Enhancing content management systems with semantic capabilities

Download
index.pdf
2012
Gönül, Suat
Show full item record
174
views
74
downloads
Content Management Systems (CMS) generally store data in a way that the content is distributed among several relational database tables or stored in files as a whole without any distinctive characteristics. These storage mechanisms cannot provide the management of semantic information about the data. They lack semantic retrieval, search and browsing of the stored content. To enhance non-semantic CMSes with advanced semantic features, the semantics within the CMS itself and additional semantic information related with the actual managed content should also be taken into account. However, extracting implicit knowledge from the legacy CMSes, lifting to a semantic content management system environment and providing semantic operations on the content is a challenging task which includes adoption of several latest advancements in information extraction (IE), information retrieval (IR) and Semantic Web areas. In this study, we propose an integrative approach including automatic lifting of content from legacy systems, automatic annotation of data with the information retrieved from the Linked Open Data (LOD) cloud and several semantic operations on the content in terms of storage and search. We use a simple RDF path language to create custom, semantic indexes and filter annotations obtained from LOD cloud in a way that is eligible for specific use cases. Filtered annotations are materialized along with the actual content of document in dedicated indexes. This semantix indexing infrastructure allows semantically meaningful search facilities on top of it. We realize our approach in the scope of Apache Stanbol project, which is a subproject developed in the scope of IKS project, by focusing on document storage and retrival parts of it. We evaluate our approach in healthcare domain with different domain ontologies (SNOMED/CT, ART, RXNORM) in addition to DBpedia as parts of LOD cloud which are used annotate documents and content obtained from different health portals.
Semantic Web., Semantic computing., Semantic differential technique., Semantic networks (Information theory).
http://etd.lib.metu.edu.tr/upload/12614567/index.pdf
https://hdl.handle.net/11511/21732
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Achieving Semantic Interoperability in Emergency Management Domain
Gencturk, Mert; Evci, Enver; Guney, Arda; Kabak, Yildiray; Erturkmen, Gokce B. Laleci (2017-05-12)
This paper describes how semantic interoperability can be achieved in emergency management domain where different organizations in different domains should communicate through a number of distinct standards to manage crises and disasters effectively. To achieve this goal, a common ontology is defined as lingua franca and standard content models are mapped one by one to the ontology. Then, information represented in one standard is converted to another according to the mappings and exchanged between parties.
Multilingual dynamic linking of web resources
Dönmez, Uğur; Coşar, Ahmet; Yeşilada, Yeliz; Department of Computer Engineering (2014)
The World Wide Web is successful for locating, browsing and publishing information by its scalable architecture. However, the Web suffers from some limitations. For example, links on the Web are embedded in documents. Links are only unidirectional, ownership is required to place an anchor in documents, and authoring links is an expensive process. The embedded link structure of the Web can be improved by Semantic Web. By using Semantic Web components, existing Web resources can be enriched with additional ex...
Distributed database design with integer linear programming and evolutionary hybrid algorithms
Tosun, Umut; Coşar, Ahmet; Department of Computer Engineering (2013)
The communication costs of remote access and retrieval of table fragments required in the execution of distributed database queries, are the major factors determining the quality of a distributed database design. Data allocation algorithms try to minimize these costs by dividing database tables into horizontal fragments, then assigning each fragment at or near the database sites they are needed more frequently. In this thesis, we propose efficient optimization algorithms for centralized and distributed data...
Improving the scalability of ILP-based multi-relational concept discovery system through parallelization
Mutlu, Ayşe Ceyda; Karagöz, Pınar; Kavurucu, Yusuf (2012-03-01)
Due to the increase in the amount of relational data that is being collected and the limitations of propositional problem definition in relational domains, multi-relational data mining has arisen to be able to extract patterns from relational data. In order to cope with intractably large search space and still to be able to generate high-quality patterns. ILP-based multi-relational data mining and concept discovery systems employ several search strategies and pattern limitations. Another direction to cope w...
Semantic concept recognition from structured and unstructured inputs within cyber security domain
Hoşsucu, Alp Gökhan; Baykal, Nazife; Department of Information Systems (2015)
Linked data initiative has been quite successful in terms of publishing and interlinking data over ontological structures. The success is due to answering semantically rich queries over highly structured data. The utilization of linked data structures are widely used in various domains to solve the problem of producing domain specific knowledge which can be interpreted by automated agents without any human interference. Cyber security field is one of the domains that suffer from the excessiveness of the raw...
Citation Formats
S. Gönül, “Enhancing content management systems with semantic capabilities,” M.S. - Master of Science, Middle East Technical University, 2012.
METU IIS - Integrated Information Service open@metu.edu.tr