INFORMATION RETRIEVAL SEMANTIC WEB

The image retrieval and semantic extraction play an important role in the multimedia systems such as geographic information system, hospital information system, digital library system, etc. Therefore, the research and development of semantic-based image retrieval (SBIR) systems have become extremely[r]

Now that you understand the need to markup a Web page using ontologies, you might wonder what a mark up looks like. This is the topic of this chapter, but here is a sneak preview: a markup file is normally a Resource Description Framework (RDF) document containing RDF statements that descri[r]

In this study, we adopt the SHIQ DLs presented by Li and Horrocks (2004). They argue that SHIQ’s expressive power made it to be equivalent to DAML+Ontology Inference Layer (OIL). In addi- tion, OWL is based on the SH family of descrip- tion logics which supports Boolean connectives, includ[r]

Tài liệu tham khảo công nghệ thông tin Nghiên cứu, tìm hiểu và xây dựng ứng dụng với Semantic web

Tài liệu tham khảo công nghệ thông tin Nghiên cứu, tìm hiểu và xây dựng ứng dụng với SEMANTIC WEB

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OWL được xem như là một kỹ thuật trọng yếu để cài đặt cho Semantic Web trong tương lai. OWL được thiết kế đặc biệt để cung cấp một cách thức thông dụng trong việc xử lý nội dung thông tin của Web. Ngôn ngữ này được kỳ vọng rằng sẽ cho phép các hệ thống máy tính có thể đ[r]

We will use the N3 format RDF file data/news.n3 for examples in this chapter. We use the N3 format because it is easier to read and understand. There is an equivalent N-Triple format file data/news.nt because AllegroGraph does not currently support loading N3 files. I created these files automatical[r]

Về loạt bài viết
Dường như bạn không thể vào Web mà không vào một trang Web hoặc là cung cấp cho bạn quyền truy cập dữ liệu của nó thông qua một dịch vụ Web có gốc API hoặc là sử dụng dữ liệu từ trang web khác lấy từ một dịch vụ Web có gốc API. Khi bạn xem xét[r]

80 SUMMARY 80 CHAPTER 4: INFORMATION RETRIEVAL 81 TRANG 14 _Table of Contents_ [ III ] INFORMATION RETRIEVAL USING TF-IDF 82 Measures of similarity 84 Generating a PDF from a histogram 8[r]

• Several Data Entry worksheets may be available for a given database, in order to insert different data elements. • Each time the record[r]

Lee, S.C., Pak, B.Y., & Lee, H.G. (2003). Business value of B2B electronic commerce: the critical role
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ogy languages and onto[r]

Furthermore, a holistic word spotting method, in-variant to geometric transformations of translation, scale, and rotation, is proposed to facilitate fast retrieval for degraded scanned d[r]

format, including standardization of semantics, validation ability and ‘well-formedness’, ease of use, re-use, and storage. In addition, the ability to exchange complete XML documents in W3C standards affords integration on heterogeneous platforms. All exchanges between agents take place usin[r]

5.6.4 Update
So far, we have assumed that indexing is a batch process. This means that a set of documents is given to the indexer as input, the indexer builds the index, and then the system allows users to run queries. In practice, most interesting document col- lections are constantly changing. A[r]

2.1.8 Nhận xét chung về các công trình nghiên cứu semantic web trong nước
Nhìn chung, các công trình nghiên cứu về web ngữ nghĩa đã đạt được những thành công bước đầu như : xây dựng ontology, xây dựng ứng dụng... Tuy nhiên, những công trình này vẫn chưa[r]

Nghiên cứu, tìm hiểu và xây dựng ứng dụng với semantic web

based on Equation 7.21, we immediately generate an image list based on the probability P (f i | w j ). Finally, we merge the m ranked lists as the final re- trieval result based on the posterior probability P (f i | w j )P (w j | q f ). Clearly, for a general query consisting of words and images,[r]

The Amalgam system discussed here is a sentence realization system which maps a semantic representation to a surface syntactic
tree via intermediate syntactic representations. The mappings are performed with linguistic operations, the context for which is primarily machine-learned. The resu[r]

or describe semantic objects in images. The difficulty of the problem arises from the different nature of the features used as described in [6, 7]. Different features are extracted using different algorithms and the corresponding descriptors have individually specific syntaxes. The unavoidable e[r]

Semantics and ontologies are important to application integration solutions because they provide a shared and common understanding of data, services, and processes that exist within an application integration problem domain, and how to facilitate communication between people and information[r]