Semantic Web Service Search: A Brief Survey
نویسندگان
چکیده
منابع مشابه
Intelligent Semantic Web Search Engines: A Brief Survey
The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The amount of information grows billions of databases. We need to search the information will specialize tools known generically search engine. There are many of search engines available today, retrieving meaningful information is difficult. However to overcome this problem ...
متن کاملA Survey on Semantic Web Search Engine
The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now a days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. The Semantic Web is an extension of t...
متن کاملSemantic Constraint and QoS-Aware Large-Scale Web Service Composition
Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and atomic services are not able to meet the needs of users; and to provide complex services, it requ...
متن کاملA Survey of Development Methods for Semantic Web Service Systems
During recent years, the software industry has increasingly acknowledged that using discrete building blocks of software provides an effective way of engineering such systems (Stojanovic & Dahanayake, 2005). The 1990’s saw an increased use of component based development (CBD), but this is now giving way to the increasingly popular technologies of Web Services and Service Oriented Architectures ...
متن کاملSemantic Web Search Using Ontology Based Classification Algorithms: A Survey
Now-a-days the web based information is increasing day-by-day. As the number of internet users and the number of web document grows, it is difficult for users to find the documents that are relevant to their particular needs.In Recent years semantic web search is not considering semantic relations between words in traditional Machine Learning algorithms. Previous works on ontology-based semanti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: KI - Künstliche Intelligenz
سال: 2015
ISSN: 0933-1875,1610-1987
DOI: 10.1007/s13218-015-0415-7