-
Sacco, G.M.: Dynamic taxonomies and guided searches (2006)
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- Date
- 22. 7.2006 17:56:22
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.6, S.792-796
-
Faaborg, A.; Lagoze, C.: Semantic browsing (2003)
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- Research and advanced technology for digital libraries : 7th European Conference, proceedings / ECDL 2003, Trondheim, Norway, August 17-22, 2003
-
Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004)
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- Date
- 16.11.2008 16:22:48
- Source
- Research and advanced technology for digital libraries : 8th European conference, ECDL 2004, Bath, UK, September 12-17, 2004 : proceedings. Eds.: Heery, R. u. E. Lyon
-
Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003)
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- Date
- 22. 3.2003 19:35:46
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.4, S.321-334
-
Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006)
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- Date
- 22. 7.2006 16:32:43
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- Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.462-478
-
Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002)
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- Date
- 22. 2.2003 17:25:39
22. 2.2003 18:17:40
-
Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005)
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- 11. 2.2011 18:22:58
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Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005)
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- Date
- 11. 2.2011 18:22:25
-
Kulyukin, V.A.; Settle, A.: Ranked retrieval with semantic networks and vector spaces (2001)
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- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.14, S.1224-1233
-
Niemi, T.; Jämsen, J.: ¬A query language for discovering semantic associations, part II : sample queries and query evaluation (2007)
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- Abstract
- In our query language introduced in Part I (Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1559-1568) the user can formulate queries to find out (possibly complex) semantic relationships among entities. In this article we demonstrate the usage of our query language and discuss the new applications that it supports. We categorize several query types and give sample queries. The query types are categorized based on whether the entities specified in a query are known or unknown to the user in advance, and whether text information in documents is utilized. Natural language is used to represent the results of queries in order to facilitate correct interpretation by the user. We discuss briefly the issues related to the prototype implementation of the query language and show that an independent operation like Rho (Sheth et al., 2005; Anyanwu & Sheth, 2002, 2003), which presupposes entities of interest to be known in advance, is exceedingly inefficient in emulating the behavior of our query language. The discussion also covers potential problems, and challenges for future work.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1686-1700
-
Niemi, T.; Jämsen , J.: ¬A query language for discovering semantic associations, part I : approach and formal definition of query primitives (2007)
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- Content
- Part II: Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1686-1700.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1559-1568
-
Greenberg, J.: Optimal query expansion (QE) processing methods with semantically encoded structured thesaurus terminology (2001)
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- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.6, S.487-498
-
Nie, J.-Y.: Query expansion and query translation as logical inference (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.4, S.335-346
-
Khan, M.S.; Khor, S.: Enhanced Web document retrieval using automatic query expansion (2004)
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- Source
- Journal of the American Society for Information Science and technology. 55(2004) no.1, S.29-40
-
Scholer, F.; Williams, H.E.; Turpin, A.: Query association surrogates for Web search (2004)
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- Source
- Journal of the American Society for Information Science and technology. 55(2004) no.7, S.637-650
-
Menczer, F.: Lexical and semantic clustering by Web links (2004)
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- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1261-1269
-
Pahlevi, S.M.; Kitagawa, H.: Conveying taxonomy context for topic-focused Web search (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.2, S.173-188
-
Nakashima, M.; Sato, K.; Qu, Y.; Ito, T.: Browsing-based conceptual information retrieval incorporating dictionary term relations, keyword associations, and a user's interest (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.1, S.16-28
-
Blocks, D.; Cunliffe, D.; Tudhope, D.: ¬A reference model for user-system interaction in thesaurus-based searching (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.12, S.1655-1665
-
Wang, Y.-H.; Jhuo, P.-S.: ¬A semantic faceted search with rule-based inference (2009)
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- Abstract
- Semantic Search has become an active research of Semantic Web in recent years. The classification methodology plays a pretty critical role in the beginning of search process to disambiguate irrelevant information. However, the applications related to Folksonomy suffer from many obstacles. This study attempts to eliminate the problems resulted from Folksonomy using existing semantic technology. We also focus on how to effectively integrate heterogeneous ontologies over the Internet to acquire the integrity of domain knowledge. A faceted logic layer is abstracted in order to strengthen category framework and organize existing available ontologies according to a series of steps based on the methodology of faceted classification and ontology construction. The result showed that our approach can facilitate the integration of inconsistent or even heterogeneous ontologies. This paper also generalizes the principles of picking appropriate facets with which our facet browser completely complies so that better semantic search result can be obtained.
