Coverart for item
The Resource Ontology learning and population from text : algorithms, evaluation and applications, by Philipp Cimiano, (electronic book)

Ontology learning and population from text : algorithms, evaluation and applications, by Philipp Cimiano, (electronic book)

Label
Ontology learning and population from text : algorithms, evaluation and applications
Title
Ontology learning and population from text
Title remainder
algorithms, evaluation and applications
Statement of responsibility
by Philipp Cimiano
Creator
Subject
Language
eng
Summary
Standard formalisms for knowledge representation such as RDFS or OWL have been recently developed by the semantic web community and are now in place. However, the crucial question still remains: how will we acquire all the knowledge available in people's heads to feed our machines? Natural language is THE means of communication for humans, and consequently texts are massively available on the Web. Terabytes and terabytes of texts containing opinions, ideas, facts and information of all sorts are waiting to be mined for interesting patterns and relationships, or used to annotate documents to facilitate their retrieval. A semantic web which ignores the massive amount of information encoded in text, might actually be a semantic, but not a very useful, web. Knowledge acquisition, and in particular ontology learning from text, actually has to be regarded as a crucial step within the vision of a semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications presents approaches for ontology learning from text and will be relevant for researchers working on text mining, natural language processing, information retrieval, semantic web and ontologies. Containing introductory material and a quantity of related work on the one hand, but also detailed descriptions of algorithms, evaluation procedures etc. on the other, this book is suitable for novices, and experts in the field, as well as lecturers. Datasets, algorithms and course material can be downloaded at http://www.cimiano.de/olp. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is designed for practitioners in industry, as well researchers and graduate-level students in computer science
Member of
Is part of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Cimiano, Philipp.
Dewey number
006.331
Illustrations
illustrations
Index
index present
LC call number
QA76.76.E95
LC item number
C54 2006eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Knowledge acquisition (Expert systems)
  • Ontology
  • Computational linguistics
  • Natural language processing (Computer science)
  • Information retrieval
  • Semantic Web
  • Computer science
Label
Ontology learning and population from text : algorithms, evaluation and applications, by Philipp Cimiano, (electronic book)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Preliminaries -- Ontologies -- Ontology Learning from Text -- Basics -- Datasets -- Methods and Applications -- Concept Hierarchy Induction -- Learning Attributes and Relations -- Population -- Applications -- Conclusion -- Contribution and Outlook -- Concluding Remarks
Control code
SPR209919129
Dimensions
unknown
Extent
1 online resource (xxviii, 347 pages)
Form of item
online
Isbn
9780387306322
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
Label
Ontology learning and population from text : algorithms, evaluation and applications, by Philipp Cimiano, (electronic book)
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Preliminaries -- Ontologies -- Ontology Learning from Text -- Basics -- Datasets -- Methods and Applications -- Concept Hierarchy Induction -- Learning Attributes and Relations -- Population -- Applications -- Conclusion -- Contribution and Outlook -- Concluding Remarks
Control code
SPR209919129
Dimensions
unknown
Extent
1 online resource (xxviii, 347 pages)
Form of item
online
Isbn
9780387306322
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote

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