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Enabling Product Comparisons on Unstructured Information Using Ontology Matching [chapter]

Maximilian Walther, Niels Jäckel, Daniel Schuster, Alexander Schill
2011 Advances in Intelligent and Soft Computing  
Information extraction approaches are heavily used to gather product information on the Web, especially focusing on technical product specifications.  ...  The approach is based on a number of measures for detecting the right product attributes in the ontology to be matched with the extracted specifications and finally normalizing the specifications' values  ...  Hence, many approaches for automating the product information collection on the Web have been developed which mostly focus on extracting product information from unstructured or semi-structured sources  ... 
doi:10.1007/978-3-642-18029-3_19 dblp:conf/awic/WaltherJSS11 fatcat:okt5iflwp5en7jckpnu3rceyzy

Conjoint Mining of Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems [chapter]

Tharam S. Dillon, Yi-Ping Phoebe Chen, Elizabeth Chang, Mukesh Mohania
2014 IFIP Advances in Information and Communication Technology  
Digital information within an enterprise consists of (1) structured data and (2) unstructured content.  ...  Further, cutting edge businesses also using GPS tracking or surveillance monitors as well as sensor technologies for productivity, performance and efficiency measures, and these are provided by outsourcers  ...  These will be matched using a combination of semantic concept matching, online dictionaries, thesauri, schemas, and structure/related information, and extensions using an ontology.  ... 
doi:10.1007/978-3-662-44654-6_1 fatcat:vpjpcvapsrh53ehxqacfhmnyvy

Conjoint Knowledge Discovery Utilizing Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems

Tharam S. Dillon, Yi-Ping Phoebe Chen, Elizabeth Chang, Mukesh Mohania, Vish Ramakonar
2020 Computer systems science and engineering  
Effective knowledge and information use requires seamless access and intelligent analysis of information in its totality to allow enterprises to gain enhanced insights.  ...  In Digital Enterprises Structured Data and Semi/Unstructured Content are normally stored in two different repositories, with the first often being stored in relational Databases and the second in a content  ...  These will be matched using a combination of semantic concept matching, online dictionaries, thesauri, schemas, and structure/related information,and extensions using an ontology.  ... 
doi:10.32604/csse.2020.35.321 fatcat:in5kk5xa5nchxdzputdckwvnpq

Exploiting Knowledge Graphs for Facilitating Product/Service Discovery [article]

Sarika Jain
2020 arXiv   pre-print
Most of the existing techniques to product discovery rely on syntactic approaches, thus ignoring valuable and specific semantic information of the underlying standards during the process.  ...  The proposed architecture describes available products in web ontology language OWL and stores them in a triple store.  ...  Product matches two features, and product C matches only one. Findings and Conclusion The product descriptions on semantic web are inherently complex and in heterogeneous formats.  ... 
arXiv:2010.05213v1 fatcat:c7u2jrgpyjd2hnb3a3cceprf3e

Semantic Enterprise Technologies

Massimo Ruffolo, Luigi Guadagno, Inderbir Sidhu
2007 International Semantic Web Conference  
Semantic Models enable to exploit domain knowledge for managing both structured and unstructured information.  ...  use domain knowledge within applications.  ...  Extracting useful information from unstructured data requires a multi-pronged approach.  ... 
dblp:conf/semweb/RuffoloGS07 fatcat:o4klslgkjza7rjcraghocv7ila


Rosmayati Mohemad, Abdul Razak Hamdan, Zulaiha Ali Othamn, Noor Maizura Mohamad Noor
2016 Jurnal Teknologi  
This study explores the potential use of ontologies in extracting and populating the information from various combinations of unstructured and semi-structured data formats such as tabular, form-based and  ...  Thus, this research focuses on the extraction of contractor profiles from tender documents in order to enrich ontological contractor profile by populating the relevant extracted information.  ...  Table is a common form of presenting data and often contains factual information that could be useful for better product comparison or recommendation by exploiting the semantic of the products' attributes  ... 
doi:10.11113/jt.v78.9719 fatcat:g3cmui3oivan3j6r34b7dd3wqi

Semantic Federation of Product Information from Structured and Unstructured Sources

Matthias Wauer, Johannes Meinecke, Daniel Schuster, Andreas Konzag, Markus Aleksy, Till Riedel
2011 International Journal of Business Data Communications and Networking  
Existing solutions for product information management (PIM) are usually restricted to structured information, but most of the business-critical information resides in unstructured documents.  ...  Product-related information can be found in various data sources and formats across the product lifecycle.  ...  Existing frameworks for information extraction are attached that integrate unstructured information, using the respective domain ontology and existing knowledge.  ... 
doi:10.4018/jbdcn.2011040105 fatcat:ytue6abtdvhlfg3hnoskmgr5am

Prediction and Analysis of Unstructured Text Data for Efficient Decision Making

Saurabh Shashikant Kulkarni
2019 International Journal for Research in Applied Science and Engineering Technology  
The rapid increase in the internet use has led to users taking online reviews and opinions on the internet for a particular product or service, the growth of social networks had hiked sharing and communication  ...  The feedback can be in various forms unstructured and structured which makes it hard for the organizations to identify the exact problem.  ...  In our research, we are using unstructured data because that will help in extracting more accurate and relevant information from the data.  ... 
doi:10.22214/ijraset.2019.5092 fatcat:j2aivj7mzjd65onyxto755cqf4

