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Filters
On Faceted Search over Knowledge Bases
2014
International Workshop on Description Logics
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In a facet F = (X, •Γ ), X is the facet name, denoted by F | 1 , and Γ contains the facet values and it is denoted by F | 2 . d The following facets could be of use when searching over these documents. ...
Faceted search has been proposed as a suitable paradigm for querying document collections annotated with RDF, and several RDF-based faceted search systems have been developed [4, 6, 8, 13, 16, 9-11, 14 ...
dblp:conf/dlog/GrauKZAM14
fatcat:zrfa7f7ox5fd7gwto4x4rx5hiq
Demonstration of Faceted Search on Scholarly Knowledge Graphs
[article]
2021
arXiv
pre-print
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2021
Companion Proceedings of the Web Conference 2021
unpublished
doi:10.1145/3442442.3458605 fatcat:7gterlldm5h4fbk4uoepov43zq
doi:10.1145/3442442.3458605 fatcat:7gterlldm5h4fbk4uoepov43zq
Therefore, a search on scholarly knowledge graphs ends up in a full-text search, not a search in the content of scholarly literature. ...
In this demo, we present a faceted search system that retrieves data from a scholarly knowledge graph, which can be compared and filtered to better satisfy user information needs. ...
Faceted search is a method that augments traditional search systems with a faceted exploration system, allowing users to narrow down search results by applying multiple filters based on the classification ...
arXiv:2107.05738v1
fatcat:lbdr6q2a6beznj76jxjcmdeksy
Dynamic Personalized Ranking of Facets for Exploratory Search
2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17
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Such methods re ect neither the importance of the facets nor the user interests. I focus on the problem of ranking facets from knowledge bases (KB) and Linked Open Data (LOD). ...
The rst source is the knowledge-base from which the facets are originally generated. The second is facets generated from the top-ranked documents in a search system. ...
, Personalization, Faceted Search, Knowledge Bases ACM Reference format: Esraa Ali. 2017. ...
doi:10.1145/3077136.3084157
dblp:conf/sigir/Ali17
fatcat:tsgckoh6cvgtjefz3yp63n3vse
A system for relation-oriented faceted search over knowledge bases
2021
International Journal of Web Information Systems
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Purpose The purpose of this paper is to propose a scheme that allows users to interactively explore relations between entities in knowledge bases (KBs). ...
For this reason, many researchers have proposed faceted search interfaces for KBs. Nevertheless, existing ones are designed for finding entities and are insufficient for finding relations. ...
Faceted search for knowledge bases There have been many studies on faceted search for KBs. ...
doi:10.1108/ijwis-03-2021-0035
fatcat:r3hfmia7c5alnmzsrimmvflxdq
Survey of Linked Data Based Exploration Systems
2014
International Semantic Web Conference
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Linked datasets now constitute a valuable background knowledge for supporting exploration and discovery objectives through browsers, recommenders and exploratory search systems in particular. ...
In this paper we propose a survey of such systems from the earliest semantic browsers to more recent and innovative ones. ...
View-based exploratory search systems Aemoo 18 (2012) is an exploratory search system based on Encyclopedic Knowledge Pattern 19 (EKP) [22] . ...
dblp:conf/semweb/MarieG14a
fatcat:qjmb5hekrjfyhdzcpictqd37ly
Task Trail Based Enhanced User Experience in Customer Facing Website using Automatic Facet Construction Techniques
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Finally we proposed a novel method of improving end user search experience by combining the task trail based user behavior and Automatic facet searching. ...
The scope of the Automatic facets searching can be further enhanced for the product based product standard specification. ...
The facets are grouped based on their semantical related terms extracted from the search results.Theyproposed a supervised approach based on the graphical model to recognize query facets. ...
doi:10.35940/ijitee.i3227.0789s319
fatcat:wmmz2rvoszgdvdbcx4kmoffskq
Towards semantic faceted search
2014
Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion
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We also present a system, SemFacet, that is a proof-of-concept prototype of our approach implemented on top of Yago knowledge base, powered by the OWL 2 RL triple store RDFox, and the full text search ...
In this paper we present limitations of conventional faceted search in the way data, facets, and queries are modelled. ...
Similar limitations were observed for faceted search over interlinked documents [3, 14] , webpages [12] , databases [7] , dataspaces [17] , and knowledge bases [3, 12] . ...
doi:10.1145/2567948.2577381
dblp:conf/www/ArenasGKMZ14
fatcat:grq4wtkqajeizjlkz5xokwaiki
SemFacet: Faceted Search over Ontology Enhanced Knowledge Graphs
2016
International Semantic Web Conference
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In this demo we present the SemFacet system for faceted search over ontology enhanced Knowledge Graphs (KGs) stored in RDF. ...
