Query: linked data for products search

Candidate papers:

abstract: Nexperia is a semiconductor manufacturer with a rich heritage from Philips and NXP. With such a long history, the company has built an impressive product portfolio of over ten thousand distinct product models. With this many products, finding the relevant data across the various systems can be an onerous task. To that end Nexperia have adopted and extended the award winning Enterprise Data Hub [1] solution originally developed in cooperation with NXP and publish Linked Data on the Nexperia Data Portal [2] One of the key new developments has been the Product Search application which enables users to quickly find answers to the most frequently asked questions from customers in a fast, responsive and intuitive interface. Typically, this might be a Nexperia sales representative talking to a customer who needs information about what products to purchase. Being able to provide fast and accurate product information can help Nexperia to win more sales. To ensure a fast search experience, we use an Elasticsearch cluster for the search index. In this paper we explain the Extract, Transform, Load (ETL) approach used to populate the search index and how Linked Data adds value in the Product Search application.
author_names: John Walker

Herman Elenbaas
title: Product Search using Linked Data
venue: SEMWEB
year: 2018

abstract: Halal concept is an essential aspect of Muslim daily life. Currently, many organizations around the world provide halal certification services as known as halal certification bodies. In the majority, these organizations provide halal product information on their website. However, information is presented in different formats, such as pdf, table, and text. As a result, the user is difficult to search for information on these websites. Therefore, we develop search engine on halal linked open data to facilitate users for searching halal products. We use an entity ranking approach to retrieve relevant items based on user queries that consist of an independent ranking and dependent ranking method. Independent ranking employs a link count approach to indicate the information richness of the entity. Dependent ranking employs term frequency inverse entity frequency (TF IEF) to measure the similarity of an entity based on terms. We use Apache Lucene to perform indexing and search process. Also, we use the Neo4j graph database to save entity ranking computation results. The results show that the system delivers excellent results. The Mean Average Precision (MAP) for top 5 results is 91,2%
author_names: Ahmad Choirun Najib

Nur Aini Rakhmawati
title: Search Engine for Halal Linked Open Data Using Entity Ranking Approach
year: 2020

abstract: In Indonesia, the Institute of Food and Drug Administration (LPPOM) MUI is the official institution that provides information about halal products. However, the lack of information is provided on the website. Halal Nutrition Food is an application that has a function to facilitate the search for halal products that are incorporated in an integrated database in the form of Linked Open Data. To improve the searching features, we exploit BM25F. BM25F can process structured documents such as instances in RDF. The BM25F return the answer based on four fields: product name, manufacturer name, product ID and ingredient name. The weight of each field is calculated using the Analytic Hierarchy Process (AHP) where the product name gets the highest weight value. The number of keywords and the keywords occurrences influence the score of query results.
author_names: Nur Aini Rakhmawati

Adnan Mauludin Fajriyadi
title: Search Halal Products Using BM25F and the Analytic Hierarchy Process
venue: Jurnal Edukasi dan Penelitian Informatika (JEPIN)
year: 2019

abstract: The information about drugs is scattered among various resources and accessing it is hard for end users. In this paper we present an application called Drug Encyclopedia which is built on the top of the data mart represented as Linked Data and enables physicians to search and browse clinically relevant information about medicinal products and drugs. The application has been running for more than a year and has attracted many users. We describe the development driven by requirements, data mart creation, application evaluation and discuss the lessons learned.
author_names: Jakub Kozak

Martin Necasky

Jaroslav Pokorny
title: Drug Encyclopedia Linked Data Application for Physicians
venue: SEMWEB
year: 2015

abstract: In this paper, we describe the technical approach of and experiences gained in exposing a major share of the European building and construction materials market on the basis of the GoodRelations Web vocabulary for e commerce. This allows for the fine grained search for products, suppliers, and warehouses for any building related sourcing needs. Because building materials show a very high item specificity, they are very interesting for new types of search. Also, transportation costs for building materials are very significant, which makes the distance from the warehouse to the point of consumption a critical dimension of search. Based on existing data sources, we were able to include a rich, machine readable description of individual product features using the FreeClassOWL ontology, which allow for multi dimensional search. The result is one of the largest and richest public datasets for a well defined trade sector that is available on the Semantic Web.
author_names: A Radinger

Bene Rodriguez-Castro

Alex Stolz

Martin Hepp
title: BauDataWeb: the Austrian building and construction materials market as linked data
venue: I SEMANTICS '13
year: 2013

abstract: 3,357,784 12/1967 Kasper 8/129 Inventors: Endre A. Balazs, Riverdale, N.Y. 4,141,973 2/1979 Balazs 536/55.1 Adolf Leshchiner, Fairview, N.J. 4,303,676 12/1981 Balazs 424/359 4,487,865 12/1984 Balazs et al. 524/29 Assignee: Biomatrix, Inc. Ridgefield, N.J. 4,500,676 2/1985 Balazs et al. 424/81 Primary Examiner Ronald W. Griffin Appl. No. 709,977 Attorney, Agent, or Firm Sheldon Palmer Fied: Mar. 8, 1985 57 ABSTRACT Disclosed are cross linked gels of hyaluronic acid, alone Related U.S. Application Data or mixed with other hydrophilic polymers and contain Division of Ser. No. 678,895, Dec. 6, 1984, Pat. No. ing various substances or covalently bonded low molec ular weight substances and processes for preparing 4,582,865. them. These products are useful in numerous applica Int. Cl. C08F 8/00 tions including cosmetic formulations and as drug deliv as so sa e a 514/781 ery systems. Field of Search 514/781; 536/4.1; 524/27, 29 1 Claim, 2 Drawing Figures
title: CROSS LINKED GELS OF HIYALURONCACD AND PRODUCTS CONTAINING SUCH GELS
year: 2017