A Framework for Business Intelligence Application using Ontological Classification [article]

A. Martin, D. Maladhy, V. Prasanna Venkatesan
2011 arXiv   pre-print
One of the information repositories is web. Retrieving Specific information from the web is challenging. An Ontological model is developed to capture specific information by using web semantics.  ...  From the Ontology model, the relations between the data are mined using decision tree. From all these a new framework is developed for Business Intelligence.  ...  Existing ontology matching methods rely heavily on lexical similarity.  ... 
arXiv:1109.1088v1 fatcat:wcrsgxfhwveyde4uitx4lsioqy

VeeAlign: Multifaceted Context Representation using Dual Attention for Ontology Alignment [article]

Vivek Iyer, Arvind Agarwal, Harshit Kumar
2021 arXiv   pre-print
By doing this, not only is our approach able to exploit both syntactic and semantic information encoded in ontologies, it is also, by design, flexible and scalable to different domains with minimal effort  ...  State-of-the-art (SOTA) Ontology Alignment systems typically use naive domain-dependent approaches with handcrafted rules or domain-specific architectures, making them unscalable and inefficient.  ...  Related Work This section discusses related work on enrichment of ontologies from unstructured text as well as approaches to create and maintain information security ontologies.  ... 
arXiv:2102.04081v3 fatcat:h6rq2vrjsbekfkbofymjasrufq

Framework for Interrogative Knowledge Identification

Fatimah Sidi, Marzanah A. Jabar, Mohd Hasan Selamat, Abdul Azim Abd Ghani, Md Nasir Sulaiman
2009 Computer and Information Science  
This research is an experimental approach using an appropriate test collection of unstructured documents. A system was developed based on the Interrogative Knowledge Identification framework.  ...  This is to improve better understanding the process of making sense the information or knowledge residing in unstructured documents.  ...  Comparison of results on the testing and analysis of the MalayIK-Ontology implemented is done with an expert evaluation.  ... 
doi:10.5539/cis.v2n4p109 fatcat:bij4p5qq3bgvjns4733lc7oxbe

Semantic enrichment for enhancing LAM data and supporting digital humanities. Review article

Marcia Lei Zeng
2019 El Profesional de la Informacion  
In order to enhance LAM data's quality and discoverability while enabling a self-sustaining ecosystem, "semantic enrichment" becomes a strategy increasingly used by LAMs during recent years.  ...  This review article focuses on semantic enrichment for enhancing LAM data and supporting Digital Humanities.  ...  The challenges of three-dimensional objects are unique, in comparison with text-based unstructured data and two-dimensional materials.  ... 
doi:10.3145/epi.2019.ene.03 fatcat:4ggte4plvfb6jlcszogwtscd4m

An Ontology-Based Technique for Online Profile Resolution [chapter]

Keith Cortis, Simon Scerri, Ismael Rivera, Siegfried Handschuh
2013 Lecture Notes in Computer Science  
The presented Social Semantic Web technique has a number of useful applications, such as detection of untrusted known persons behind anonymous profiles, and information sharing management across multiple  ...  These results are then considered in an improved algorithm, which is evaluated by real users, based on their real social network data. Here, a profile matching precision rate of 0.816 is obtained.  ...  This ontology represents generic contact/profile information, and is used by our technique as a standard format that enables the profiles to be matched.  ... 
doi:10.1007/978-3-319-03260-3_25 fatcat:2lhal4fkajccvjjmjkqfamsvaq

Semantic SOA - IT Catalyst for Business Transformation

Bhavin Raichura, Rajat Kumar
2007 Americas Conference on Information Systems  
Service-Oriented Architecture (SOA) is considered as the key technology enabler to address these challenges and achieve improved business -IT alignment.  ...  Apart from introducing new products and services, business is forced to continuously innovate and adopt new business models to survive, compete and get leading edge over others.  ...  on ontology information models facilitate model based implementation of such algorithms for product price comparison or seller ranking in Semantic SOA solution.d) Do Sellers support Comparison Shopping  ... 
dblp:conf/amcis/RaichuraK07 fatcat:b3svhqdr2vc2tce2zszrbb3d6q

A framework for enriching Data Warehouse analysis with Question Answering systems

Antonio Ferrández, Alejandro Maté, Jesús Peral, Juan Trujillo, Elisa De Gregorio, Marie-Aude Aufaure
2014 Journal of Intelligent Information Systems  
When you return your corrections, please inform us, if you would like to have these documents returned. • Please do not make changes that involve only matters of style.  ...  For registration and further information, go to: . Due to the electronic nature of the procedure, the manuscript and the original figures will only be returned to you on special request.  ...  They are mainly based on systems that use Natural Language 59 Processing (NLP) techniques to access the unstructured data in order to extract the relevant 60 information of them but they do not reach a  ... 
doi:10.1007/s10844-014-0351-2 fatcat:eg5dmszmzzde3ij7xzpbw2liey
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