Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.1
2.8
Journals
Future Internet
Special Issues
Semantic Computing and Knowledge Building
share announcement

Semantic Computing and Knowledge Building

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (15 January 2016) | Viewed by 8836

Special Issue Editors

Prof. Tamer E. El-Diraby

E-Mail Website
Guest Editor
Department of Civil Engineering, Center for Civil Informatics, University of Toronto, Toronto M5S 1A4, Canada
Interests: semantic systems; knowledge management; social network analysis; smart cities
Prof. Jinyue Zhang

E-Mail Website
Co-Guest Editor
Department of Construction Management, Center for Integrated and Smart BIM (CISBIM), Tianjin University, Tianjin 300072, China
Interests: building information modelling; knowledge management; semantic systems; social network; e-business and e-government

Special Issue Information

Dear Colleagues,

Semantic computing and systems cover the top-down approach of ontology development, as well as the bottom-up approach of natural language processing. Such tools were mainly developed and used by researchers and professionals. Lately, the proliferation of web usage has caused a shift in the practices and theory of semantic computing. In contrast to the controlled environments of ontology, networks of unstructured information sources are created and linked online daily. Knowledge is now what we collectively believe it to be—not only a formalized ontology by professionals. This is what is referred to as the extended mind thesis. Consequently, this has caused a shift in the design of informatics systems, from rule-based approaches, to statistical or mining-based approaches. Knowledge is now dynamic—its construct changes every day. Our role is not just to formalize it, based on innate understanding of a domain, but to discover it from the extended sources online and verify its validity.

This Special Issue will include papers that focus on the following topics:

  1. Implications of the extended mind thesis on knowledge management tools
  2. Using data mining tools to extract knowledge from online sources
  3. Enriching ontologies with new knowledge constructs from online sources
  4. Computation models to merge ontologies and link them to natural language tools
  5. Applications of semantic modeling and systems to validate online knowledge sources
  6. Discovery and handling of mismatches in knowledge sources
  7. Domain-specific cases for implementing semantic tools in knowledge management

Prof. Tamer E. El-Diraby
Prof. Jinyue Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Ontology
  • Natural language processing
  • Data mining
  • Knowledge extraction
  • Knowledge validation
  • Extended mind thesis
  • Semantic modeling
  • Knowledge applications

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

13253 KiB  
Article
Ontology-Based Representation and Reasoning in Building Construction Cost Estimation in China
by Xin Liu, Zhongfu Li and Shaohua Jiang
Future Internet 2016, 8(3), 39; https://doi.org/10.3390/fi8030039 - 3 Aug 2016
Cited by 11 | Viewed by 8372
Abstract
Cost estimation is one of the most critical tasks for building construction project management. The existing building construction cost estimation methods of many countries, including China, require information from several sources, including material, labor, and equipment, and tend to be manual, time-consuming, and [...] Read more.
Cost estimation is one of the most critical tasks for building construction project management. The existing building construction cost estimation methods of many countries, including China, require information from several sources, including material, labor, and equipment, and tend to be manual, time-consuming, and error-prone. To solve these problems, a building construction cost estimation model based on ontology representation and reasoning is established, which includes three major components, i.e., concept model ontology, work item ontology, and construction condition ontology. Using this model, the cost estimation information is modeled into OWL axioms and SWRL rules that leverage the semantically rich ontology representation to reason about cost estimation. Based on OWL axioms and SWRL rules, the cost estimation information can be translated into a set of concept models, work items, and construction conditions associated with the specific construction conditions. The proposed method is demonstrated in Protégé 3.4.8 through case studies based on the Measurement Specifications of Building Construction and Decoration Engineering taken from GB 50500-2013 (the Chinese national mandatory specifications). Finally, this research discusses the limitations of the proposed method and future research directions. The proposed method can help a building construction cost estimator extract information more easily and quickly. Full article
(This article belongs to the Special Issue Semantic Computing and Knowledge Building)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop