[Top] [All Lists]

[ontolog-forum] RuleML 2014 Call "Rules and Human Language Technology"

To: ontolog-forum@xxxxxxxxxxxxxxxx
From: "Adrian Paschke" <Adrian.Paschke@xxxxxx>
Date: Tue, 4 Mar 2014 17:31:14 +0100
Message-id: <trinity-7ebd9276-4144-4c7f-9baf-a9956f42924f-1393950674170@3capp-gmx-bs20>

Call for Papers: Rules and Human Language Technology
RuleML 2014 Special Track: Rules and Human Language Technology
(Whole RuleML call 
on http://ruleml2014.vse.cz/rules-and-human-language-technology ) (collocated 
with Ecai 2014 
: http://www.ecai2014.org/ruleml/[http://www.ecai2014.org/ruleml/] ;)
Over the last decade, there has been enormous growth in open, web-based 
distribution of textual material from business, legal, and government 
communities concerning constructs such as contracts, business processes, legal 
cases, regulations, policies, legislation, health services, and citizen 
information sources. Unstructured or semi-structured textual material makes up 
a large portion of what is now called Big Data. In addition, there have been 
dramatic improvements in the effectiveness and accuracy of Natural Language 
Processing (NLP) and, more broadly, Human Language Technologies (HLT), 
accompanied by a significant expansion of the HLT community itself. In 
parallel, there have been substantial developments in machine-readable, 
knowledge-based semantic representations. For instance, a recent RuleML-OASIS 
collaboration led to LegalRuleML, which bridges between legal sources and 
formal rules.
Nevertheless, there is a substantial knowledge-acquisition bottleneck in using 
HLT to translate from the textual content of Big Data to machine-readable, 
knowledge-based semantic representations (and from formal representations back 
to text). Consequently, the research and industrial communities cannot make 
full use of the abundance of information available in Big Data to scale up such 
representations. By the same token, how the representations can be applied is 
limited. While there have been some efforts to address the bottleneck (e.g. 
controlled languages such as Executable English, SBVR, or ACE) and advanced 
parsers with semantic translation (e.g. C&C/Boxer), much more remains to be 
done. The Special Track is intended to focus attention on the issues, provide 
an outlet for current work, and be a forum for the exchange of ideas.
The Special Track is relevant to a range of communities (e.g., in Business, 
Law, and Government), who are concerned with translating between human language 
and formal rules. For example, in the BRMS community, there is growing 
interest in acquiring and maintaining rules extracted from textual documents 
such as contracts, public or internal regulations of corporations, and policy 
documents. Similarly, the requirements engineering community is interested in 
acquiring requirements from texts and generating rules to check the software 
behavior. The concerns of the Special Track also bear on work in decision 
support and process modeling communities.
Papers of interest in the Special Track will (typically) relate to the 
translation of texts that are descriptive (e.g., statements of facts and rules 
on facts) or prescriptive (e.g., statements of obligations or prohibitions in 
laws, regulations, or policies) to or from semantic representations.
- Natural language interfaces for rule languages, editors, engines, and use 
- Development of language resources, e.g. terminologies, thesauri, ontologies, 
and corpora
- Ontologies and vocabularies for business rules
- Information retrieval and extraction from textual corpora
- Semantic annotation of textual corpora
- Multilingual aspects of processing texts
- Rule-mining techniques and applications
- Close analysis of the alignment between linguistic expressions and rule 
- Automatic Classification of documents in corpora
- Parsing of natural language expressions into machine-readable, 
knowledge-based semantic representations- Generation of natural language from 
those representations
- Translatability of the diverse human languages to formal rules
- Controlled languages (e.g., Executable English, ACE, SBVR, CLCE, RECON) as 
sources, targets, or intermediaries for rule acquisition grounded in business, 
legal, or government textual corpora
- Logical formalisms for human language representation (e.g., Discourse 
Representation Structures, the feature structures of phrase structure grammars, 
and the defeasible deontic logic of LegalRuleML)
- Epistemological and computational properties of HLT target formalisms
- Metrics for capturing the correspondence between text and rules (e.g., 
notions of 'isomorphism' between legal text and rules)
- The relationship between semantic representation and interpretation.
Francois Levy Francois.Levy@xxxxxxxxxxxxxxxxxxxx (LIPN, University of Paris, 
France) and Adam Wyner adam@xxxxxxxxxx (University of Aberdeen, UK) Important 
Dates for RuleML (including the special tracks)
Abstract submission:
March 31, 2014
Paper submission:
April 8, 2014
May 20, 2014
Camera ready:
June 6, 2014
RuleML 2014 dates:
August 18-20, 2014
Submission guidelines
Papers must be original contributions written in English and must be submitted 
at EasyChair 
 for the special track as:
Full Papers (15 pages in the proceedings)Short Papers (8 pages in the 
Please upload all submissions in LNCS format 
 To ensure high quality, submitted papers will be carefully peer-reviewed by 3 
PC members based on originality, significance, technical soundness, and clarity 
of exposition. Accepted papers will be published in book form in the Springer 
Lecture Notes in Computer Science (LNCS) series 
http://www.springer.com/lncs[http://www.springer.com/lncs] with the RuleML 
main track proceedings.

Message Archives: http://ontolog.cim3.net/forum/ontolog-forum/  
Config Subscr: http://ontolog.cim3.net/mailman/listinfo/ontolog-forum/  
Unsubscribe: mailto:ontolog-forum-leave@xxxxxxxxxxxxxxxx
Shared Files: http://ontolog.cim3.net/file/
Community Wiki: http://ontolog.cim3.net/wiki/ 
To join: http://ontolog.cim3.net/cgi-bin/wiki.pl?WikiHomePage#nid1J    (02)

<Prev in Thread] Current Thread [Next in Thread>
  • [ontolog-forum] RuleML 2014 Call "Rules and Human Language Technology", Adrian Paschke <=