SEMI-AUTOMATIC ANNOTATION OF WEB SERVICES: A COMPARATIVE ANALYSIS AND RESEARCH AGENDA

2012 ◽  
Vol 06 (02) ◽  
pp. 243-259
Author(s):  
MOHAMMAD MOURHAF AL ASSWAD ◽  
AUHOOD ALFARIES ◽  
SERGIO DE CESARE ◽  
MARK LYCETT

Semantic web services (SWS) have recently attracted much attention because of their potential to automate all common service tasks such as discovery, composition, invocation and execution. The successful implementation of SWS is profoundly based on the availability of appropriate methods for SWS description. There is, however, no consensus in the SWS arena on the significant service elements that make SWS description comprehensive. Furthermore, semantic annotation of those elements is still a manual process where human involvement is a must. Therefore, automating the annotation process is highly desired as the manual annotation is a difficult, costly and time-consuming process. Few approaches exist aiming to semi-automate the annotation task. These approaches have limitations preventing their wide adoption by the research and practice communities. This paper contributes by analysing and comparing those existing semi-automatic Web service annotation approaches in order to highlight the major challenges and provide fruitful guidelines to aid future research. Particularly, a synthesis of service elements that require semantic annotation is provided and then used to assess the completeness of semi-automated approaches. The comparison leads to significant implications for theory and practice.

Author(s):  
Mohammad Mourhaf AL Asswad ◽  
Sergio de Cesare ◽  
Mark Lycett

Semantic Web services (SWS) have attracted increasing attention due to their potential to automate discovery and composition of current syntactic Web services. An issue that prevents a wider adoption of SWS relates to the manual nature of the semantic annotation task. Manual annotation is a difficult, error-prone, and time-consuming process and automating the process is highly desirable. Though some approaches have been proposed to semi-automate the annotation task, they are difficult to use and cannot perform accurate annotation for the following reasons: (1) They require building application ontologies to represent candidate services and (2) they cannot perform accurate name-based matching when labels of candidate service elements and ontological entities contain Compound Nouns (CN). To overcome these two deficiencies, this paper proposes a query-based approach that can facilitate semi-automatic annotation of Web services. The proposed approach is easy to use because it does not require building application ontologies to represent services. Candidate service elements that need to be annotated are extracted from a WSDL file and used to generate query instances by filling a Standard Query Template. The resulting query instances are executed against a repository of ontologies using a novel query execution engine to find appropriate correspondences for candidate service elements. This query execution engine employs name-based and structural matching mechanisms that can perform effective and accurate similarity measurements between labels containing CNs. The proposed semi-automatic annotation approach is evaluated by employing it to annotate existing Web services using published domain ontologies. Precision and recall are used as evaluation metrics. The resulting precision and recall values demonstrate the effectiveness and applicability of the proposed approach.


Author(s):  
Mohammad Mourhaf AL Asswad ◽  
Sergio de Cesare ◽  
Mark Lycett

Semantic Web services (SWS) have attracted increasing attention due to their potential to automate discovery and composition of current syntactic Web services. An issue that prevents a wider adoption of SWS relates to the manual nature of the semantic annotation task. Manual annotation is a difficult, error-prone, and time-consuming process and automating the process is highly desirable. Though some approaches have been proposed to semi-automate the annotation task, they are difficult to use and cannot perform accurate annotation for the following reasons: (1) They require building application ontologies to represent candidate services and (2) they cannot perform accurate name-based matching when labels of candidate service elements and ontological entities contain Compound Nouns (CN). To overcome these two deficiencies, this paper proposes a query-based approach that can facilitate semi-automatic annotation of Web services. The proposed approach is easy to use because it does not require building application ontologies to represent services. Candidate service elements that need to be annotated are extracted from a WSDL file and used to generate query instances by filling a Standard Query Template. The resulting query instances are executed against a repository of ontologies using a novel query execution engine to find appropriate correspondences for candidate service elements. This query execution engine employs name-based and structural matching mechanisms that can perform effective and accurate similarity measurements between labels containing CNs. The proposed semi-automatic annotation approach is evaluated by employing it to annotate existing Web services using published domain ontologies. Precision and recall are used as evaluation metrics. The resulting precision and recall values demonstrate the effectiveness and applicability of the proposed approach.


2019 ◽  
Vol 46 (6) ◽  
pp. 725-738 ◽  
Author(s):  
Jennifer Rowley ◽  
Brendan James Keegan

Systematic literature reviews (SLRs) adopt a specified and transparent approach in order to scope the literature in a field or sub-field. However, there has been little critical comment on their purpose and processes in practice. By undertaking an overview of SLRs in the field of social media (SM) marketing, this article undertakes a critical evaluation of the SLR purposes and processes in a set of recent SLRs and presents a future research agenda for social media marketing. The overview shows that the purposes of SLRs include the following: making sense (of research in a field), developing a concept matrix/taxonomy and supporting research and practice. On SLR processes, while there is some consensus on the stages of the process, there is considerable variation in how these processes are executed. This article offers a resource to inform practice and acts as a platform for further critical debate regarding the nature and value of SLRs.


