scholarly journals A vector space search engine for Web services

2005 ◽  
Author(s):  
C. Platzer ◽  
S. Dustdar
Keyword(s):  
Web Services ◽  
Vector Space ◽  
Search Engine

Discovering Homogenous Service Framework Based on Matching Mechanism and Clustering

2011 ◽  
Vol 341-342 ◽  
pp. 462-466
Author(s):  
Meng Wang ◽  
Shu Yu Li
Keyword(s):  
Web Services ◽  
Web Service ◽  
Search Engine ◽  
Search Space ◽  
Research Direction ◽  
The Internet ◽  
Ongoing Research ◽  
Service Community ◽  
Matching Mechanism ◽  
Service Framework

How to efficiently select Web services that can best meet the requirements of consumers is an ongoing research direction in Web service community. However, current discovery systems support either WSDL or OWL-S Web services but not both.Through the automatically collected WSDL files and the OWL-S web service related matching mechanism, the idea of transforming various existing web services on the Internet into a service cluster of similar homogeneous , then we can create a service search engine successfully and at the same time the search space can be reduced. By means of providing a mechanism for matching the characteristics properties of relevant web services, we can put them all together into a group which can be found and applied.

scholarly journals SISTEM TEMU KEMBALI INFORMASI PADA DOKUMEN DENGAN METODE VECTOR SPACE MODEL

2017 ◽  
Vol 9 (1) ◽  
pp. 74
Author(s):  
Irmawati Irmawati
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Search Engine ◽  
Vector Space Model ◽  
Space Model

Informasi saat ini sangat mudah didapatkan dengan memanfaatkan fasilitas internet dimanapun dan kapanpun. Di sisi lain informasi yang didapat dari  search engine merupakan semua hal yang berkaitan dengan kata kunci yang dicari. Hal ini menyebabkan pengguna terpaksa menyaring untuk mendapatkan dokumen yang relevan. Oleh karena itu diperlukan cara untuk mengelompokkan banyaknya informasi yang tersedia, yang dibutuhkan pengguna sehingga memudahkan pengguna untuk mendapatkan dokumen yang diinginkan. Pada penelitian ini diusulkan suatu solusi dari permasalahan tersebut dengan mengembangkan metode ilmu pencarian yang dikenal dengan temu-kembali informasi (information retrieval) dan metode Vector Space Model (VSM). Pada metode Vector Space Model (VSM) beberapa dokumen online akan diindeks dan diurutkan berdasarkan bobot dari kata pencarian yang terdapat di dalam dokumen online tersebut. Salah satu algoritma pembobotannya adalah algoritma tf-idf yang dipengaruhi oleh frekuensi kemunculan kata pada tiap dokumen online dan frekuensi dari dokumen online yang memiliki kata tersebut.

scholarly journals The Semantic Librarian: A search engine built from vector-space models of semantics

2019 ◽  
Vol 51 (6) ◽  
pp. 2405-2418
Author(s):  
Harinder Aujla ◽  
Matthew J. C. Crump ◽  
Matthew T. Cook ◽  
Randall K. Jamieson
Keyword(s):  
Vector Space ◽  
Search Engine ◽  
Vector Space Models

Web Service Composition for Tourism Information

2014 ◽  
pp. 2696-2705
Author(s):  
Chantana Chantrapornchai ◽  
Varisa Sirimun
Keyword(s):  
Web Services ◽  
Web Service ◽  
Search Engine ◽  
Service Composition ◽  
Service Integration ◽  
Web Service Composition ◽  
The Internet ◽  
Hotel Service ◽  
Tourism Information

Tourism information are scattered around in the Internet and are provided in many websites. To search for a particular information, for example, as a hotel information, the users need to look through the search engine and browse to many related sites to find the best possible hotels according to the requirements. In this paper, we address the use of Web service compositionThe method to combine Web service calls to integrate results from many Web services. The QoS can be used to determine the selected services and query results. Considered services include hotel service, airline service, traveling service, etc. The experiences in the service integration are discussed.

Context-Aware Mobile Search Engine

2012 ◽  
pp. 371-385
Author(s):  
Jawad Berri ◽  
Rachid Benlamri
Keyword(s):  
Web Services ◽  
Search Engine ◽  
Information Search ◽  
Web Search ◽  
Fine Tuning ◽  
Context Information ◽  
Context Model ◽  
Mobile Web ◽  
Custom Made ◽  
Context Integration

Exploiting context information in a web search engine helps fine-tuning web services and applications to deliver custom-made information to end users. While context, including user and environment information, cannot be exploited efficiently in the wired Internet interaction type, it is becoming accessible with the mobile web where users have an intimate relationship with their handsets. In this type of interaction, context plays a significant role enhancing information search and therefore, allowing a search engine to detect relevant content in all digital forms and formats. This chapter proposes a context model and an architecture that promote integration of context information for individuals and social communities to add value to their interaction with the mobile web. The architecture relies on efficient knowledge management of multimedia resources for a wide range of applications and web services. The research is illustrated with a corporate case study showing how efficient context integration improves usability of a mobile search engine.

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