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reuse repository for software under development. In this paper we have discussed various search techniques for efficient retrieval of components from reuse repository. The paper highlights the concept of keyword-based search technique in a lucid manner by exemplifying the working procedure of the technique via its
in the emergent ocean of information. The upcoming demand for data storage in petabytes and exabytes of data has also resulted in putting pressure in organizing the file structure in such a way that retrieval results of searching a keyword should match with the growing pace of data storage. As a result, there is an
repository and the associated search techniques viz. keyword-based search and signature matching in a reasoned manner by exemplifying the working methodology of these techniques via its automated implementation. To address the purpose a new tool has been developed name ARE (Automated Repository Exploration) ver. 1.0.0. Readers
needs. In this paper, we present the design, architecture and implementation of an open-source keyword-based paradigm for the search of software resources in Grid infrastructures, called Minersoft. A key goal of Minersoft is to annotate automatically all the software resources with keyword-rich metadata. Using advanced
As a semi-structured data standard rich in both content and structure, XML is becoming the dominant information organization format in digital library. Compared with traditional information retrieval systems, XML retrieval system has great advantages in organizing and retrieving information due to its element-level rather than document-level access to relevant information. This paper gives a detailed...
BIBSURF is a system demonstrating search, ranking and filtering of bibliographic RDF data that is organized in form of entities representing intellectual endeavor at different levels of abstraction: item, manifestation, expression, work.
effort, and would most likely be disruptive. In this paper, we describe ways to use the results of semantic analysis and disambiguation, while retaining an existing keyword-based search and lexicographic index. We engineer this so the output of semantic analysis (performed off-line) is suitable for import directly into
facility based on manually assigned tags. We address this issue by proposing a word spotting based keyword search method for information retrieval in digitized collections of printed Urdu documents. The proposed method is based on segmentation of Urdu text in to partial words and representing each partial word by a set of
structured (PS) music data, WAV real example (RE) music data and keyword sound (WS) text-information data. Firstly, we introduce our system architecture. Secondly, we propose anew construction method for music feature libraries in order to achieve more satisfactory results. Thirdly, we present and design the novel mix-indexing
proposed to provide users with a personalized news service. The system takes advantage of the network information crawling, web-based text mining and personalized recommendations technologies to realize automated extraction of news tag. The innovation of this mode is that the tag contains both categories and keywords. It
experimental results on economic titles and author keywords underline the relevance of the fusion methodology in terms of overall accuracy and adaptability to dynamic domains. Experiments show that fusion strategies combining a binary relevance approach and a thesaurus-based system outperform all other strategies on the tested
documents based on keywords, users normally have a more abstract perception what information they require. Semantic gap, which is the disparity between user's request and query results, has been identified as a challenging issue. In this paper, we are interested in scientific document indexing for retrieval. Knowing the
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