-
Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009)
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- Date
- 29. 8.2009 21:15:48
- Footnote
- Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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- Content
- Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
- Date
- 8. 1.2013 10:22:32
-
Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Content
- Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
-
Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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- Source
- https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
-
Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005)
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- Content
- Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
-
Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019)
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- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Malsburg, C. von der: ¬The correlation theory of brain function (1981)
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- Source
- http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
-
Dobrota, M.; Dobrota, M.: ARWU ranking uncertainty and sensitivity : what if the award factor was Excluded? (2016)
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- Abstract
- The Academic Ranking of World Universities (ARWU) uses six university performance indicators, including "Alumni" and "Awards"-the number of alumni and staff winning Nobel Prizes and Fields Medals. These two indicators raised doubts about the reliability of this ranking method because they are difficult to cope with. Recently, a newsletter was published featuring a reduced ARWU ranking list, leaving out Nobel Prize and Fields Medal indicators: the Alternative Ranking (Excluding Award Factor). We used uncertainty and sensitivity analyses to examine and compare the stability and confidence of the official ARWU ranking and the Alternative Ranking. The results indicate that if the ARWU ranking is reduced to the 4-indicator Alternative Ranking, it shows greater certainty and stability in ranking universities.
- Date
- 22. 1.2016 14:40:53
-
Kaszkiel, M.; Zobel, J.: Effective ranking with arbitrary passages (2001)
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- Abstract
- Text retrieval systems store a great variety of documents, from abstracts, newspaper articles, and Web pages to journal articles, books, court transcripts, and legislation. Collections of diverse types of documents expose shortcomings in current approaches to ranking. Use of short fragments of documents, called passages, instead of whole documents can overcome these shortcomings: passage ranking provides convenient units of text to return to the user, can avoid the difficulties of comparing documents of different length, and enables identification of short blocks of relevant material among otherwise irrelevant text. In this article, we compare several kinds of passage in an extensive series of experiments. We introduce a new type of passage, overlapping fragments of either fixed or variable length. We show that ranking with these arbitrary passages gives substantial improvements in retrieval effectiveness over traditional document ranking schemes, particularly for queries on collections of long documents. Ranking with arbitrary passages shows consistent improvements compared to ranking with whole documents, and to ranking with previous passage types that depend on document structure or topic shifts in documents
- Date
- 29. 9.2001 14:00:39
-
Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000)
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- Date
- 25. 8.2005 17:42:22
-
Vechtomova, O.; Karamuftuoglu, M.: Lexical cohesion and term proximity in document ranking (2008)
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- Abstract
- We demonstrate effective new methods of document ranking based on lexical cohesive relationships between query terms. The proposed methods rely solely on the lexical relationships between original query terms, and do not involve query expansion or relevance feedback. Two types of lexical cohesive relationship information between query terms are used in document ranking: short-distance collocation relationship between query terms, and long-distance relationship, determined by the collocation of query terms with other words. The methods are evaluated on TREC corpora, and show improvements over baseline systems.
- Date
- 1. 8.2008 12:29:05
-
Crawley, J.; Adams, C.: InfoAccess Project : comparing print, CD-ROM, and inhouse indexes (1991)
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- Abstract
- Describes the InfoAccess Project at the Univ of Saskatchewan Libraries which compared searching of manual and automated indexes by 22 undergraduate psychology students to determine their searching preferences by ranking 'Psychological abstracts' in 3 formats: print, CD-ROM and a locally mounted tape service called InfoAccess. Their satisfaction regarding the physical environment, equipment, and instructional aids was also recorded. Users preferred to search with CD-ROM, but found InfoAccess to be an acceptable alternative
- Source
- Canadian journal of information science. 16(1991) no.1, S.29-41
-
Wong, W.Y.P.; Lee, D.L.: Implementation of partial document ranking using inverted files (1993)
0.05
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- Abstract
- Examines the implementations of document ranking based on inverted files. Studies three heuristic methods for implementing the term frequency X inverse document frequency weighting strategy. The basic idea of the heuristic methods is to process the query terms in an order so that as many top documents as possible can be identified without processing all of the query terms. The heuristics were evaluated and compared. The results show improved performance. Two methods for estimating the retrieval accuracy were studied. All experiments were based on four test collection made available with the SMART system
- Source
- Information processing and management. 29(1993) no.5, S.647-669
-
Smith, M.P.; Pollitt, A.S.: ¬The potential for incorporating document ranking in the MenUSE front-end search internemdiary system (1996)
0.05
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- Abstract
- Reviews research which aims to improve the ways in which documents are presented to the user within the MenUSE (Menu based User Search Engine) search intermediary system. MenUSE is an advanced intermediary system for end user searching of bibliographic databases originating in CANSEARCH, a prototype intermediary system that used an expert systems approach to generate searches in cancer therapy related information retrieval from MEDLINE. In particular it investigates ways in which the order of presentation of documents can be made more effective. Discusses alternative schemes for document reordering, the main emphasis being on the provision of relevance ranking where the most relevant documents are presented to the user first. Examines the feasibility of incorporating such ranking techniques into MenUSE and compares 3 algorithms which simulate collection frequency ranking on a remote bibliographic database host using Boolean searching. Concludes that the CIRT algorithm offers the best performance. Proposes a design for an enhancement to the MenUSE system which will be the subject of user testing to verify the effectiveness of ranking in MenUSE
