Ontology-Based Representation and Query Colour Descriptions from Botanical Documents

A proper representation of the semantics of colour descriptions is necessary when colour information needs to be processed semantically, such as in the area of information integration. Semantics–based methods can help information from different sources to be integrated more easily and make final results more accurate and understandable among different sources. This paper introduces an ontology–based representation of the semantics of colour descriptions. By using a quantitative colour model and a Description Logic (DL) with datatype support, the semantics of a single colour term can be represented. Multiple such terms are then combined to generate the semantics of a complex colour description, which is interpreted by using morpho–syntactic rules derived from the analysis of colour descriptions in botanical documents. A colour reasoner, interacting with the FaCT-DG DL reasoner, can support colour–related queries and give domain–oriented results.

[1]  Yorick Wilks,et al.  Information Extraction: Beyond Document Retrieval , 1998, Int. J. Comput. Linguistics Chin. Lang. Process..

[2]  Diana Maynard,et al.  Populating a Database from Parallel Texts Using Ontology-Based Information Extraction , 2004, NLDB.

[3]  M. L. Fernald,et al.  The New Gray's Manual@@@Gray's Manual of Botany , 1950 .

[4]  Umberto Straccia,et al.  Transforming Fuzzy Description Logics into Classical Description Logics , 2004, JELIA.

[5]  Zahir Tari,et al.  On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE , 2002, Lecture Notes in Computer Science.

[6]  Antonis C. Kakas,et al.  Computational Logic: Logic Programming and Beyond , 2002, Lecture Notes in Computer Science.

[7]  Jeff Z. Pan.  Description Logics: Reasoning Support for the Semantic Web , 2004 .

[8]  Christopher Tresp,et al.  A Description Logic for Vague Knowledge , 1998, ECAI.

[9]  Simon C. Dik,et al.  Coordination: its implications for the theory of general linguistics , 1968 .

[10]  C. Stace,et al.  New Flora Of The British Isles , 1998 .

[11]  Ray Denenberg,et al.  Report from the Joint W3C/IETF URI Planning Interest Group: Uniform Resource Identifiers (URIs), URLs, and Uniform Resource Names (URNs): Clarifications and Recommendations , 2002, RFC.

[12]  York Sure-Vetter,et al.  Ontology-Based Information Integration in the Automotive Industry , 2003, SEMWEB.

[13]  Ian Horrocks,et al.  OWL-Eu: Adding Customised Datatypes into OWL , 2005, ESWC.

[14]  Ian Horrocks,et al.  Web Ontology Reasoning with Datatype Groups , 2003, SEMWEB.

[15]  Carole A. Goble,et al.  Transparent access to multiple bioinformatics information sources , 2001, IBM Syst. J..

[16]  Gernot Salzer,et al.  Efficient Algorithms for Constraint Description Problems over Finite Totally Ordered Domains: Extended Abstract , 2004, IJCAR.

[17]  David R. Dowty,et al.  Word Meaning and Montague Grammar , 1979 .

[18]  Alexandra Poulovassilis,et al.  Combining data integration with natural language technology for the semantic web , 2003 .

[19]  Diana Maynard,et al.  Using parallel texts to improve recall in IE. , 2004 .

[20]  J. Gielis.  A generic geometric transformation that unifies a wide range of natural and abstract shapes. , 2003, American journal of botany.

[21]  David A. Ferrucci,et al.  UIMA: an architectural approach to unstructured information processing in the corporate research environment , 2004, Natural Language Engineering.

[22]  H. A. Gleason,et al.  The New Britton and Brown Illustrated Flora of the Northeastern United States and Adjacent Canada, Volume 2. , 1952 .

[23]  Steffen Staab,et al.  Bootstrapping an ontology-based information extraction system for the web , 2003 .

[24]  Janusz Kacprzyk,et al.  Intelligent Exploration of the Web , 2003, Studies in Fuzziness and Soft Computing.

[25]  David E. Millard,et al.  Automatic Ontology-Based Knowledge Extraction from Web Documents , 2003, IEEE Intell. Syst..

[26]  Diego Calvanese,et al.  Description Logics for Information Integration , 2002, Computational Logic: Logic Programming and Beyond.

[27]  “Flora Europaea” , 1959, Nature.

[28]  Steffen Staab,et al.  Bootstrapping an Ontology-Based Information Extraction System , 2003, Intelligent Exploration of the Web.

[29]  John Mylopoulos,et al.  The Semantic Web - ISWC 2003 , 2003, Lecture Notes in Computer Science.

[30]  J. Lammens.  A computational model of color perception and color naming , 1995 .

[31]  Ian Horrocks,et al.  Extending Datatype Support in Web Ontology Reasoning , 2002, OTM.

[32]  Frank Wolter,et al.  Semi-qualitative Reasoning about Distances: A Preliminary Report , 2000, JELIA.

[33]  Arie E. Kaufman,et al.  A human factors study of color notation systems for computer graphics , 1982, CACM.

[34]  Heiner Stuckenschmidt,et al.  Ontology-Based Integration of Information - A Survey of Existing Approaches , 2001, OIS@IJCAI.

[35]  A. Fitter,et al.  Flora Europaea Vol. 4, edited by T. G. Tutin, V. H. Heywood, N. A. Burges, D. M. Moore, D. H. Valentine, S. M. Walters, and D. A. Webb. Cambridge University Press, £25. , 1977, Oryx.

[36]  Kaufman,et al.  A New Color-Namiing System for Graphics Languages , 1982, IEEE Computer Graphics and Applications.

[37]  Merritt Lyndon Fernald,et al.  Gray's Manual of Botany. , 1951 .

[38]  Jeff Z. Pan,et al.  A Fuzzy Description Logic for Multimedia Knowledge Representation , 2005 .

[39]  L. Stein,et al.  OWL Web Ontology Language - Reference , 2004 .

[40]  David W. Embley,et al.  Ontology-based extraction and structuring of information from data-rich unstructured documents , 1998, CIKM '98.

[41]  A. R. Clapham,et al.  Flora of the British Isles , 1962 .

[42]  Ian Horrocks,et al.  A software framework for matchmaking based on semantic web technology , 2003, WWW '03.