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resources containing input keywords. In this paper, we propose the semantic association search system (SASS), which takes into account the associations between resources (web pages) as well as keywords. To achieve this goal, we first created metrics to evaluate the relative importance of each association between resources, and
The demand for image retrieval and browsing online is growing dramatically. There are hundreds of millions of images available on the current World Wide Web. For multimedia documents, the typical keyword-based retrieval methods assume that the user has an exact goal in mind in searching a set of images whereas users
The processing of high amount of documents is a highly complex challenge, which becomes even more complicated when the goal is to extract the semantically relevant data within the documents. The large-scale processing of immense repositories of knowledge requires techniques which perform information extraction to
In the World-Wide Web context, availability of software components increases the possibility of applying a reuse approach in software development. Thus, component retrieval is a key problem, both for software industry and for end-users. Several problems should be solved: components formalisms are very different from
and add their own descriptions using descriptive tags. Instead of specifying the detailed steps for composing a service, a non-expert user would specify the goal of their desired activities using a set of keywords then our approach can automatically identify the relevant services to achieve the goal at run-time. A
, a Grid application consults a broker or matchmaker agent that uses keywords and ontologies to specify grid services. Moreover, any successful selection mechanism should be highly distributed and robust to the dynamic property of Grid environment. However, we believe that keywords and ontologies cannot be defined or
The Internet is the largest information repository. Most information retrieval systems are based on the premise that users know the keywords for searching subjects. Web services provide a suitable technical framework for making business processes accessible within enterprises and across enterprises, so that they have
Although arguable success of today's keyword based search engines in certain information retrieval tasks, ranking search results in a meaningful way remains an open problem. In this work, the goal is to use of semantic relationships for ranking documents without relying on the existence of any specific structure in a
criteria based on assumed impacts on ontology selection. Second, it enables users to search keywords from multiple ontologies. In addition, new metrics for the selection criteria are proposed. For empirical analysis, a prototype was developed and experiments were performed. The experimental results indicate that our
description about Web services. In actual applications, however, a lot of difficulties are found when using these methods. The goal of domain ontology is to capture the related domain knowledge, to provide common understanding about the domain knowledge, to determine the conceptions commonly recognized in this domain, and to
The goal of semantic Web is to make the computer can understand and process data which can only be shown by the current Web. But it is impossible to annotate all the huge amount of data of current Web with semantic labels during a short time. This paper proposes a concept of Linguistic Web, which is to provide a
stores and integrates different protein data bank files of a group. The goal of the system is to provide data, as well as a software infrastructure for bioinformatics research and development for the user. In the proposed system, the tables are generated automatically from the PDB file and different protein data banks
The construction of Automated Digital Libraries has grabbed widespread popularity over recent years, rendering the value added services that suit to the tailored user requirements. In this context, carrying out traditional searches over text material by querying upon a given metadata or a set of domain keywords is
based on ontology. It uses the rich semantic knowledge of ontology to upgrade the retrieval based on keywords to concepts, and combines it with the specialized engine to improve retrieval effect and efficiency. The paper also takes patent information for example to explain its application at the end.
Spatial information retrieval which is mainly catalog service based on metadata is the foundation of spatial information sharing. Today's information retrieval methods in catalog service are typically limited to keyword searches or matches of sub-strings, which do not meet user's retrieval demand. This paper presents
In the world-wide web context, availability of software components increases the possibility of applying a reuse approach in software development. Thus, component retrieval is a key problem, both for software industry and for end-users, moreover for open source community which uses more and more components-based
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