A semantic backend for content management systems

Date

2010-12-01

Author

LALECİ ERTÜRKMEN, GÖKÇE BANU
Aluc, G.
Dogac, A.
SINACI, ALİ ANIL
Kılıç, Özgün Ozan
Tuncer, F.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

186
views

0
downloads

The users of a content repository express the semantics they have in mind while defining the content items and their properties, and forming them into a particular hierarchy. However, this valuable semantics is not formally expressed, and hence cannot be used to discover meaningful relationships among the content items in an automated way. Although the need is apparent, there are several challenges in explicating this semantics in a fully automated way: first, it is difficult to distinguish between data and the metadata in the repository and secondly, not all the metadata defined, such as the file size or encoding type, contribute to the meaning. More importantly, for the developed solution to have practical value, it must address the constraints of the content management system (CMS) industry: CMS industry cannot change their repositories in production use and they need a generic solution not limited to a specific repository architecture. In this article, we address all these challenges through a set of tools developed which first semi-automatically explicate the content repository semantics to a knowledge-base and establish semantic bridges between this backend knowledge-base and the content repository. The repository content is dynamic; to be able to maintain the content repository semantics while new content is created, the changes in the repository semantics are reflected onto the knowledge-base through the semantic bridges. The tool set is complemented with a search engine that make use of the explicated semantics.

Subject Keywords

Semantic content discovery, Content management systems, Knowledge-base, Content repository semantics

URI

https://hdl.handle.net/11511/29923

Journal

KNOWLEDGE-BASED SYSTEMS

DOI

https://doi.org/10.1016/j.knosys.2010.05.008

Collections

Graduate School of Informatics, Article

Suggestions

OpenMETU
Core

An ontology-based multimedia information management system Tarakçı, Hilal; Çiçekli, Fehime Nihan; Department of Computer Engineering (2008) In order to manage the content of multimedia data, the content must be annotated. Although any user-defined annotation is acceptable, it is preferable if systems agree on the same annotation format. MPEG-7 is a widely accepted standard for multimedia content annotation. However, in MPEG-7, semantically identical metadata can be represented in multiple ways due to lack of precise semantics in its XML-based syntax. Unfortunately this prevents metadata interoperability. To overcome this problem, MPEG-7 standar...
A Genetic Algorithms Based Classifier for Object Classification in Images Yilmaz, Turgay; Yildirim, Yakup; Yazıcı, Adnan (2011-09-28) Increase in the use of digital images has shown the need for modeling and querying the semantic content, which is usually defined using the objects in the images. In this paper, a Genetic Algorithm (GA) based object classification mechanism is developed for extracting the content of images. Objects are defined by using the Best Representative and Discriminative Feature (BRDF) model, where features are MPEG-7 descriptors. The classifier improves itself in time, with the genetic operations of GA.
A knowledge based product line for semantic modeling of web service families Orhan, Umut; Doğru, Ali Hikmet; Department of Computer Engineering (2008) Some mechanisms to enable an effective transition from domain models to web service descriptions are developed. The introduced domain modeling support provides verification and correction on the customization part. An automated mapping mechanism from the domain model to web service ontologies is also developed. The proposed approach is based on Feature-Oriented Domain Analysis (FODA), Semantic Web technologies and ebXML Business Process Specification Schema (ebBP). Major contributions of this work are the c...
A monolithic approach to automated composition of semantic web services with the Event Calculus Okutan, Cagla; Çiçekli, Fehime Nihan (Elsevier BV, 2010-07-01) In this paper, a web service composition and execution framework is presented for semantically -annotated web services. A monolithic approach to automated web service composition and execution problem is chosen, which provides some benefits by separating composition and execution phases. An AI planning method using a logical formalism, namely Abductive Event Calculus, is chosen for the composition phase. This formalism allows one to generate a narrative of actions and temporal orderings using abductive plan...
A TV Content Augmentation System Exploiting Rule Based Named Entity Recognition Method Isiklar, Yunus Emre; Cicekli, Nihan (2015-09-24) This paper presents a TV content augmentation system that enhances the contents of TVprograms by retrieving context related data and presenting them to the viewers without the necessity of another device. The paper presents both the conceptual description of the system and a prototype implementation. The implementation utilizes program descriptions crawled from web resources in order to extract named entities such as person names, locations, organizations, etc. For this purpose, a rule based Named Entity Re...

Citation Formats

G. B. LALECİ ERTÜRKMEN, G. Aluc, A. Dogac, A. A. SINACI, Ö. O. Kılıç, and F. Tuncer, “A semantic backend for content management systems,” KNOWLEDGE-BASED SYSTEMS, pp. 832–843, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/29923.