scholarly journals Ontology-based Why-Question Analysis Using Lexico-Syntactic Patterns

Author(s):  
A.A.I.N. Eka Karyawati ◽  
Edi Winarko ◽  
Azhari Azhari ◽  
Agus Harjoko

This research focuses on developing a method to analyze why-questions.  Some previous researches on the why-question analysis usually used the morphological and the syntactical approach without considering the expected answer types. Moreover, they rarely involved domain ontology to capture the semantic or conceptualization of the content. Consequently, some semantic mismatches occurred and then resulting not appropriate answers. The proposed method considers the expected answer types and involves domain ontology. It adapts the simple, the bag-of-words like model, by using semantic entities (i.e., concepts/entities and relations) instead of words to represent a query. The proposed method expands the question by adding the additional semantic entities got by executing the constructed SPARQL query of the why-question over the domain ontology. The major contribution of this research is in developing an ontology-based why-question analysis method by considering the expected answer types. Some experiments have been conducted to evaluate each phase of the proposed method. The results show good performance for all performance measures used (i.e., precision, recall, undergeneration, and overgeneration). Furthermore, comparison against two baseline methods, the keyword-based ones (i.e., the term-based and the phrase-based method), shows that the proposed method obtained better performance results in terms of MRR and P@10 values.

2012 ◽  
Vol 263-266 ◽  
pp. 1588-1592
Author(s):  
Jiu Qing Li ◽  
Chi Zhang ◽  
Peng Zhou Zhang

To solve resource-tagging inefficiency and low-precision retrieval in special field, an analysis method of tag semantic relevancy based on controlled database was proposed. The characteristic of special field and building method for controlled database were discussed. Domain ontology correlation calculation method was used to get semantic correlation. The tag semantic similarity calculation method was developed for semantic similarity, and normalization was used to increase the similarity accuracy. With semantic correlation and similarity as parameters, the semantic relevancy in special field can be obtained. This method was used successfully in the special field of actual projects, improved resource-tagging and retrieval efficiency.


Author(s):  
Ghada Besbes ◽  
Hajer Baazaoui-Zghal ◽  
Antonio Moreno

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1245 ◽  
Author(s):  
Aiko Endo ◽  
Terukazu Kumazawa ◽  
Michinori Kimura ◽  
Makoto Yamada ◽  
Takaaki Kato ◽  
...  

The objective of this study is to describe a target water–energy–food (WEF) nexus domain world including causal linkages and trade-off relationships between WEF resources and their stakeholders, and to develop a WEF nexus system map as an interdisciplinary tool used for understanding the subsequent complexity of WEF nexus systems. An ontology engineering method, which is a qualitative method, was applied for the replicability of the WEF nexus domain ontology and the map, because ontology engineering is a method of semantic web development for enhancing the compatibility of qualitative descriptions logically or objectively. The WEF nexus system map has three underlying concepts: (1) systems thinking, (2) holistic thinking, and (3) an integrated approach at an operational level, according to the hypothesis that the chains of changes in linkages between water, energy, and food resources holistically and systemically affect the WEF nexus system, including natural and social systems, both temporally and spatially. This study is significant because it allows us to (1) develop the WEF nexus domain ontology database, including defining the concepts and sub-concepts of trade-offs relating to WEF for the replicability of this study; (2) integrate the qualitative ontology method and quantitative network analysis method to identify key concepts serving as linkage hubs in the WEF nexus domain ontology; and (3) visualize human–nature interactions such as linkages between water, energy, and food resources and their stakeholders in social and natural systems. This paper also discusses future challenges in the application of the map for a science–policy–society interface.


Author(s):  
Jafar Ababneh ◽  
Fadi Thabtah ◽  
Hussein Abdel-Jaber ◽  
Wael Hadi ◽  
Emran Badarneh

Congestion in networks is considered a serious problem; in order to manage and control this phenomena in early stages before it occurs, a derivation of a new discrete-time queuing network analytical model based on dynamic random early drop (DRED) algorithm is derived to present analytical expressions to calculate three performance measures: average queue length (Qavg,j), packet-loss rate (Ploss,j), and packet dropping probability (pd(j)). Many scenarios can be implemented to analyze the effectiveness and flexibility of the model. We compare between the three queue nodes of the proposed model using the derived performance measures to identify which queue node provides better performance. Results show that queue node one provides highest Qavg,j, Ploss,j, and (pd(j)) than queue nodes two and three, since it has the highest priority than other nodes. All the above results of performance measure are obtained only based on the queuing network setting parameters.


1988 ◽  
Vol 2 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Vicki Ebbeck ◽  
Maureen R. Weiss

Two issues regarding the arousal-performance relationship in sport were addressed in this study: the relationship between task complexity, optimal arousal, and maximal performance, and the appropriateness of using various measures of performance. Data were collected from high school athletes (n=51) across four track and field meets. State anxiety was obtained prior to each performance and three performance measures were obtained (event results, and quality of performance evaluated by the athlete and by the coach). Results indicated that the three performance measures were not equally related to A-state, suggesting that the relationship between arousal and performance results in a different description depending upon the performance measure that is used. Furthermore, degree of task complexity could not be distinguished across various track and field events. When individual events were used to examine the arousal-performance/task complexity relationship, results revealed that level of A-state needed for maximal performance could not be differentiated for specific events, nor could it be determined for above average, average, or below average performances on any one event.


