A Novel Type-based API Search Engine for Open Source Elm Packages

2019 ◽  
Author(s):  
Junpeng Ouyang ◽  
Yan Liu
Keyword(s):  
Open Source ◽  
Search Engine

scholarly journals A Scalable Topic-Based Open Source Search Engine

2005 ◽  
Author(s):  
W. Buntine ◽  
J. Lofstrom ◽  
J. Perkio ◽  
S. Perttu ◽  
V. Poroshin ◽  
...  
Keyword(s):  
Open Source ◽  
Search Engine

scholarly journals Implementing an open source spatio-temporal search platform for Spatial Data Infrastructures

2016 ◽  
Author(s):  
Paolo Corti ◽  
Benjamin G Lewis ◽  
Athanasios Tom Kralidis ◽  
Ntabathia Jude Mwenda
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Language Processing ◽  
Spatial Data ◽  
Spatial Information ◽  
National Endowment ◽  
Data Infrastructure ◽  
Advanced Search ◽  
Data Infrastructures ◽  
Spatio Temporal

A Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide an efficient and flexible way to use spatial information. One of the key software components of an SDI is the catalogue service which is needed to discover, query, and manage the metadata. Catalogue services in an SDI are typically based on the Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) standard which defines common interfaces for accessing the metadata information. A search engine is a software system capable of supporting fast and reliable search, which may use “any means necessary” to get users to the resources they need quickly and efficiently. These techniques may include features such as full text search, natural language processing, weighted results, fuzzy tolerance results, faceting, hit highlighting, recommendations, feedback mechanisms based on log mining, usage statistic gathering, and many others. In this paper we will be focusing on improving geospatial search with a search engine platform that uses Lucene, a Java-based search library, at its core. In work funded by the National Endowment for the Humanities, the Centre for Geographic Analysis (CGA) at Harvard University is in the process of re-engineering the search component of its public domain SDI (WorldMap http://worldmap.harvard.edu ) which is based on the GeoNode platform. In the process the CGA has developed Harvard Hypermap (HHypermap), a map services registry and search platform independent from WorldMap. The goal of HHypermap is to provide a framework for building and maintaining a comprehensive registry of web map services, and because such a registry is expected to be large, the system supports the development of clients with modern search capabilities such as spatial and temporal faceting and instant previews via an open API. Behind the scenes HHypermap scalably harvests OGC and Esri service metadata from distributed servers, organizes that information, and pushes it to a search engine. The system monitors services for reliability and uses that to improve search. End users will be able to search the SDI metadata using standard interfaces provided by the internal CSW catalogue, and will benefit from the enhanced search possibilities provided by an advanced search engine. HHypermap is built on an open source software source stack.

scholarly journals Implementing an open source spatio-temporal search platform for Spatial Data Infrastructures

2016 ◽  
Author(s):  
Paolo Corti ◽  
Benjamin G Lewis ◽  
Tom Kralidis ◽  
Jude Mwenda
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Language Processing ◽  
Spatial Data ◽  
Search Engines ◽  
Spatial Information ◽  
Text Search ◽  
Advanced Search ◽  
Data Infrastructures ◽  
Spatio Temporal

A Spatial Database Infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide the most efficient and flexible way to use spatial information. One of the key software component of a SDI is the catalogue service, needed to discover, query and manage the metadata. Catalogue services in a SDI are typically based on the Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) standard, that defines common interfaces to access the metadata information. A search engine is a software system able to perform very fast and reliable search, with features such as full text search, natural language processing, weighted results, fuzzy tolerance results, faceting, hit highlighting and many others. The Centre of Geographic Analysis (CGA) at Harvard University is trying to integrate within its public domain SDI (named WorldMap), the benefits of both worlds (OGC catalogs and search engines). Harvard Hypermap (HHypermap) is a component that will be part of WorldMap, totally built on an open source stack, implementing an OGC catalog, based on pycsw, to provide access to metadata in a standard way, and a search engine, based on Solr/Lucene, to provide the advanced search features typically found in search engines.

scholarly journals Implementing an open source spatio-temporal search platform for Spatial Data Infrastructures

2016 ◽  
Author(s):  
Paolo Corti ◽  
Benjamin G Lewis ◽  
Tom Kralidis ◽  
Jude Mwenda
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Language Processing ◽  
Spatial Data ◽  
Search Engines ◽  
Spatial Information ◽  
Data Infrastructure ◽  
Advanced Search ◽  
Data Infrastructures ◽  
Spatio Temporal

A Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide the most efficient and flexible way to use spatial information. One of the key software components of a SDI is the catalogue service, needed to discover, query and manage the metadata. Catalogue services in a SDI are typically based on the Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) standard, that defines common interfaces to access the metadata information. A search engine is a software system able to perform very fast and reliable search, with features such as full text search, natural language processing, weighted results, fuzzy tolerance results, faceting, hit highlighting and many others. The Centre of Geographic Analysis (CGA) at Harvard University is trying to integrate within its public domain SDI (named WorldMap), the benefits of both worlds (OGC catalogues and search engines). Harvard Hypermap (HHypermap) is a component that will be part of WorldMap, totally built on an open source stack, implementing an OGC catalogue, based on pycsw, to provide access to metadata in a standard way, and a search engine, based on Solr/Lucene, to provide the advanced search features typically found in search engines.

scholarly journals Implementing an open source spatio-temporal search platform for Spatial Data Infrastructures

