CDL-based Semantic Representation for Web Databases

نویسندگان

  • Mamdouh Farouk
  • Mitsuru Ishizuka
چکیده

One important task toward making web machine understandable is representing web data into semantic formats. Since a huge amount of web data stored in databases, researchers pay much care to convert DB to semantic format. Most of the previous work depends on domain ontology to covert DB to RDF. However, depending on domain ontology has many problems. This paper proposes converting web DBs into CDL semantic format, which does not depend on domain ontology. In addition, CDL describes semantic structure of web content based on a set of predefined concepts and semantic relations. The first step to convert DB to CDL is representing DB schema into a semantic network. The second step is automatic generation for CDL based on the semantic network. A prototype is presented to show the effectiveness of the proposed approach. Semantic represenation, semantic database, Concept Description Language

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A 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 کامل

An Executive Approach Based On the Production of Fuzzy Ontology Using the Semantic Web Rule Language Method (SWRL)

Today, the need to deal with ambiguous information in semantic web languages is increasing. Ontology is an important part of the W3C standards for the semantic web, used to define a conceptual standard vocabulary for the exchange of data between systems, the provision of reusable databases, and the facilitation of collaboration across multiple systems. However, classical ontology is not enough ...

متن کامل

Use 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 کامل

Query expansion based on relevance feedback and latent semantic analysis

Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...

متن کامل

An Improved Semantic Schema Matching Approach

Schema matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web [2] and schema integration. This task is defined for finding the semantic correspondences between elements of two schemas. Recently, schema matching has found considerable interest in both research and practice. In this paper, we present a new impr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012