Open Source Linux Search Software

The semantic annotation system OPTIMA is the result of Andreas Vlachidis PhD work, (supervised by Prof. Douglas Tudhope, University of Glamorgan, UK). OPTIMA performs the NLP tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word Sense Disambiguation using hand-crafted rules and SKOS terminological resources (English Heritage Thesauri and Glossaries). The resulted semantic annotations are associated with classes of the (ISO 21127:2006) CIDOC Conceptual Reference Model (CRM) and its archaeological extension, CRM-EH. OPTIMA is also targeted at the detection and recognition of contextual relations between CRM entities. Such relations are modeled with respect to the CRM-EH archaeology extension. The pipeline targets the CIDOC-CRM entities; E19.Physical_Object, E53.Place, E49.Time_Appellation and E57.Material and the CRM-EH entities; EHE1001.Context_Event, EHE1002.Production_Event, EHE1004.Deposition_Event and P45.consists_of material property

bnf2xml a simple BNF parser that takes text as input, searches according to a BNF query file, and outputs text marked up by the xml labels that show context. bnf2xml is as simple to use as any text binary ie, awk(1) grep(1). bnf2xml does not require C API because it outputs simple xml labeling. README is visible on file dl page. EXAMPLE: $ echo "hi" | bnf2xml patternfile <word><alph>h</alph><alph>i</alph></word> or <gas>hydrogen iodide</gas> patternfile says how to find needle in haystack and what to show, ie: <alph> ::= a | b | c | d ... <word> ::= <alph>+ bnf2xml is a top down recursive parser. Unlike buttom up parsers like gcc(1) or some top downs, bnf2xml is completely unambiguous / resolves ALL conflicts. Slower on ave. for parsing C or than sed(1) for simple searches. Far easier than using flex/C to create a parser. caveate: I do not suggest it's worth while to make a new gcc(1) using bnf2xml. bnf2xml an nth BETA release, but no complains yet.

This package contains different tools to add NLP capabilities for Lucene 4.x (it has been tested using Lucene version from 4.6.x to 4.8.1). Although it was originally developed for German, it is, mostly, language independent. It allows the user to lemmatize words to be indexed, to weight termy ba their parts of speech (e.g. weighting nouns mor hevaily than pronouns), and to add synonyms taken from GermaNet or a list you provide to the search index and thereby increase recall of lucene.