abstract: Carefully curated digital collections, structured with rich metadata sets and accessible via search engines and APIs, are not enough for users anymore. Multimedia narratives on the web and other digital "wayfindings" help a wider audience access the content of digital collections and also familiarize them with the research products that are published online. Digital humanists, then, face a twofold challenge: how to create scientific oriented resources that serve the need of both scholars and general users and how to introduce nonspecialists to the digital collections produced by academics. The case of epigraphy is interesting, as there are already several examples of how niche content can be introduced to a wider public using multiple tools. This chapter illustrates the effort made by the Europeana network of Ancient Greek and Latin Epigraphy (EAGLE) in both integrating the largest collections of digitized inscriptions in Europe in a single database and providing users with tools for research, interaction, and fact finding. In particular, we will focus on the web based storytelling tools that help users build engaging multimedia narrative based on inscriptions and ancient monuments and on a virtual exhibition that showcases some of the most spectacular items in the EAGLE collection.
author_names: Pietro Liuzzo

Francesco Mambrini

Philipp Franck
title: Storytelling and Digital Epigraphy Based Narratives in Linked Open Data
venue: Mixed Reality and Gamification for Cultural Heritage
year: 2017

abstract: The main aim of this article is to identify how the pressures from the external environment, in relation to the adoption of practices for sustainability in the environmental dimension, interfere with the organizational routines of companies involved in the plastic transformation chain. This research used a qualitative method because we sought to understand the meaning of managerial decisions regarding the routines that make up an organizational structure. For this purpose, secondary sources of evidence were used, which provided information on the history, infrastructure and products of 107 companies associated with the Brazilian Association of the Plastic Industry (Abiplast) In addition, six individuals directly linked to the plastics industry were also interviewed in order to obtain more evidence about the changes in the routines of this industry. For the analysis of the data, the constant comparison method was used based on the coding technique to identify patterns of behavior. The qualitative data were analyzed using the Atlas.ti version 7 software. The results demonstrate that the routines can be categorized as isomorphic or evolutionary, which is the main contribution of this research. In addition, the type of routine adopted may be associated with the company being reactive or proactive in relation to the pressures from the external environment. Furthermore, we can also say that the activities involved in the creation of new routines for environment sustainability are linked to three actions: building an infrastructure for sustainability, managing a circular flow of resources and innovation for sustainability.
author_names: Luciano Ferreira Da Silva

Arnoldo J H Guevara

Ernesto D R Santibanez Gonzalez

Paulo Sergio Goncalves de Oliveira
title: Evolution toward environment sustainable behavior: search for survival in the plastic industry in Brazil
year: 2019

abstract: A geo based information provision, search and access system is capable of allowing location owners to post information or transfer live data via a website connected to the system. The information and data provided are directly linked to locations on a digital map displayed on the website. Users may search a geographic area and select interested category on the website; the digital map displays all or selected locations. By selecting a specific location users may have direct access to the information, and live data such as multimedia programs provided by the location owner. The system may allow third party data resources to post information and or transfer live data via the system. Users with mobile device installed with mobile application of the system will automatically receive full access of information and live data provided by location owner via wireless network when they are physically within a range of a location.
title: On site sales and new products advertisements search method and system
year: 2015

abstract: A large portion of real world data is either text or structured (e.g. relational) data. Moreover, such data objects are often linked together (e.g. structured specification of products linking with the corresponding product descriptions and customer comments) Even for text data such as news data, typed entities can be extracted with entity extraction tools. The EventCube project constructs TextCube and TopicCube from interconnected structured and text data (or from text data via entity extraction and dimension building) and performs multidimensional search and analysis on such datasets, in an informative, powerful, and user friendly manner. This proposed EventCube demo will show the power of the system not only on the originally designed ASRS (Aviation Safety Report System) data sets, but also on news datasets collected from multiple news agencies, and academic datasets constructed from the DBLP and web data. The system has high potential to be extended in many powerful ways and serve as a general platform for search, OLAP (online analytical processing) and data mining on integrated text and structured data. After the system demo in the conference, the system will be put on the web for public access and evaluation.
author_names: Fangbo Tao

Kin Hou Lei

Jiawei Han

ChengXiang Zhai

Xiao Cheng

Marina Danilevsky

Nihit Desai

Bolin Ding

Jing Ge

Heng Ji

Rucha Kanade

Anne Kao

Qi Li

Yanen Li

Cindy Xide Lin

Jialu Liu

Nikunj C Oza

Ashok N Srivastava

Rodney Tjoelker

Chi Wang

Duo Zhang

Bo Zhao
title: EventCube: multi dimensional search and mining of structured and text data
venue: KDD
year: 2013