Developing Ontologies for Engineering Information Retrieval

2007 ◽  
Author(s):  
Zhanjun Li ◽  
Victor Raskin ◽  
Karthik Ramani
Keyword(s):  
Information Retrieval ◽  
Statistical Methods ◽  
Preliminary Test ◽  
The Other ◽  
Product Lifecycle ◽  
Computational Framework ◽  
Complex Queries ◽  
Engineering Documents ◽  
Engineering Information ◽  
Standard Information

When engineering content is created and applied during the product lifecycle, it is often stored and forgotten. Since search remains text-based, engineers do not have the means to harness and reuse past designs and experiences. On the other hand, current information retrieval approaches based on statistical methods and keyword matching are not directly applicable to the engineering domain. We propose a new computational framework that includes an ontological basis and algorithms to retrieve unstructured engineering documents while handling complex queries. The results from the preliminary test demonstrate that our method outperforms the traditional keyword-based search with respect to the standard information retrieval measurement.

Developing Engineering Ontology for Information Retrieval

2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Zhanjun Li ◽  
Victor Raskin ◽  
Karthik Ramani
Keyword(s):  
Information Retrieval ◽  
Life Cycle ◽  
Statistical Methods ◽  
Product Life Cycle ◽  
Effective Means ◽  
Preliminary Test ◽  
Computational Framework ◽  
Complex Queries ◽  
Engineering Documents ◽  
Standard Information

When engineering content is created and applied during the product life cycle, it is often stored and forgotten. Since search remains word based, engineers do not have the effective means to harness and reuse past designs and experiences. Current information retrieval approaches based on statistical methods and keyword matching do not satisfy users’ needs in the engineering domain. Therefore, we propose a new computational framework that includes an ontological basis and algorithms to retrieve unstructured engineering documents while handling complex queries. The results from the preliminary test demonstrate that our method outperforms the traditional keyword-based search with respect to the standard information retrieval measurement.

A methodology for engineering ontology acquisition and validation

2008 ◽  
Vol 23 (1) ◽  
pp. 37-51 ◽  
Author(s):  
Zhanjun Li ◽  
Maria C. Yang ◽  
Karthik Ramani
Keyword(s):  
Information Retrieval ◽  
Product Life Cycle ◽  
Large Scale ◽  
Performance Test ◽  
Ontology Development ◽  
Knowledge Resources ◽  
Development Method ◽  
Concept Space ◽  
Engineering Documents ◽  
Engineering Information

AbstractWhen engineering content is created and applied during the product life cycle, it is often stored and forgotten. Current information retrieval approaches based on statistical methods and keyword matching are not effective in understanding the context of engineering content. They are not designed to be directly applicable to the engineering domain. Therefore, engineers have very limited means to harness and reuse past designs. The overall objective of our research is to develop an engineering ontology (EO)-based computational framework to structure unstructured engineering documents and achieve more effective information retrieval. This paper focuses on the method and process to acquire and validate the EO. The main contributions include a new, systematic, and more structured ontology development method assisted by a semiautomatic acquisition tool. This tool is integrated with Protégé ontology editing environment; an engineering lexicon (EL) that represents the associated lexical knowledge of the EO to bridge the gap between the concept space of the ontology and the word space of engineering documents and queries; the first large-scale EO and EL acquired from established knowledge resources for engineering information retrieval; and a comprehensive validation strategy and its implementations to justify the quality of the acquired EO. A search system based on the EO and EL has been developed and tested. The retrieval performance test further justifies the effectiveness of the EO and EL as well as the ontology development method.

Expressive Microstructure in Music: A Preliminary Perceptual Assessment of Four Composers' "Pulses"

1989 ◽  
Vol 6 (3) ◽  
pp. 243-273 ◽  
Author(s):  
Bruno H. Repp
Keyword(s):  
Classical Music ◽  
Random Order ◽  
Preliminary Test ◽  
The Other ◽  
Musical Experience ◽  
General Music ◽  
Cyclic Patterns ◽  
Computer Controlled ◽  
Perceptual Assessment ◽  
Essential Prerequisite

According to a provocative theory set forth by Manfred Clynes, there are composer-specific cyclic patterns of (unnotated) musical microstructure that, when discovered and realized by a performer, help to give the music its characteristic expressive quality. Clynes, relying mainly on his own judgment as an experienced musician, has derived such personal "pulses" for several famous composers by imposing time and amplitude perturbations on computer-controlled performances of classical music and modifying them until they converged on some optimal expression. To conduct a preliminary test of the general music lover's appreciation of such "pulsed" performances, two sets of piano pieces by Beethoven, Haydn, Mozart, and Schubert, one in quadruple and the other in triple meter, were selected for this study. Each piece was synthesized with each composer's pulse and also without any pulse. These different versions were presented in random order to listeners of varying musical sophistication for preference judgments relative to the unpulsed version. There were reliable changes in listeners' pulse preferences across different composers' pieces, which affirms one essential prerequisite of Clynes' theory. Moreover, in several instances the "correct" pulse was preferred most, which suggests not only that these pulse patterns indeed capture composer- specific qualities, but also that listeners without extensive musical experience can appreciate them. In other cases, however, listeners' preferences were not as expected, and possible causes for these deviations are discussed.

scholarly journals GeoIRIS: Geospatial Information Retrieval and Indexing System—Content Mining, Semantics Modeling, and Complex Queries