- Source
- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
-
Efthimiadis, E.N.: User choices : a new yardstick for the evaluation of ranking algorithms for interactive query expansion (1995)
0.05
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- Abstract
- The performance of 8 ranking algorithms was evaluated with respect to their effectiveness in ranking terms for query expansion. The evaluation was conducted within an investigation of interactive query expansion and relevance feedback in a real operational environment. Focuses on the identification of algorithms that most effectively take cognizance of user preferences. user choices (i.e. the terms selected by the searchers for the query expansion search) provided the yardstick for the evaluation of the 8 ranking algorithms. This methodology introduces a user oriented approach in evaluating ranking algorithms for query expansion in contrast to the standard, system oriented approaches. Similarities in the performance of the 8 algorithms and the ways these algorithms rank terms were the main focus of this evaluation. The findings demonstrate that the r-lohi, wpq, enim, and porter algorithms have similar performance in bringing good terms to the top of a ranked list of terms for query expansion. However, further evaluation of the algorithms in different (e.g. full text) environments is needed before these results can be generalized beyond the context of the present study
- Date
- 22. 2.1996 13:14:10
-
Fan, W.; Fox, E.A.; Pathak, P.; Wu, H.: ¬The effects of fitness functions an genetic programming-based ranking discovery for Web search (2004)
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- Abstract
- Genetic-based evolutionary learning algorithms, such as genetic algorithms (GAs) and genetic programming (GP), have been applied to information retrieval (IR) since the 1980s. Recently, GP has been applied to a new IR taskdiscovery of ranking functions for Web search-and has achieved very promising results. However, in our prior research, only one fitness function has been used for GP-based learning. It is unclear how other fitness functions may affect ranking function discovery for Web search, especially since it is weIl known that choosing a proper fitness function is very important for the effectiveness and efficiency of evolutionary algorithms. In this article, we report our experience in contrasting different fitness function designs an GP-based learning using a very large Web corpus. Our results indicate that the design of fitness functions is instrumental in performance improvement. We also give recommendations an the design of fitness functions for genetic-based information retrieval experiments.
- Date
- 31. 5.2004 19:22:06
-
Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006)
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- Abstract
- Research patterns could enhance understanding of the Information Systems (IS) field. Citation analysis is the methodology commonly used to determine such research patterns. In this study, the citation methodology is applied to one of the top-ranked Information Systems conferences - International Conference on Information Systems (ICIS). Information is extracted from papers in the proceedings of ICIS 2000 to 2002. A total of 145 base articles and 4,226 citations are used. Research patterns are obtained using total citations, citations per journal or conference, and overlapping citations. We then provide the citation ranking of journals and conferences. We also examine the difference between the citation ranking in this study and the ranking of IS journals and IS conferences in other studies. Based on the comparison, we confirm that IS research is a multidisciplinary research area. We also identify the most cited papers and authors in the IS research area, and the organizations most active in producing papers in the top-rated IS conference. We discuss the findings and implications of the study.
- Date
- 3. 1.2007 17:22:03
-
Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997)
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- Abstract
- Proposes a new idea of searching under the multi-engine search architecture to overcome the problems associated with relevance ranking. These include clustering of the search results and extraction of co-occurence keywords, which, with the user's feedback, better refines the query in the searching process. The system also provides the construction of the concept space to gradually customize the search tool to fit the usage for the user at the same time
- Date
- 1. 8.1996 22:08:06
- Source
- Computer networks and ISDN systems. 29(1997) no.8, S.1217-1224
-
Costa Carvalho, A. da; Rossi, C.; Moura, E.S. de; Silva, A.S. da; Fernandes, D.: LePrEF: Learn to precompute evidence fusion for efficient query evaluation (2012)
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- Abstract
- State-of-the-art search engine ranking methods combine several distinct sources of relevance evidence to produce a high-quality ranking of results for each query. The fusion of information is currently done at query-processing time, which has a direct effect on the response time of search systems. Previous research also shows that an alternative to improve search efficiency in textual databases is to precompute term impacts at indexing time. In this article, we propose a novel alternative to precompute term impacts, providing a generic framework for combining any distinct set of sources of evidence by using a machine-learning technique. This method retains the advantages of producing high-quality results, but avoids the costs of combining evidence at query-processing time. Our method, called Learn to Precompute Evidence Fusion (LePrEF), uses genetic programming to compute a unified precomputed impact value for each term found in each document prior to query processing, at indexing time. Compared with previous research on precomputing term impacts, our method offers the advantage of providing a generic framework to precompute impact using any set of relevance evidence at any text collection, whereas previous research articles do not. The precomputed impact values are indexed and used later for computing document ranking at query-processing time. By doing so, our method effectively reduces the query processing to simple additions of such impacts. We show that this approach, while leading to results comparable to state-of-the-art ranking methods, also can lead to a significant decrease in computational costs during query processing.
- Date
- 24. 6.2012 14:29:10
