What Is the Role of the Semantic Layer Cake for Guiding the Use of Knowledge Representation and Machine Learning in the Development of the Semantic Web?
نویسندگان
چکیده
The World Wide Web Consortium (W3C) has been the consolidator for many ideas regarding the evolution of the World Wide Web (WWW), including the promotion of the so-called “Semantic Layer Cake” model for the development of the semantic web. The semantic layer cake provides a framework to discuss a variety of approaches to an integrated view of the meta-data that will support a broad range of machine and human manipulation of digital information. Our goal is to develop a deeper understanding of the potential role of the semantic layer cake, by investigating some of the detailed relationships between the components. We also attempt to articulate some of the issues regarding the development of the semantic layer cake for real application. The path to this goal covers many fundamental issues underlying all of knowledge representation research. Paramount in this discussion is the goal of identifying the potential role of machine learning within the semantic layer cake, and finding the tradeoffs between the extremes of a completely automated construction of the semantic web via machine learning, versus one that is completely hand-engineered using the tools emerging from each layer of the semantic layer cake.
منابع مشابه
برچسبزنی خودکار نقشهای معنایی در جملات فارسی به کمک درختهای وابستگی
Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...
متن کاملUse of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کاملThe Symbiosis of Human and Semantic Technology Through the Lens of Actor-Network Theory
Background: Semantic technologies (STs) have made machine reasoning possible by providing intelligent data management methods. This capability has created new forms of interaction between humans and STs, which is called "semantic interaction." The increasing spread of this form of interaction in daily life reveals the need to identify the factors affecting it and introduce the requirements of...
متن کاملA procedure for Web Service Selection Using WS-Policy Semantic Matching
In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...
متن کاملImage Classification via Sparse Representation and Subspace Alignment
Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...
متن کامل