2019 ◽  
Vol 18 (1) ◽  
pp. 99-111 ◽  
Author(s):  
Pete King ◽  
Shelly Newstead

In 1998, Sturrock and Else introduced the Play Cycle which has been integrated into both playwork theory and practice. An online survey with 157 responses found that playworkers’ understanding Play Cycle varied to how they were first introduced to the theory. In addition, understandings of the six elements of the Play Cycle were significantly different from the original author’s definitions. To provide a more consistent use of the Play Cycle in both future research and practice, this article offers new definitions for each element of the Play Cycle based on the results from this study. This has implications for any childhood setting where the Play Cycle is used, including playgroups, nurseries and out of school provision catering for primary-aged children.


2012 ◽  
Vol 45 (2) ◽  
pp. 234-249
Author(s):  
Stephen Stoynoff

In a recent state-of-the-art (SoA) article (Stoynoff 2009), I reviewed some of the trends in language assessment research and considered them in light of validation activities associated with four widely used international measures of L2 English ability. This Thinking Allowed article presents an opportunity to revisit the four broad areas of L2 assessment research (conceptualizations of the L2 construct, validation theory and practice, the application of technology to language assessment, and the consequences of assessment) discussed in the previous SoA and to propose tasks I believe will promote further advances in L2 assessment. Of course, the research tasks I suggest represent a personal stance and readers are encouraged to consider additional perspectives, including those expressed by Bachman (2000), Chalhoub-Deville & Deville (2005), McNamara & Roever (2006), Shaw & Weir (2007), and Stansfield (2008). Moreover, readers will find useful descriptions of current research approaches to investigating L2 assessments in Lumley & Brown (2005), Weir (2005a), Chapelle, Enright & Jamieson (2008), Lazaraton (2008), and Xi (2008).


Author(s):  
Leonardo Maxwell ◽  
Ezgi Taner ◽  
Gideon Mekonnen Jonathan

Digitalisation in the public sector has attracted the attention of political and administrative leaders as well as researchers. Empirical studies suggest that most of the digitalisation efforts fail to achieve the intended efficiency, transparency, and responsiveness of the public sector. While digitalisation is a hot research agenda, only a few studies explored the issue in public organisations. This study, therefore, attempts to address the gap in the literature and identify the factors influencing digitalisation in the public sector. A case study is conducted at one of the largest state-owned enterprises in Liberia, the National Social Security and Welfare Corporation (NASSCORP). The data collected through interviews and examination of internal documents were analysed thematically. The study resulted in the identification of 13 factors influencing digitalisation in the public sector, which are related to technology, organisation as well as the environment. The contribution of the study to research and practice is presented along with the potential future research opportunities.


2008 ◽  
pp. 2402-2420
Author(s):  
Lixin Fu ◽  
Hamid Nemati ◽  
Fereidoon Sadri

Privacy-preserving data mining (PPDM) refers to data mining techniques developed to protect sensitive data while allowing useful information to be discovered from the data. In this article, we review PPDM and present a broad survey of related issues, techniques, measures, applications, and regulation guidelines. We observe that the rapid pace of change in information technologies available to sustain PPDM has created a gap between theory and practice. We posit that without a clear understanding of the practice, this gap will be widening which, ultimately, will be detrimental to the field. We conclude by proposing a comprehensive research agenda intended to bridge the gap relevant to practice and as a reference basis for the future related legislation activities.


1998 ◽  
Vol 11 (4) ◽  
pp. 287-295 ◽  
Author(s):  
W. Gibb Dyer ◽  
Marcelino Sánchez

Family Business Review (FBR) has made a significant contribution to the development of the field of family business. This article examines the evolution of the field as reflected in FBR since its inception and attempts to create a guide for future research and practice. It is suggested that more collaboration between academics and practitioners, along with more case studies and cross-cultural work could prove useful to develop increasingly better theory and enhance practice.


2021 ◽  
pp. 014920632098728
Author(s):  
Cristina B. Gibson ◽  
Stephen C. Gibson ◽  
Quinn Webster

We apply insights from organizational behavior, psychology, and sociology to make the case that the community in which a firm is embedded is a valuable, rare, inimitable, and nonsubstitutable resource that holds potential as a source of sustained competitive advantage. First, we review several key principles of the resource-based view (RBV) and show how they apply to community as a strategic resource, incorporating prior work that simultaneously addresses communities and RBV. Next, we juxtapose pairs of firms in the same industries, comparing those that have embraced this strategy with those that have not, demonstrating the superior sustainability of the firms that consider community as a strategic resource. Finally, we conclude with thoughts as to a future research agenda that allows for an expansion of the concept of resources to further the development of RBV, the firms that apply it, and the communities in which they are embedded. In doing so, we demonstrate how expanding RBV to incorporate the community as strategic resource contributes to managerial theory, research, and practice.


Author(s):  
Lixin Fu ◽  
Hamid Nemati ◽  
Fereidoon Sadri

Privacy-Preserving Data Mining (PPDM) refers to data mining techniques developed to protect sensitive data while allowing useful information to be discovered from the data. In this chapter the review PPDM and present a broad survey of related issues, techniques, measures, applications, and regulation guidelines. The authors observe that the rapid pace of change in information technologies available to sustain PPDM has created a gap between theory and practice. They posit that without a clear understanding of the practice, this gap will be widening, which, ultimately will be detrimental to the field. They conclude by proposing a comprehensive research agenda intended to bridge the gap relevant to practice and as a reference basis for the future related legislation activities.


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