2016 ◽  
Author(s):  
Paolo Corti ◽  
Benjamin G Lewis ◽  
Tom Kralidis ◽  
Jude Mwenda
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Language Processing ◽  
Spatial Data ◽  
Search Engines ◽  
Spatial Information ◽  
Data Infrastructure ◽  
Advanced Search ◽  
Data Infrastructures ◽  
Spatio Temporal

A Spatial Data Infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide the most efficient and flexible way to use spatial information. One of the key software components of a SDI is the catalogue service, needed to discover, query and manage the metadata. Catalogue services in a SDI are typically based on the Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) standard, that defines common interfaces to access the metadata information. A search engine is a software system able to perform very fast and reliable search, with features such as full text search, natural language processing, weighted results, fuzzy tolerance results, faceting, hit highlighting and many others. The Centre of Geographic Analysis (CGA) at Harvard University is trying to integrate within its public domain SDI (named WorldMap), the benefits of both worlds (OGC catalogues and search engines). Harvard Hypermap (HHypermap) is a component that will be part of WorldMap, totally built on an open source stack, implementing an OGC catalogue, based on pycsw, to provide access to metadata in a standard way, and a search engine, based on Solr/Lucene, to provide the advanced search features typically found in search engines.

VuFind

2013 ◽  
pp. 73-99 ◽  
Author(s):  
Demian Katz ◽  
Andrew Nagy
Keyword(s):  
Open Source ◽  
Search Engine ◽  
Relational Database ◽  
Data Retrieval ◽  
Similarity Analysis ◽  
The Core ◽  
Front End ◽  
Informative Case ◽  
Key Features

Apache Solr, an open source Java-based search engine, forms the core of many Library 2.0 products. The use of an index in place of a relational database allows faster data retrieval along with key features like faceting and similarity analysis that are not practical in the previous generation of library software. The popular VuFind discovery tool was built to provide a library-friendly front-end for Solr’s powerful searching capabilities, and its development provides an informative case study on the use of Solr in a library setting. VuFind is just one of many library packages using Solr, and examples like Blacklight, Summon, and the eXtensible Catalog project show other possible approaches to its use.

NBLucene: Flexible and Efficient Open Source Search Engine

2016 ◽  
pp. 504-516 ◽  
Author(s):  
Zhaohua Zhang ◽  
Benjun Ye ◽  
Jiayi Huang ◽  
Rebecca Stones ◽  
Gang Wang ◽  
...  
Keyword(s):  
Open Source ◽  
Search Engine

Searching Legal Information in Multiple Asian Languages

2012 ◽  
Vol 12 (3) ◽  
pp. 173-184 ◽  
Author(s):  
Philip Chung ◽  
Andrew Mowbray ◽  
Graham Greenleaf
Keyword(s):  
Hong Kong ◽  
Open Source ◽  
Search Engine ◽  
Legal Information ◽  
European Languages ◽  
Search Facility ◽  
Asian Languages

AbstractIn this article Philip Chung, Andrew Mowbray, and Graham Greenleaf, the Co-Directors of the Australasian Legal Information Institute (AustLII), explain the need for an open source search engine which can search simultaneously over legal materials in European languages and also in Asian languages, particularly those that require a ‘double byte’ representation, and the difficulties this task presents. A solution is proposed; the ‘u16a’ modifications to AustLII's open source search engine (Sino) which is used by many legal information institutes. Two implementations of the Sino u16A approach, on the Hong Kong Legal Information Institute (HKLII), for English and Chinese, and on the Asian Legal Information Institute (AsianLII), for multiple Asian languages, are described. The implementations have been successful, though many challenges (discussed briefly) remain before this approach will provide a full multi-lingual search facility.

scholarly journals STUDI PENYELENGGARAAN JARINGAN SEKOLAH

2019 ◽  
Vol 8 (14) ◽  
pp. 005
Author(s):  
Nurdin Ibrahim ◽  
Purwanto Purwanto ◽  
Oos M. Anwas
Keyword(s):  
Focus Group ◽  
Open Source ◽  
Search Engine ◽  
Focus Group Discussion ◽  
Group Discussion ◽  
Web Server ◽  
User Friendly ◽  
E Mail

Penelitian ini bertujuan untuk mengetahui faktor pendukung dan penghambat dalam penyelengaraan jaringan sekolah, terutama dalam tahapan penyediaan, pelayanan, dan pembinaan jaringan. Metode pengumpulan data menggunakan Focus Group Discussion (FGD) terhadap pakar dan praktisi yang telah menyelenggarakan jaringan sekolah. Hasil analisis data diketahui bahwa faktor pendukung aspek penyediaan jaringan adalah SDM yang terstruktur dengan tugas, fungsi dan tanggung jawab yang jelas; dan adanya berbagai alternatif aplikasi web server open source. Faktor penghambatnya adalah: kurang dukungan pengambil kebijakan seperti pimpinan, kurang kerjasama pihak terkait, penyedia jasa internet dan lain-lain. Dalam aspek pelayanan faktor pendukung adalah content, kemudahan akses, registrasi, discount pulsa internet, jaminan keamanan, tidak adanya tagihan, dan lain-lain. Situs yang berbasis teks, user friendly, fasilitas link, FAQ, download, helpdesk, space, dan promosi langsung kepada user untuk menjaga loyalitasnya. Faktor penghambat adalah belum tersedianya fasilitas search engine content yang memadai dan menyulitkan provider untuk promosi; kurangnya insentif bagi user, kesinambungan pelayanan, e-mail gratis, dan target yang akan dicapai.

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