2007 ◽  
Vol 45 (4) ◽  
pp. 839-852 ◽  
Author(s):  
Chi-Ren Shyu ◽  
Matt Klaric ◽  
Grant J. Scott ◽  
Adrian S. Barb ◽  
Curt H. Davis ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Geospatial Information ◽  
Complex Queries ◽  
Indexing System ◽  
Content Mining

Most Often Motivated by Social Media: The Who, the What, and the How Much—Experience from Poland

2021 ◽  
Vol 13 (20) ◽  
pp. 11193
Author(s):  
Karol Król ◽  
Dariusz Zdonek
Keyword(s):  
Social Media ◽  
Intrinsic Motivation ◽  
Statistical Methods ◽  
The Other ◽  
Public Expression ◽  
Other Hand ◽  
The Impact ◽  
The Way

Content published in social media (SM) can be motivating. It can induce action, stimulate demand, and shape opinions. On the other hand, it can demotivate, cause helplessness, or overwhelm with information. Still, the impact of SM is not always the same. The paper aims to analyse the relations between sex, personality, and the way social media is used and motivation to take specific actions. The conclusions are founded on a survey (n = 462). The data were analysed with statistical methods. The study revealed that the use of SM has a significant impact on the motivation to act. Browsing through descriptions and photographs of various achievements posted by others in SM increased the intrinsic motivation of the respondents. Positive comments and emojis had a similar effect. Moreover, women and extraverts noted a significantly greater impact of SM on their intrinsic motivation concerning health and beauty effort, travel, hobby, and public expression of opinions than men and introverts. The results can be useful to recruiters. Extravert women that are open to cooperation, thorough, and well-organised are more likely to be active in SM.

Verification of Uncurated Protein Annotations

2010 ◽  
pp. 301-314
Author(s):  
Francisco M. Couto ◽  
Mário J. Silva ◽  
Vivian Lee ◽  
Emily Dimmer ◽  
Evelyn Camon ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Molecular Biology ◽  
Domain Knowledge ◽  
Text Processing ◽  
The Other ◽  
Research Projects ◽  
Evidence Text ◽  
Biological Sources ◽  
Biology Research ◽  
Automatic Text

Molecular Biology research projects produced vast amounts of data, part of which has been preserved in a variety of public databases. However, a large portion of the data contains a significant number of errors and therefore requires careful verification by curators, a painful and costly task, before being reliable enough to derive valid conclusions from it. On the other hand, research in biomedical information retrieval and information extraction are nowadays delivering Text Mining solutions that can support curators to improve the efficiency of their work to deliver better data resources. Over the past decades, automatic text processing systems have successfully exploited biomedical scientific literature to reduce the researchers’ efforts to keep up to date, but many of these systems still rely on domain knowledge that is integrated manually leading to unnecessary overheads and restrictions in its use. A more efficient approach would acquire the domain knowledge automatically from publicly available biological sources, such as BioOntologies, rather than using manually inserted domain knowledge. An example of this approach is GOAnnotator, a tool that assists the verification of uncurated protein annotations. It provided correct evidence text at 93% precision to the curators and thus achieved promising results. GOAnnotator was implemented as a web tool that is freely available at http://xldb.di.fc.ul.pt/rebil/tools/goa/.

scholarly journals Phenotyping issues for exploring electronic health records to design clinical trials

2020 ◽  
Vol 17 (4) ◽  
pp. 402-404
Author(s):  
Jill Schnall ◽  
LingJiao Zhang ◽  
Jinbo Chen
Keyword(s):  
Clinical Trials ◽  
Electronic Health Records ◽  
Electronic Health Record ◽  
Statistical Methods ◽  
Gold Standard ◽  
The Other ◽  
Health Record ◽  
Health Records ◽  
Electronic Health ◽  
Downstream Analysis

For utilizing electronic health records to help design and conduct clinical trials, an essential first step is to select eligible patients from electronic health records, that is, electronic health record phenotyping. We present two novel statistical methods that can be used in the context of electronic health record phenotyping. One mitigates the requirement for gold-standard control patients in developing phenotyping algorithms, and the other effectively corrects for bias in downstream analysis introduced by study samples contaminated by ineligible subjects.

Metrics for Degree-of-Openness of Engineering Information: Recognizing the Value of Standards-Based PLM — Part 2

2005 ◽  
Author(s):  
Injoong Kim ◽  
Manas Bajaj ◽  
Nsikan Udoyen ◽  
Greg Mocko ◽  
Russell Peak ◽  
...  
Keyword(s):  
Product Lifecycle Management ◽  
Circuit Board ◽  
Product Lifecycle ◽  
Design Information ◽  
Cad System ◽  
Engineering Information ◽  
Computer Based ◽  
Open Standards ◽  
Lifecycle Management ◽  
Current Engineering

Over a product lifecycle, many engineering tools are used to create computer-based models that need to interact. This poses interoperability problems because of the conflicting formats of the models and differing scopes of the tools. One proposed solution is an open standards-based product lifecycle management (PLM) framework. However, the use of open standards is hindered by the lack of knowledge regarding their actual and potential usage in current engineering processes. To overcome this hurdle and evaluate the opportunities and extent to which open standards can be used in such PLM frameworks, we develop three metrics for degree-of-openness of engineering information: compatibility, coverage, and completeness. To demonstrate the usefulness of the proposed metrics, we assess circuit board design information that is transferred between native models of an electronic CAD system and the STEP AP210 standard (ISO 10303-210). This preliminary experience shows that each of the three useful metrics provides a limited aspect of degree-of-openness, and the combination of these metrics provides a single more holistic degree-of-openness indicator.

Sign in / Sign up

Export Citation Format

Share Document