Improvement of the Recall and the Precision for Semantic Web Services Search

Lee, Daewook; Kwon, Joonho; Yang, Seung Dae; Lee, Sukho

doi:10.1109/icis.2007.114

Cited by 7 publications

(7 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This area of research typically uses information retrieval systems evaluation methods [30][31][32][33][34][35]. A test collection includes a set of service offers S, a number of service requests Q and relevance judgements (RJ).…”

Section: Discussionmentioning

confidence: 99%

Dynamis: Effective Context-Aware Web Service Selection Using Dynamic Attributes

et al. 2015

View full text Add to dashboard Cite

Quality web service discovery requires narrowing the search space from an overwhelming set of services down to the most relevant ones, while matching the consumer's request. Today, the ranking of services only considers static attributes or snapshots of current attribute values, resulting in low-quality search results. To satisfy the user's need for timely, well-chosen web services, we ought to consider quality of service attributes. The problem is that dynamic attributes can be difficult to measure, frequently fluctuate, are context-sensitive and depend on environmental factors, such as network availability at query time. In this paper, we propose the Dynamis algorithm to address these challenges effectively. Dynamis is based on well-established database techniques, such as skyline and aggregation. We illustrate our approach using observatory telescope web services and experimentally evaluate it using stock market data. In our evaluation, we show significant improvement in service selection over existing techniques.

show abstract

Section: Discussionmentioning

confidence: 99%

Dynamis: Effective Context-Aware Web Service Selection Using Dynamic Attributes

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Next to each query, we also put the corresponding keyword query which was actually used in the evaluation. Table 6 presents the Mean Average Precision (MAP) [11,12,13] for three different type of search engines. Figure 11 shows the evaluation result for comparing MAP of TRAD, CB and NewsSE.…”

Section: Evaluation Queriesmentioning

confidence: 99%

NewsSE: An Ontology-based Search Engine for News

Beheshti¹,

Poorahangaryan²,

Edalatpanah³

2017

csit

View full text Add to dashboard Cite

Rapid growth of information on the web and need to information sharing on one hand and also as news play an important role in our lives and the internet becomes the biggest repository for keeping this news on the other hand, lead us to research in this domain. In this study, we introduce a new framework for searching news by considering the relation between news and events. This framework, which is called news, considers news as a series of events in order to cover all aspects of news. News uses Domain Ontology and Event Ontology to extract the concepts and relations existed in news. Experience in using semantic techniques in search engine on the one hand and considering the relationships between events related to each news on the other hand cause an improvement in ranking results, obtaining more fresh results and cover more concepts related to a particular query compared to other search engines such as Google News and Yahoo News. The results show the Mean Average Precision (MAP) for this framework is 86.81 percent, which is higher than Google news and Yahoo! News. Furthermore the event ontology increase Average Precision about 0.8 percent compared to other traditional search engines.

show abstract

“…An ontological commitment (is thus) a partial semantic account of the intended conceptualization." (Bo Leuf, 2006) Lee at al. (2007) reported that the keyword search does not suffice for accurately specifying the information required by the user.…”

Section: Ontology Search Enginementioning

confidence: 99%

“…The idea of using clustering and ontology has raised, however, several weaknesses inherent in these approaches. According to Lee at al. (2007), "The clustering method is not semantic matching and just simple extension of keyword matching.…”

Section: Ontology Search Enginementioning

confidence: 99%

Semantic Search Engine and Object Database Guidelines for Service Oriented Architecture Models

Shehab¹,

Zoliat

2011

International Journal of Technology Diffusion

View full text Add to dashboard Cite

In this paper, the authors propose a Semantic Search Engine, which retrieves software components precisely and uses techniques to store these components in a database, such as ontology technology. The engine uses semantic query language to retrieve these components semantically. The authors use an exploratory study where the proposed method is mapped between object-oriented concepts and web ontology language. A qualitative survey and interview techniques were used to collect data. The findings after implementing this research are a set of guidelines, a model, and a prototype to describe the semantic search engine system. The guidelines provided help software developers and companies reduce the cost, time, and risks of software development.

show abstract

Improvement of the Recall and the Precision for Semantic Web Services Search

Cited by 7 publications

References 3 publications

Dynamis: Effective Context-Aware Web Service Selection Using Dynamic Attributes

Dynamis: Effective Context-Aware Web Service Selection Using Dynamic Attributes

NewsSE: An Ontology-based Search Engine for News

Semantic Search Engine and Object Database Guidelines for Service Oriented Architecture Models

Contact Info

Product

Resources

About