-
Hsieh-Yee, I.: ¬The retrieval power of selected search engines : how well do they address general reference questions and subject questions? (1998)
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- Abstract
- Evaluates the performance of 8 major Internet search engines in answering 21 real reference questions and 5 made up subject questions. Reports on the retrieval and relevancy ranking abilities of the search engines. Concludes that the search engines did not produce good results for the reference questions unlike for the subject questions. The best engines are identified by type of questions, with Infoseek best for the subject questions, and OpenText best for refrence questions
- Date
- 25.12.1998 19:22:51
-
Wiley, D.L.: Beyond information retrieval : ways to provide content in context (1998)
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- Abstract
- The days of the traditional abstracting and indexing services are waning, as abstracts and bibliographic data become commodities. However, there are tremedous opportunities for those organizations willing to look beyond the status quo to the new possibilities enabled by the latest wave of advanced technologies. Those who own content need to focus on the delivery mechanisms and new markets that technology can provide. Features like automatic extraction of key concepts or names, collaborative filtering to help with trend analysis, and visualization techniques can take information past the retrieval stage and into the management area
- Source
- Database. 21(1998) no.4, S.18-22
-
Amato, G.; Rabitti, F.; Savino, P.: Multimedia document search on the Web (1998)
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- Abstract
- Presents a multimedia model which describes the various multimedia components, their structure and their relationships with a pre-defined taxonomy of concepts, in order to support search engine information retrieval process
- Date
- 1. 8.1996 22:08:06
-
Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997)
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- Abstract
- Describes a search engine that integrate text and image search. 1 or more Web site can be indexed for both textual and image information, allowing the user to search based on keywords or images or both. Another problem with the current search engines is that they show the results as pages of scrolled lists; this is not very user-friendly. The search engine allows the user to visualise to results in various ways. Explains the indexing and searching techniques of the search engine and highlights several features of the querying interface to make the retrieval process more efficient. Use examples to show the usefulness of the technology
- Date
- 1. 8.1996 22:08:06
-
Kurzke, C.; Galle, M.; Bathelt, M.: WebAssistant : a user profile specific information retrieval assistant (1998)
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- Date
- 1. 8.1996 22:08:06
-
Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998)
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- Date
- 1. 8.1996 22:08:06
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Chen, H.; Houston, A.L.; Sewell, R.R.; Schatz, B.R.: Internet browsing and searching : user evaluations of category map and concept space techniques (1998)
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- Abstract
- The Internet provides an exceptional testbed for developing algorithms that can improve bowsing and searching large information spaces. Browsing and searching tasks are susceptible to problems of information overload and vocabulary differences. Much of the current research is aimed at the development and refinement of algorithms to improve browsing and searching by addressing these problems. Our research was focused on discovering whether two of the algorithms our research group has developed, a Kohonen algorithm category map for browsing, and an automatically generated concept space algorithm for searching, can help improve browsing and / or searching the Internet. Our results indicate that a Kohonen self-organizing map (SOM)-based algorithm can successfully categorize a large and eclectic Internet information space (the Entertainment subcategory of Yahoo!) into manageable sub-spaces that users can successfully navigate to locate a homepage of interest to them. The SOM algorithm worked best with browsing tasks that were very broad, and in which subjects skipped around between categories. Subjects especially liked the visual and graphical aspects of the map. Subjects who tried to do a directed search, and those that wanted to use the more familiar mental models (alphabetic or hierarchical organization) for browsing, found that the work did not work well. The results from the concept space experiment were especially encouraging. There were no significant differences among the precision measures for the set of documents identified by subject-suggested terms, thesaurus-suggested terms, and the combination of subject- and thesaurus-suggested terms. The recall measures indicated that the combination of subject- and thesaurs-suggested terms exhibited significantly better recall than subject-suggested terms alone. Furthermore, analysis of the homepages indicated that there was limited overlap between the homepages retrieved by the subject-suggested and thesaurus-suggested terms. Since the retrieval homepages for the most part were different, this suggests that a user can enhance a keyword-based search by using an automatically generated concept space. Subejcts especially liked the level of control that they could exert over the search, and the fact that the terms suggested by the thesaurus were 'real' (i.e., orininating in the homepages) and therefore guaranteed to have retrieval success
- Object
- Kohonen-Netz
-
Ardo, A.; Lundberg, S.: ¬A regional distributed WWW search and indexing service : the DESIRE way (1998)
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- Date
- 1. 8.1996 22:08:06
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Bradley, P.: Advanced Internet searcher's handbook (1998)
