-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
- Theme
- Citation indexing
-
Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013)
0.09
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- Abstract
- This paper presents a test of the validity of using Google Scholar to evaluate the publications of researchers by comparing the premises on which its search engine, PageRank, is based, to those of Garfield's theory of citation indexing. It finds that the premises are identical and that PageRank and Garfield's theory of citation indexing validate each other.
- Date
- 17.12.2013 11:02:22
- Theme
- Citation indexing
-
Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015)
0.08
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- Abstract
- We present a short survey of the literature on indexing and retrieval of mathematical knowledge, with pointers to 72 papers and tentative taxonomies of both retrieval problems and recurring techniques.
- Date
- 22. 2.2017 12:51:57
-
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
-
Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020)
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- Date
- 17.11.2020 12:22:59
- Theme
- Citation indexing
-
Bradford, R.B.: Relationship discovery in large text collections using Latent Semantic Indexing (2006)
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- Abstract
- This paper addresses the problem of information discovery in large collections of text. For users, one of the key problems in working with such collections is determining where to focus their attention. In selecting documents for examination, users must be able to formulate reasonably precise queries. Queries that are too broad will greatly reduce the efficiency of information discovery efforts by overwhelming the users with peripheral information. In order to formulate efficient queries, a mechanism is needed to automatically alert users regarding potentially interesting information contained within the collection. This paper presents the results of an experiment designed to test one approach to generation of such alerts. The technique of latent semantic indexing (LSI) is used to identify relationships among entities of interest. Entity extraction software is used to pre-process the text of the collection so that the LSI space contains representation vectors for named entities in addition to those for individual terms. In the LSI space, the cosine of the angle between the representation vectors for two entities captures important information regarding the degree of association of those two entities. For appropriate choices of entities, determining the entity pairs with the highest mutual cosine values yields valuable information regarding the contents of the text collection. The test database used for the experiment consists of 150,000 news articles. The proposed approach for alert generation is tested using a counterterrorism analysis example. The approach is shown to have significant potential for aiding users in rapidly focusing on information of potential importance in large text collections. The approach also has value in identifying possible use of aliases.
- Object
- Latent Semantic Indexing
- Source
- Proceedings of the Fourth Workshop on Link Analysis, Counterterrorism, and Security, SIAM Data Mining Conference, Bethesda, MD, 20-22 April, 2006. [http://www.siam.org/meetings/sdm06/workproceed/Link%20Analysis/15.pdf]
-
Gödert, W.: ¬An ontology-based model for indexing and retrieval (2013)
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- Abstract
- Starting from an unsolved problem of information retrieval this paper presents an ontology-based model for indexing and retrieval. The model combines the methods and experiences of cognitive-to-interpret indexing languages with the strengths and possibilities of formal knowledge representation. The core component of the model uses inferences along the paths of typed relations between the entities of a knowledge representation for enabling the determination of hit quantities in the context of retrieval processes. The entities are arranged in aspect-oriented facets to ensure a consistent hierarchical structure. The possible consequences for indexing and retrieval are discussed.
-
Smith, A.G.: Web links as analogues of citations (2004)
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- Theme
- Citation indexing
-
Dousa, T.: Everything Old is New Again : Perspectivism and Polyhierarchy in Julius O. Kaiser's Theory of Systematic Indexing (2007)
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- Abstract
- In the early years of the 20th century, Julius Otto Kaiser (1868-1927), a special librarian and indexer of technical literature, developed a method of knowledge organization (KO) known as systematic indexing. Certain elements of the method-its stipulation that all indexing terms be divided into fundamental categories "concretes", "countries", and "processes", which are then to be synthesized into indexing "statements" formulated according to strict rules of citation order-have long been recognized as precursors to key principles of the theory of faceted classification. However, other, less well-known elements of the method may prove no less interesting to practitioners of KO. In particular, two aspects of systematic indexing seem to prefigure current trends in KO: (1) a perspectivist outlook that rejects universal classifications in favor of information organization systems customized to reflect local needs and (2) the incorporation of index terms extracted from source documents into a polyhierarchical taxonomical structure. Kaiser's perspectivism anticipates postmodern theories of KO, while his principled use of polyhierarchy to organize terms derived from the language of source documents provides a potentially fruitful model that can inform current discussions about harvesting natural-language terms, such as tags, and incorporating them into a flexibly structured controlled vocabulary.
