Cantitate/Preț
Produs

Information Extraction in the Web Era: Natural Language Communication for Knowledge Acquisition and Intelligent Information Agents: Lecture Notes in Computer Science, cartea 2700

Editat de Maria Teresa Pazienza
en Limba Engleză Paperback – 29 iul 2003
The number of research topics covered in recent approaches to Information - traction (IE) is continually growing as new facts are being considered. In fact, while the user’s interest in extracting information from texts deals mainly with the success of the entire process of locating, in document collections, facts of interest, the process itself is dependent on several constraints (e.g. the domain, the collection dimension and location, and the document type) and currently it tackles composite scenarios, including free texts, semi- and structured texts such as Web pages, e-mails, etc. The handling of all these factors is tightly related to the continued evolution of the underlying technologies. In the last few years, in real-world applications we have seen the need for scalable, adaptable IE systems (see M.T.Pazienza, “InformationExtraction: Towards Scalable Adaptable Systems”, LNAI 1714) to limit the need for human intervention in the customization process and portability of the IE application to new domains. Scalability and adaptability requirements are still valid impacting features and get more relevance into a Web scenario, where in intelligent information agents are expected to automatically gather information from heterogeneous sources.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 29230 lei

Preț vechi: 36537 lei
-20% Nou

Puncte Express: 438

Preț estimativ în valută:
5594 5811$ 4647£

Carte tipărită la comandă

Livrare economică 01-15 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783540405795
ISBN-10: 3540405798
Pagini: 184
Ilustrații: XIII, 166 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.27 kg
Ediția:2003
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Information Extraction in the Web Era.- Acquisition of Domain Knowledge.- Terminology Mining.- Measuring Term Representativeness.- Finite-State Approaches to Web Information Extraction.- Agents Based Ontological Mediation in IE Systems.- On the Role of Information Retrieval and Information Extraction in Question Answering Systems.- Natural Language Communication with Virtual Actors.