2019 ◽  
Vol 11 (17) ◽  
pp. 4618
Author(s):  
María de la O González ◽  
Francisco Jareño ◽  
Camalea El Haddouti

This study compares the performance of sector portfolios from Islamic and conventional stock markets, using standard as well as current performance measures for a recent sample period between January 1996 and December 2015. Furthermore, to test the robustness of our analysis and to determine which type of portfolios offer better performance depending on the economic cycle, the full sample period is divided into three sub-sample periods: Before, during and after the recent global financial crisis. The three main outcomes of this research confirm that, first, the sector with the best performance results is Health Care, while the sector with the worst performance results is Financials for the Islamic as well as the conventional stock market. Second, the post-crisis sub-period exhibits the best performance not only in conventional but also in Islamic markets, confirming that portfolio performance depends on the economic stage and highlighting emerging signs of economic recovery. Third, Islamic sector portfolios, as a whole, show better performance than conventional sector portfolios for all performance measures—not just for the full period but also for the three sub-sample periods. The superior risk-adjusted returns of the Islamic sector portfolios, even during the recent global financial crisis, can be justified, among other reasons, by the moderated uncertainty and speculation, as well as the fact that Islamic finance prevents interest rates that have a negative impact on the economy. Thus, Sharia-compliant assets can contribute to improving the sustainability of unattractive performance portfolios during financial crises.


ETIKONOMI ◽  
2015 ◽  
Vol 13 (1) ◽  
Author(s):  
Amirudin Amirudin

The aim of this research is to evaluate the ISO 9001: 2008 implementation in UIN Syarif Hidayatullah Jakarta. The assumption that used on this research is the ISO: 9001: 2008 implementation still can’t give an impact to service quality. This research used the survey technique such as quetionnaire. The analysis method that used is descriptive analysis, inferential analysis, and question analysis. The result from this research is there were influences of ISO 9001: 2008 implementation on employee performance at UIN Syarif Hidayatullah Jakarta, and also as average from eight dimensions on ISO 9001: 2008 had a good category. In some category, students still non satisfied on employee performanceDOI: 10.15408/etk.v13i1.1877


2001 ◽  
Vol 7 (1) ◽  
pp. 29-46 ◽  
Author(s):  
KAREN SPARCK JONES

System evaluation has mattered since research on automatic language and information processing began. However, the (D)ARPA conferences have raised the stakes substantially in requiring and delivering systematic evaluations and in sustaining these through long term programmes; and it has been claimed that this has both significantly raised task performance, as defined by appropriate effectiveness measures, and promoted relevant engineering development. These controlled laboratory evaluations have made very strong assumptions about the task context. The paper examines these assumptions for six task areas, considers their impact on evaluation and performance results, and argues that for current tasks of interest, e.g. summarising, it is now essential to play down the present narrowly-defined performance measures in order to address the task context, and specifically the role of the human participant in the task, so that new measures, of larger value, can be developed and applied.


2016 ◽  
Vol 7 (3) ◽  
pp. 8-16
Author(s):  
Shepherd Dhliwayo

The aim of the article is to illustrate that export experience of small and medium enterprises (SMEs) has a statistically significant effect on financial performance. This may seem obvious, but similar studies done elsewhere have shown conflicting results. The study’s findings also show conflicting results in the three single-item performance measures used, namely, sales, profits and savings. Data from a sample of 144 exporting SMEs were collected using a structured questionnaire. Export experience is measured by years exporting, and financial performance covers a period of three years. A Chi-square test was used to measure the effect of experience on performance. Results show that export experience had a statistically significant effect on sales and profitability, but not on savings. They also show that performance in sales and profitability increased with export experience. It is, therefore, recommended that appropriate interventions to improve exports, should take export experience into account. Keywords: export experience, performance, SMEs, sales, profitability, savings, Southern African Development Community. JEL Classification: L25


Information ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 223 ◽  
Author(s):  
Marco Conoscenti ◽  
Antonio Vetrò ◽  
Juan De Martin ◽  
Federico Spini

The Lightning Network (LN) is one of the most promising off-chain scaling solutions for Bitcoin, as it enables off-chain payments which are not subject to the well-known blockchain scalability limit. In this work, we introduce CLoTH, a simulator for HTLC payment networks (of which LN is the best working example). It simulates input-defined payments on an input-defined HTLC network and produces performance measures in terms of payment-related statistics (such as time to complete payments and probability of payment failure). CLoTH helps to predict issues and obstacles that might emerge in the development stages of an HTLC payment network and to estimate the effects of an optimisation action before deploying it. We conducted simulations on a recent snapshot of the HTLC payment network of LN. These simulations allowed us to identify network and payments configurations for which a payment is more likely to fail than to succeed. We proposed viable solutions to avoid such configurations.


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