Rabbit: Developing a Control Natural Language for Authoring Ontologies

Hart, Glen; Johnson, Martina; Dolbear, Catherine

doi:10.1007/978-3-540-68234-9_27

Cited by 56 publications

(58 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many systems similar to CLOnE have been developed with the idea to enable ontology authoring using natural language (e.g. ACE [26], Rabbit [24]). …”

Section: Summary and Discussionmentioning

confidence: 99%

Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases

Damljanović

Bontcheva

2009

Web 2.0 &Amp; Semantic Web

View full text Add to dashboard Cite

“…Many systems similar to CLOnE have been developed with the idea to enable ontology authoring using natural language (e.g. ACE [26], Rabbit [24]). …”

Section: Summary and Discussionmentioning

confidence: 99%

Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases

Damljanović

Bontcheva

2009

Web 2.0 &Amp; Semantic Web

View full text Add to dashboard Cite

“…Around 2000, researchers have again started to address the task of building NLIs and a number of well-performing NLIs to databases emerged [35,1,25,57,36,51,30,37]. Considering the difficulties with full NL, it seems comprehensible that restricted natural language or menu-guided interfaces have been proposed by some approaches [7,17,52,71,64,31,38,67,46]. The popularity of the Semantic Web created several NLIs that provide access to ontology-based knowledge bases [41,24,33,49,26,73,30,20,31,38,46].…”

Section: Related Workmentioning

confidence: 99%

“…Considering the difficulties with full NL, it seems comprehensible that restricted natural language or menu-guided interfaces have been proposed by some approaches [7,17,52,71,64,31,38,67,46]. The popularity of the Semantic Web created several NLIs that provide access to ontology-based knowledge bases [41,24,33,49,26,73,30,20,31,38,46]. A large number of these systems base on controlled natural language [12,11,30,31,38,46] and, mostly, propose an alternative editing format to OWL [9,31,38,46].…”

Section: Related Workmentioning

confidence: 99%

Evaluating the Usability of Natural Language Query Languages and Interfaces to Semantic Web Knowledge Bases

Kaufmann

Bernstein

2010

SSRN Journal

View full text Add to dashboard Cite

The need to make the contents of the Semantic Web accessible to end-users becomes increasingly pressing as the amount of information stored in ontology-based knowledge bases steadily increases. Natural language interfaces (NLIs) provide a familiar and convenient means of query access to Semantic Web data for casual end-users. While several studies have shown that NLIs can achieve high retrieval performance as well as domain independence, this paper focuses on usability and investigates if NLIs and natural language query languages are useful from an enduser's point of view. To that end, we introduce four interfaces each allowing a different query language and present a usability study benchmarking these interfaces. The results of the study reveal a clear preference for full natural language query sentences with a limited set of sentence beginnings over keywords or formal query languages. NLIs to ontology-based knowledge bases can, therefore, be considered to be useful for casual or occasional end-users. As such, the overarching contribution is one step towards the theoretical vision of the Semantic Web becoming reality. The need to make the contents of the Semantic Web accessible to end-users becomes increasingly pressing as the amount of information stored in ontology-based knowledge bases steadily increases. Natural language interfaces (NLIs) provide a familiar and convenient means of query access to Semantic Web data for casual end-users. While several studies have shown that NLIs can achieve high retrieval performance as well as domain independence, this paper focuses on usability and investigates if NLIs and natural language query languages are useful from an enduser's point of view. To that end, we introduce four interfaces each allowing a different query language and present a usability study benchmarking these interfaces. The results of the study reveal a clear preference for full natural language query sentences with a limited set of sentence beginnings over keywords or formal query languages. NLIs to ontology-based knowledge bases can, therefore, be considered to be useful for casual or occasional end-users. As such, the overarching contribution is one step towards the theoretical vision of the Semantic Web becoming reality. DOI AbstractThe need to make the contents of the Semantic Web accessible to end-users becomes increasingly pressing as the amount of information stored in ontology-based knowledge bases steadily increases. Natural language interfaces (NLIs) provide a familiar and convenient means of query access to Semantic Web data for casual end-users. While several studies have shown that NLIs can achieve high retrieval performance as well as domain independence, this paper focuses on usability and investigates if NLIs and natural language query languages are useful from an enduser's point of view. To that end, we introduce four interfaces each allowing a different query language and present a usability study benchmarking these interfaces. The results of the study reveal a clear prefer...

show abstract

“…For Web applications requiring stronger access control to avoid malicious changes to the content of the application, additional efforts are required to ensure data and application safety 4 .…”

Section: Strength and Limitationsmentioning

confidence: 99%

“…Currently, we support two CNLs in English, namely Rabbit [4] and Attempto Controlled English (ACE) [7].…”

Section: Data Computationmentioning

confidence: 99%

A Semantic Wiki Based Light-Weight Web Application Model

et al. 2009

View full text Add to dashboard Cite

Abstract. Wikis are a well-known Web 2.0 content management platform. The recent introduction of semantic wikis extends the capabilities of conventional wikis by allowing users to edit and query structured semantic annotations (e.g., categories and typed links) rather than plain wiki text. This new feature, as shown in this paper, supports the provision of a novel, transparent, and light-weight social Web application model. This model enables developers to collectively build Web applications using semantic wikis, supporting such capabilities as data modeling, data management, data processing and data presentation. The source scripts and data of such applications are transparent to Web users. Beyond a generic description for the Web application model, we show two proof-of-concept prototypes, namely RPI Map and CNL (Controlled Natural Language) Wiki, both of which are based on Semantic MediaWiki (SMW).

show abstract

Rabbit: Developing a Control Natural Language for Authoring Ontologies

Cited by 56 publications

References 4 publications

Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases

Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases

Evaluating the Usability of Natural Language Query Languages and Interfaces to Semantic Web Knowledge Bases

A Semantic Wiki Based Light-Weight Web Application Model

Contact Info

Product

Resources

About