference |
Volume | ISSN | Citations |
5603 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 12 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Valeria Quochi | 1 | 68 | 8.54 |
Riccardo Del Gratta | 2 | 85 | 12.56 |
Eva Sassolini | 3 | 2 | 2.81 |
Roberto Bartolini | 4 | 2 | 2.10 |
Monica Monachini | 5 | 48 | 6.03 |
Nicoletta Calzolari | 6 | 1089 | 264.88 |