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- LCSH
- World Wide Web (Information retrieval system)
Information retrieval
- Subject
- World Wide Web (Information retrieval system)
Information retrieval
-
From 'storage and retrieval systems' to 'search engines' : text retrieval in evolution (1998)
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-
Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999)
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- Abstract
- This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing
- RSWK
- Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
- Subject
- Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
-
Cooke, A.: ¬A guide to finding quality information on the Internet : selection and evaluation strategies (1999)
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- LCSH
- Information retrieval
- Subject
- Information retrieval
-
Gordon, M.; Pathak, P.: Finding information on the World Wide Web : the retrieval effectiveness of search engines. (1999)
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-
Chu, H.; Rosenthal, M.: Search engines for the World Wide Web : a comparative study and evaluation methodology (1996)
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- Abstract
- Compares 3 WWW search engines (AltaVista, Excite, and Lycos) in terms of their search capabilities and retrieval performances using sample queires drawn from real reference questions. AltaVista outperformed Excite and Lycos in both search facilities and retrieval performance although Lycos had the largest coverage of WWW resources among the 3 WWW search engines examined. Proposes a methodology for evaluating other WWW search engines
-
Jenkins, C.: Searching the World Wide Web : an evaluation of available tools and methodologies (1998)
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- Abstract
- Organises WWW search engines and classified directories into a number of categories, according to their information acquisition and retrieval methods, with the intention of exposing the strengths and weaknesses of the various approaches. Discusses the importance and implications of information retrieval techniques. Description of the evolution of automated tools enables an insight into the aims of recent and future implementations
-
Bilal, D.: Web search engines for children : a comparative study and performance evaluation of Yahooligans!, AskJeeves for Kids, and Super Snooper (1999)
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- Abstract
- This study compared the search features and retrieval performance of Yahooligans!, Ask Jeeves for Kids, and Super Snooper on identical searches. This extended the earlier research conducted by Bilal (1999), which examined the cognitive, affective, and physical behaviors of twenty-two 7th grade science students' use of Yahooligans! search engine. The three types of searches the students formulated in Yahooligans! on an imposed fact-driven query were here conducted in Ask Jeeves for Kids and Super Snooper. The retrieval performance criteria of the three engines included: (1) retrieval output, (2) relevance, (3) overlap in results, and (4) redundancy. A matrix of features (e.g., database coverage, search interface, search capabilities, retrieval interface, filtering, feedback, online help, FAQs, and advertisements) was developed to compare the engines. The performance of the natural language capability embedded in Ask Jeeves for Kids was evaluated by comparing the results retrieved directly from Yahooligans! to those Ask Jeeves for Kids returned from Yahooligans! on identical searches.The. results shed light on the strengths and weaknesses of each engine and appropriateness to specific types of queries. Yahooligans! was the most effective on keyword searching. Super Snooper returned the highest number of hits but with zero relevance on all types of searches. Ask Jeeves for Kids was successful only on one keyword search and failed both the natural language phrase and multiple keyword. Implications are made for improving the engines' design, retrieval performance, and search features, as well as for user instruction
-
Poynder, R.: Web research engines? (1996)
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- Theme
- Verbale Doksprachen im Online-Retrieval
Klassifikationssysteme im Online-Retrieval
Semantisches Umfeld in Indexierung u. Retrieval
-
Schwartz, C.: Web search engines (1998)
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- Abstract
- This reviews looks briefly at the history of WWW search engine development, considers the current state of affairs, and reflects on the future. Networked discovery tools have evolved along with Internet resource availability. WWW search engines display some complexity in their variety, content, resource acquisition strategies, and in the array of tools the deploy to assist users. A small but growing body of evaluation literature, much of it not systematic in nature, indicates that performance effectiveness is difficult to assess in this setting. Significant improvements in general-content search engine retrieval and ranking performance may not be possible, and are probalby not worth the effort, although search engine providers have introduced some rudimentary attempts at personalization, summarization, and query expansion. The shift to distributed search across multitype database systems could extend general networked discovery and retrieval to include smaller resource collections with rich metadata and navigation tools
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Koch, T.: Searching the Web : systematic overview over indexes (1995)
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- Source
- Wissen in elektronischen Netzwerken: Strukturierung, Erschließung und Retrieval von Informationsressourcen im Internet. Eine Auswahl von Vorträgen der 19. Jahrestagung der Gesellschaft für Klassifikation, Basel 1995. Hrsg.: H.-C. Hobohm u. H.-J. Wätjen
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Falk, H.: World Wide Web search and retrieval (1997)
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