- Object
- Kaiser systematic indexing
-
Yakel, E.: Seeking information, seeking connections, seeking meaning : genealogists and family historians (2004)
0.03
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- Theme
- Citation indexing
-
Tennis, J.T.: Social tagging and the next steps for indexing (2006)
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-
Taube, M.; Gull, C.D.; Wachtel, I.S.: Unit terms in coordinate indexing (1952)
0.03
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-
Taube, M.; Wachtel, I.S.: ¬The logical structure of coordinate indexing (1953)
0.03
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-
Wolchover, N.: Wie ein Aufsehen erregender Beweis kaum Beachtung fand (2017)
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- Date
- 22. 4.2017 10:42:05
22. 4.2017 10:48:38
-
Dunning, A.: Do we still need search engines? (1999)
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- Source
- Ariadne. 1999, no.22
-
Gödert, W.: Detecting multiword phrases in mathematical text corpora (2012)
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- Abstract
- We present an approach for detecting multiword phrases in mathematical text corpora. The method used is based on characteristic features of mathematical terminology. It makes use of a software tool named Lingo which allows to identify words by means of previously defined dictionaries for specific word classes as adjectives, personal names or nouns. The detection of multiword groups is done algorithmically. Possible advantages of the method for indexing and information retrieval and conclusions for applying dictionary-based methods of automatic indexing instead of stemming procedures are discussed.
-
Bastos Vieira, S.; DeBrito, M.; Mustafa El Hadi, W.; Zumer, M.: Developing imaged KOS with the FRSAD Model : a conceptual methodology (2016)
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- Abstract
- This proposal presents the methodology of indexing with images suggested by De Brito and Caribé (2015). The imagetic model is used as a compatible mechanism with FRSAD for a global information share and use of subject data, both within the library sector and beyond. The conceptual model of imagetic indexing shows how images are related to topics and 'key-images' are interpreted as nomens to implement the FRSAD model. Indexing with images consists of using images instead of key-words or descriptors, to represent and organize information. Implementing the imaged navigation in OPACs denotes multiple advantages derived from this rethinking the OPAC anew, since we are looking forward to sharing concepts within the subject authority data. Images, carrying linguistic objects, permeate inter-social and cultural concepts. In practice it includes translated metadata, symmetrical multilingual thesaurus, or any traditional indexing tools. iOPAC embodies efforts focused on conceptual levels as expected from librarians. Imaged interfaces are more intuitive since users do not need specific training for information retrieval, offering easier comprehension of indexing codes, larger conceptual portability of descriptors (as images), and a better interoperability between discourse codes and indexing competences affecting positively social and cultural interoperability. The imagetic methodology deploys R&D fields for more suitable interfaces taking into consideration users with specific needs such as deafness and illiteracy. This methodology arouse questions about the paradigms of the primacy of orality in information systems and pave the way to a legitimacy of multiple perspectives in document indexing by suggesting a more universal communication system based on images. Interdisciplinarity in neurosciences, linguistics and information sciences would be desirable competencies for further investigations about he nature of cognitive processes in information organization and classification while developing assistive KOS for individuals with communication problems, such autism and deafness.
-
Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012)
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- Abstract
- In this thesis, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. The system is implemented using the state-of-the-art technologies in SemanticWeb and its performance is evaluated against traditional systems as well as the query expansion methods. Furthermore, a detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference. Finally, we show how we use semantic indexing to solve simple structural ambiguities.
-
Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001)
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Jaeger, L.: Wissenschaftler versus Wissenschaft (2020)
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