Surveying new directions of research and development in the interdisciplinary framework where ontologies and lexical resources intersect, this book deals with the complex relation between lexicons (in different languages) and the underlying ontological model.
In order to exchange knowledge, humans need to share a common lexicon of words as well as
to access the world models underlying that lexicon. What is a natural process for a human turns out to be an extremely hard task for a machine: computers can’t represent knowledge as effectively as humans do, which hampers, for example, meaning disambiguation and communication. Applied ontologies and NLP have been developed to face these challenges. Integrating ontologies with (possibly multilingual) lexical resources is an essential requirement to make human language understandable by machines, and also to enable interoperability and computability across information systems and, ultimately, in the Web.
This book explores recent advances in the integration of ontologies and lexical resources, including questions such as building the required infrastructure (e.g., the Semantic Web) and different formalisms, methods and platforms for eliciting, analyzing and encoding knowledge contents (e.g., multimedia, emotions, events, etc.). The contributors look towards next-generation technologies, shifting the focus from the state of the art to the future of Ontologies and Lexical Resources. This work will be of interest to research scientists, graduate students, and professionals in the fields of knowledge engineering, computational linguistics, and semantic technologies.
Arvustused
From the reviews:
This exquisite collection of really trendsetting research is captivating reading for any student, scholar, or engineer interested in the growing field of semantic technologies and the semantic web. The book is recommended as mandatory reading for all serious NLP and semantic web students and experts. (Mariana Damova, Computing Reviews, September, 2013)
1.Introduction.- A.Oltramari, L.Qin, P.Vossen, E.Hovy.- Part I Achieving
the Interoperability of Linguistic Resources in the Semantic Web.- 2.Towards
Open Data for Linguistics: Linguistic Linked Data. C.Chiarcos, J.McCrae,
P.Cimiano, and C.Fellbaum.- 3.Establishing Interoperability between
Linguistic and Terminological Ontologies. W.Peters.- 4.On the Role of Senses
in the Ontology-Lexicon. P.Cimiano, J.McCrae, P.Buitelaar,
E.Montiel-Ponsoda.- Part II Event Analysis from Text and Multimedia.-
5.KYOTO: a Knowledge-rich Approach to the Interoperable Mining of Events From
Text. P.Vossen, E.Agirre, G.Rigau and A.Soroa.- 6.Anchoring Background
Knowledge to Rich Multimedia Contexts in the KNOWLEDGESTORE. R. Cattoni, F.
Corcoglioniti, C. Girardi, B. Magnini, L. Serafini, and R. Zanoli.- 7.Lexical
Mediation for Ontology-based Annotation of Multimedia. M.Cataldi, R.Damiano,
V.Lombardo and A.Pizzo.- 8.Knowledge in Action: Integrating Cognitive
Architectures and Ontologies. A.Oltramari, C.Lebiere.- Part III Enhancing NLP
with Ontologies.- 9.Use of Ontology, Lexicon and Fact Repository for
Reference Resolution in Ontological Semantics. M.McShane and S.Nirenburg.-
10.Ontology-based Semantic Interpretation via Grammar Constraints.
S.Muresan.- 11.How Ontology Based Information Retrieval Systems may Benefit
from Lexical Text Analysis. S.Ranwez, B.Duthil, M.F.Sy, J.Montmain,
P.Augereau and V.Ranwez.- Part IV Sentiment Analysis thorugh Lexicon and
Ontologies.- 12.Detecting Implicit Emotion Expressions from Text Using
Ontological Resources and Lexical Learning. A.Balahur, J.M. Hermida and
H.Tanev.- 13.The Agile Cliché: Using Flexible Stereotypes as Building Blocks
in the Construction of an Affective Lexicon. T.Veale.
