By M. Manuela Cunha, Eva F. Oliveira, Antonio J. Tavares, Luis G. Ferreira

The impression of IT on society, agencies, and contributors is starting to be because the energy of the internet harnesses collective intelligence and information. The instruction manual of study on Social Dimensions of Semantic applied sciences and internet prone discusses the most concerns, demanding situations, possibilities, and developments on the topic of this new expertise, reworking the best way we use details and information. This guide of study is a superb source for researchers, academicians, and pros with an curiosity in those major applied sciences.

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Handbook of Research on Social Dimensions of Semantic Technologies and Web Services

The impression of IT on society, corporations, and members is transforming into because the strength of the internet harnesses collective intelligence and information. The guide of study on Social Dimensions of Semantic applied sciences and internet providers discusses the most concerns, demanding situations, possibilities, and traits regarding this new know-how, reworking the best way we use details and information.

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One implementation of a pure semantic approach to knowledge representation is represented by Hierarchical Temporal Memory (HTM) (Hawkins, 2007), while another solution (Kharlamov, 2004) relies on the Hopfield-like neural networks. In the applications based on semantic techniques, the understanding of represented data and user’s requests is not borrowed from database (knowledge base, ontology) designers and programmers, but represents an intrinsic capability of the application provided by the corresponding algorithm, which is used to interpret the meaning of the represented knowledge.

Records added to StudentCar table S tudentC ar S tudentID long C arID long StudentID CarID 1 1 1 2 2 3 7 Semantic Approach to Knowledge Representation and Processing mary and foreign keys and defining all necessary indexes. Furthermore, in a real-life database design, normalization theory must be applied to avoid undesirable update anomalies. Notice that this small database can be used only to represent the restricted information related to students and their cars and if we want to represent some other data, for instance, a list of exams John and Bill have passed, then this simple database must be redesigned by adding new tables, new fields and new primary and foreign keys.

These records describe the facts that John has a red car, with license plate number “123 ABC”, and a green car, with plate number “456 DEF”, and that Bill has a black car, with license plate number “789 GHI”. The design process in this simple example is comprised of naming the tables and the corresponding fields, determining data types, pri- C arID long P lateNo char[10] C olor char[20] CarID PlateNo Color 1 123 ABC red 2 456 DEF green 3 789 GHI black Table 3. Records added to StudentCar table S tudentC ar S tudentID long C arID long StudentID CarID 1 1 1 2 2 3 7 Semantic Approach to Knowledge Representation and Processing mary and foreign keys and defining all necessary indexes.

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