SemFacet can compute faceted interfaces over large scale RDF datasets by relying on incremental algorithms and over large ontologies by exploiting ontology projection techniques. ...
For efficiency reasons, we implemented our own simple engine based on an inverted index, and also allowed for the possibility of delegating keyword search to Lucene. ...
dblp:conf/semweb/GrauKMZA16
fatcat:agsnvje6ebeyzgxztuvq4l2jqu
Comprehensive Review and Future Research Directions on Dynamic Faceted Search
2021
Applied Sciences
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recommendations to enhance the use of the faceted approach among web search service providers. ...
One of the most promising technologies to reduce the number of results and provide desirable information to the users is dynamic faceted filters. ...
None Implemented an FS system over a scholarly knowledge graph. ...
doi:10.3390/app11178113
fatcat:br3ky4omurh3fmqcistcii3ibu
Ranking related entities for web search queries
2011
Proceedings of the 20th international conference companion on World wide web - WWW '11
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Our proposed system for entity ranking uses structured knowledge bases, entity relationship graphs and user data to derive useful features to facilitate semantic search with entities directly within the ...
In this work, we present an extensive analysis of Web-scale entity ranking, based on machine learned ranking models using an ensemble of pairwise preference models. ...
We showed the results on one of the large knowledge base containing millions of entities and hundreds of millions of relationships. ...
doi:10.1145/1963192.1963227
dblp:conf/www/KangVZZPTHC11
fatcat:676nizdtufex5p5krpimjn5m3i
Faceted Wikipedia Search
[chapter]
2010
Lecture Notes in Business Information Processing
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The answers to these queries are not generated using key word matching like the search engines Google or Yahoo, but are generated based on structured knowledge that has been extracted and combined from ...
Conclusion We have presented Faceted Wikipedia Search, an alternative search interface for Wikipedia, which facilitates infobox data in order to enable users to ask complex queries against Wikipedia. ...
DBpedia Faceted Wikipedia Search relies on the DBpedia knowledge base to answer queries. ...
doi:10.1007/978-3-642-12814-1_1
fatcat:k7bxomdd35fptkaab67hsdrjnm
Blognoon
2011
Proceedings of the 20th international conference companion on World wide web - WWW '11
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It enhances navigation over the Blogosphere with faceted interfaces and recommendations. ...
We demonstrate Blognoon, a semantic blog search engine with the focus on topic exploration and navigation. ...
Faceted navigation interface. The result of a query can contain thousands of posts. To help the user to look over the result, Blognoon provides facets on the right pane. ...
doi:10.1145/1963192.1963292
dblp:conf/www/GrinevaGLBTSK11
fatcat:xgbrm7jhzzbltftkcwpf57f3aa
Learning to rank related entities in Web search
2015
Neurocomputing
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Our proposed system for entity ranking uses structured knowledge bases, entity relationship graphs and user data to derive useful features to facilitate semantic search with entities directly within the ...
In this work, we present an extensive analysis of Web-scale entity ranking, based on machine learned ranking models using an ensemble of pair-wise preference models. ...
Depending on the source, the knowledge base is updated daily, weekly or quarterly. ...
doi:10.1016/j.neucom.2015.04.004
fatcat:xmezq76o2fdd5efeygiixjis6i
A multi‐facet taxonomy system with applications in unstructured knowledge management
2005
Journal of Knowledge Management
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The MTS system is based on five components: multi-dimensional taxonomy structure, thesaurus model, automatic classification mechanism, intelligent searching, and self-maintenance of taxonomy, respectively ...
This paper seeks to present the development and implementation of a multi-facet taxonomy system (MTS) for effective management of unstructured knowledge. ...
In multi-facet taxonomy, AI is used to generate a taxonomy structure for the classification of the search results based on the searching criteria and search keywords. ...
doi:10.1108/13673270510629972
fatcat:25ttlakbrzehjfg4bcd4gskmqa
GraFa: Faceted Search & Browsing for the Wikidata Knowledge Graph
2018
International Semantic Web Conference
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We present a demo of the GraFa faceted search and browsing interface over the Wikidata knowledge graph. ...
We note that Acknowledgements This work was supported by the Millennium Institute for Foundational Research on Data (IMFD) and by Fondecyt Grant No. 1181896. ...
knowledge-bases (see [3, 5] for surveys). ...
dblp:conf/semweb/Moreno-VegaH18a
fatcat:izaaprs3obeevjumpswdn2k7pu
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