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One of the challenging problem that Web service technology is now facing is effective service discovery. To solve the deficiencies of Web service description, matching and choosing under WSDL language, this paper presents a web service discovery method based on keyword clustering and concept expansion, mainly from the
This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods that are usually divided into the following three main categories: keyword-based, learning-based, and hybrid recommendation approaches. Limitations of current detection methods
Structural engineering experiment plays an important role in the civil infrastructure design and research. The diversity and heterogeneity of information representation among multiple experimental sites makes the experiment information integration difficult and lead to the poor accuracy when making the keyword
The existing expert information systems supply services for searching information of experts and help the users to select suitable experts to evaluate all types of projects in different fields, however, almost all of these search services use keyword match, and it is hard to gain high search efficiency. Ontology has
search engines in SWPs are based on keyword matching, which can not effectively 'understand' the meaning of users' queries, especially when a user has limited Earth science knowledge. So how to find needed data from a variety of geospatial resources becomes a big challenge. In this paper, we'll discuss a way of building
Artificial Intelligence and web when amalgamated, it may produce miracle in terms of semantic web. E-learning works efficiently only when E-Content preparation is need based, searchable through semantic similarity between keywords. This paper describes a e-content/e-book preparation from existing available contents on
For some special domains, if search engines only take advantage of keywords, the searchers need to mater lots of professional terms. Moreover, to refine the search interests, the professional rules and reasoning of those rules should be used. To resolving above problems, this paper focuses on extending search engines
gets answer in the form of compact text along with map for visualization purpose. This aims at developing geographic domain question answering system [QAS] embedded with mapping abilities where our system will allow users to specify a location addition to the keywords they are searching for as a query. Our system will
With the increasing popularity of Web 2.0, a general rise of user generated content there are more and more tagging systems that allow users to annotate digital resources with tags (keywords) and share their annotations with other users. Tagging is frequently seen in contrast to traditional knowledge organization
Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval
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