-
Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013)
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- RSWK
- Suchmaschine / Semantic Web / Information Retrieval
Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
- Subject
- Suchmaschine / Semantic Web / Information Retrieval
Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Jindal, V.; Bawa, S.; Batra, S.: ¬A review of ranking approaches for semantic search on Web (2014)
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- Abstract
- With ever increasing information being available to the end users, search engines have become the most powerful tools for obtaining useful information scattered on the Web. However, it is very common that even most renowned search engines return result sets with not so useful pages to the user. Research on semantic search aims to improve traditional information search and retrieval methods where the basic relevance criteria rely primarily on the presence of query keywords within the returned pages. This work is an attempt to explore different relevancy ranking approaches based on semantics which are considered appropriate for the retrieval of relevant information. In this paper, various pilot projects and their corresponding outcomes have been investigated based on methodologies adopted and their most distinctive characteristics towards ranking. An overview of selected approaches and their comparison by means of the classification criteria has been presented. With the help of this comparison, some common concepts and outstanding features have been identified.
- Source
- Information processing and management. 50(2014) no.2, S.416-425
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Poynder, R.: Web research engines? (1996)
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- Source
- Information world review. 1996, no.120, S.47-48
- 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
- Source
- Journal of the American Society for Information Science. 49(1998) no.11, S.973-982
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Scholer, F.; Williams, H.E.; Turpin, A.: Query association surrogates for Web search (2004)
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- Abstract
- Collection sizes, query rates, and the number of users of Web search engines are increasing. Therefore, there is continued demand for innovation in providing search services that meet user information needs. In this article, we propose new techniques to add additional terms to documents with the goal of providing more accurate searches. Our techniques are based an query association, where queries are stored with documents that are highly similar statistically. We show that adding query associations to documents improves the accuracy of Web topic finding searches by up to 7%, and provides an excellent complement to existing supplement techniques for site finding. We conclude that using document surrogates derived from query association is a valuable new technique for accurate Web searching.
- Source
- Journal of the American Society for Information Science and technology. 55(2004) no.7, S.637-650
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
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
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016)
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- Source
- Information processing and management. 52(2016) no.5, S.733-752
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Roy, R.S.; Agarwal, S.; Ganguly, N.; Choudhury, M.: Syntactic complexity of Web search queries through the lenses of language models, networks and users (2016)
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- Abstract
- Across the world, millions of users interact with search engines every day to satisfy their information needs. As the Web grows bigger over time, such information needs, manifested through user search queries, also become more complex. However, there has been no systematic study that quantifies the structural complexity of Web search queries. In this research, we make an attempt towards understanding and characterizing the syntactic complexity of search queries using a multi-pronged approach. We use traditional statistical language modeling techniques to quantify and compare the perplexity of queries with natural language (NL). We then use complex network analysis for a comparative analysis of the topological properties of queries issued by real Web users and those generated by statistical models. Finally, we conduct experiments to study whether search engine users are able to identify real queries, when presented along with model-generated ones. The three complementary studies show that the syntactic structure of Web queries is more complex than what n-grams can capture, but simpler than NL. Queries, thus, seem to represent an intermediate stage between syntactic and non-syntactic communication.
- Source
- Information processing and management. 52(2016) no.5, S.923-948
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Mandalka, M.: Open semantic search zum unabhängigen und datenschutzfreundlichen Erschliessen von Dokumenten (2015)
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- Content
- Virtuelle Maschine für mehr Plattformunabhängigkeit Die nun auch deutschsprachig verfügbare und mit deutschen Daten wie Ortsnamen oder Bundestagsabgeordneten vorkonfigurierte virtuelle Maschine Open Semantic Desktop Search ermöglicht nun auch auf einzelnen Desktop Computern oder Notebooks mit Windows oder iOS (Mac) die Suche und Analyse von Dokumenten mit der Suchmaschine Open Semantic Search. Als virtuelle Maschine (VM) lässt sich die Suchmaschine Open Semantic Search nicht nur für besonders sensible Dokumente mit dem verschlüsselten Live-System InvestigateIX als abgeschottetes System auf verschlüsselten externen Datenträgern installieren, sondern als virtuelle Maschine für den Desktop auch einfach unter Windows oder auf einem Mac in eine bzgl. weiterer Software und Daten bereits existierende Systemumgebung integrieren, ohne hierzu auf einen (für gemeinsame Recherchen im Team oder für die Redaktion auch möglichen) Suchmaschinen Server angewiesen zu sein. Datenschutz & Unabhängigkeit: Grössere Unabhängigkeit von zentralen IT-Infrastrukturen für unabhängigen investigativen Datenjournalismus Damit ist investigative Recherche weitmöglichst unabhängig möglich: ohne teure, zentrale und von Administratoren abhängige Server, ohne von der Dokumentenanzahl abhängige teure Software-Lizenzen, ohne Internet und ohne spionierende Cloud-Dienste. Datenanalyse und Suche finden auf dem eigenen Computer statt, nicht wie bei vielen anderen Lösungen in der sogenannten Cloud."
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Gillitzer, B.: Yewno (2017)
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- Date
- 22. 2.2017 10:16:49
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
