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1.
Philip E. Schreur 《Cataloging & classification quarterly》2020,58(3-4):397-402
AbstractThe transformation of library metadata encoded in MARC to linked data will enable libraries to participate in the Semantic Web. This transformation, however, will be an iterative development dependent upon community-based decisions. The PCC, as a community-based organization, is ideally positioned to lead this transformation. As PCC guides this transition, three broad areas must be resolved: the conversion of legacy data to linked data, the use of identifiers to support controlled headings, and the transformation of current workflows to linked-data counterparts. By embracing the Web as a community, PCC can confirm its relevance in a complex web of global data. 相似文献
2.
Fatemeh Lashkari Ebrahim Bagheri Ali A. Ghorbani 《Information processing & management》2019,56(3):733-755
Traditional information retrieval techniques that primarily rely on keyword-based linking of the query and document spaces face challenges such as the vocabulary mismatch problem where relevant documents to a given query might not be retrieved simply due to the use of different terminology for describing the same concepts. As such, semantic search techniques aim to address such limitations of keyword-based retrieval models by incorporating semantic information from standard knowledge bases such as Freebase and DBpedia. The literature has already shown that while the sole consideration of semantic information might not lead to improved retrieval performance over keyword-based search, their consideration enables the retrieval of a set of relevant documents that cannot be retrieved by keyword-based methods. As such, building indices that store and provide access to semantic information during the retrieval process is important. While the process for building and querying keyword-based indices is quite well understood, the incorporation of semantic information within search indices is still an open challenge. Existing work have proposed to build one unified index encompassing both textual and semantic information or to build separate yet integrated indices for each information type but they face limitations such as increased query process time. In this paper, we propose to use neural embeddings-based representations of term, semantic entity, semantic type and documents within the same embedding space to facilitate the development of a unified search index that would consist of these four information types. We perform experiments on standard and widely used document collections including Clueweb09-B and Robust04 to evaluate our proposed indexing strategy from both effectiveness and efficiency perspectives. Based on our experiments, we find that when neural embeddings are used to build inverted indices; hence relaxing the requirement to explicitly observe the posting list key in the indexed document: (a) retrieval efficiency will increase compared to a standard inverted index, hence reduces the index size and query processing time, and (b) while retrieval efficiency, which is the main objective of an efficient indexing mechanism improves using our proposed method, retrieval effectiveness also retains competitive performance compared to the baseline in terms of retrieving a reasonable number of relevant documents from the indexed corpus. 相似文献
3.
《Information processing & management》2023,60(3):103280
Image and text matching bridges visual and textual modality differences and plays a considerable role in cross-modal retrieval. Much progress has been achieved through semantic representation and alignment. However, the distribution of multimedia data is severely unbalanced and contains many low-frequency occurrences, which are often ignored and cause performance degradation, i.e., the long-tail effect. In this work, we propose a novel rare-aware attention network (RAAN), which explores and exploits textual rare content for tackling the long-tail effect of image and text matching. Specifically, we first design a rare-aware mining module, which contains global prior information construction and rare fragment detector for modeling the characteristic of rare content. Then, the rare attention matching utilizes prior information as attention to guide the representation enhancement of rare content and introduces the rareness representation to strengthen the similarity calculation. Finally, we design prior information loss to optimize the model together with the triplet loss. We perform quantitative and qualitative experiments on two large-scale databases and achieve leading performance. In particular, we conduct 0-shot test for rare content and improve rSum by 21.0 and 41.5 on Flickr30K (155,000 image and text pairs) and MSCOCO (616,435 image and text pairs), demonstrating the effectiveness of the proposed method for the long-tail effect. 相似文献
4.
高稳潮 《河北职业技术学院学报》2004,4(2):31-32
信息时代的高校信息检索课应明确课程特点,构造网络同步操作环境,改革教学内容与考核方法,提高教师素质,以适应时代的要求。 相似文献
5.
通过调研分析媒体融合高速发展的2017—2019年,国内高校信息检索课程教材出版和使用情况,得出结论:信息检索课教材建设必须与时俱进,在持续发展综合性通识类教材的同时,加强专业类教材及配套教辅资料的编写,无缝对接课堂内外;契合课程教学模式更新,建设多层次立体化教材体系;对接读者需求变化,设计精准定位的场景教学内容;建立健全合作机制,联合优势力量编写精品教材。 相似文献
6.
应该重视科技期刊论文中的"致谢" 总被引:5,自引:1,他引:4
国内外科技期刊对文后"致谢"的重视程度差异很大,统计表明,国内外40种科技期刊中的16437篇论文,其文后有致谢内容的比例,国外超过50%,而国内仅为2%~3%.通过对国内外科技期刊论文的致谢内容、表达方式等异同点进行分析,认为:致谢不仅能体现科技论文的严谨性、真实性和科学性,而且能体现论文本身的价值和可信程度,更重要的是对他人和知识产权的尊重;因此,应该重视科技期刊论文中的致谢.提出了致谢编排的一般规范和应采取的措施. 相似文献
7.
北大方正书版排版系统支持的图形、图像格式有限,仅支持.tif等少数图形文件格式,因此,在很多情况下,如格式为.doc、,dwg等的图形一般采用扫描的方法,通过photoshop软件处理后,再存为.tif格式文件为北大方正书版所利用,但有时效果不佳. 相似文献
8.
9.
科技期刊编辑校对"5 忌" 总被引:1,自引:1,他引:0
从科技期刊的特点出发,根据编辑从事校对工作的实际情况,提出编辑在校对时应该注意的几个方面. 相似文献
10.
用"第三只眼"看科技学术期刊审稿人 总被引:4,自引:4,他引:0
在肯定科技学术期刊审稿人重要作用的前提下,认为绝大多数审稿人是值得颂扬的,其奉献精神值得刊社人员学习,但也有少数审稿人因种种原因不能很好地承担审稿任务,刊社在使用审定意见时必须慎重. 相似文献