Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 25 for “"semantic search"”.
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Annotation of multimedia learning materials for semantic search
… concept of interest is covered. To enable semantic search on the lecture materials, their content must be annotated and indexed. Manual annotation of learning materials such as videos is tedious and cannot be envisioned for the growing quantity of online materials. One of the most commonly …
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Intelligent personalized approaches for semantic search and query expansion
… for services and obtains them through different search engines. To obtain the best results that meet the needs and requirements of the users, researchers have extensively studied methods such as different personalization methods by which to improve the performance and efficiency of the retrieval …
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Smart Image Search System Using Personalized Semantic Search Method
… numbers of information on the internet nowadays, search technologies are widely used in various fields. Achieving the most relevant search result for the users becomes a big challenge now. While the traditional semantic search technologies seem to achieve the most relevant search result, however, …
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A goal-oriented user interface for personalized semantic search
… goals when they browse the Web or perform searches. However, the two primary user interfaces positioned between users and the Web, Web browsers and search engines, have very little interest in users' goals. Present-day Web browsers provide only a thin interface between users and the Web, …
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Concept Learning Supported Semantic Search Using Multi-Agent System Based on Social Networks
In this research, we propose an agent-based semantic search system supported by ontological concept learning and contents annotation. Our system consists of a group of multi-agent systems (MASs), each controlling a repository of structured and unstructured documents. Each repository has its own …
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Dynamic Model Generation and Semantic Search for Open Source Projects using Big Data Analytics
… the open source and provide the user a way to search functionality. The first step of this process is to extract the metadata and dependency information from the source code using a call graph. A call graph is a directed graph that represents the execution logic of the program and helps with …
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Enhancing Digital Customer Journeys: A Comparative Analysis of Knowledge Retrieval Approaches
… the content already seen by the customer. Our research encompasses three methodologies: semantic search utilizing large language model embeddings, a frequency-based n-gram model, and a hybrid approach integrating semantic search within a deep neural network framework. Simulations on historical …
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Analysis of Search on Clinical Narrative within the EHR
… way to reduce information overload is through a search utility. However, traditional, free-text search engines within the EHR can potentially miss documents that do not contain the query but that are relevant to the clinical user's search. This dissertation aims at addressing this gap by …
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Smart Search Engine For Information Retrieval
This project addresses the main research problem in information retrieval and semantic search. It proposes the smart search theory as new theory based on hypothesis that semantic meanings of a document can be described by a set of keywords. With two experiments designed and carried out in this …
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Application of Natural Language Processing to Unstructured Data: A Case Study of Climate Change
… enable the retrieval of accurate information via semantic search capabilities. The methodology was able to successfully retrieve suitable answers to the user’s questions without reading hundreds of pages of reports. Additionally, the query process was able to bring up Figures and Tables that …
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Faceted Lightweight Ontologies: a Formalization and some Experiments
… purpose. Ontologies are core artifacts of the Semantic Web which enable machines to use inference rules to conduct automated reasoning on data. Lightweight ontologies bridge the gap between classifications and ontologies. A lightweight ontology (LO) is an ontology representing a backbone …
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Graph-based Vector Search Algorithms for Retrieval-Augmented AI Systems
… and leveraging approximate nearest neighbor search (ANNS) have thus become an important data processing primitive in AI systems following the introduction of retrievel-augmented generation (RAG). However, the complexity of tasks these AI systems aim to solve introduces challenges for existing …
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Semantic interpretation of events in lifelogging
… activities and in particular, on performing a semantic analysis and enrichment of lifelogged data. Our work centers on visual lifelogged data, such as taken from wearable cameras. Such wearable cameras generate an archive of a person’s day taken from a first-person viewpoint but one of the …
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Design Knowledge Base Using Natural Language Processing
… to enable accurate information retrieval via semantic search capabilities. Text analysis algorithms are applied to connect relevant textual and non-textual design data present within documentation to enable searchable representations of non-textual design data. The goal of this thesis is to …
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Hybride semantische Suche - eine Kombination aus Fakten- und Dokumentretrieval
Das Thema der vorliegenden Arbeit ist die semantische Suche im Kontext heutiger Informationsmanagementsysteme. Zu diesen Systemen zählen Intranets, Web 3.0-Anwendungen sowie viele Webportale, die Informationen in heterogenen Formaten und Strukturen beinhalten. Auf diesen befinden sich einerseits …
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Effective semantic-based keyword search over relational databases for knowledge discovery
<p>Keyword-based search has been popularized by Internet web search engines such as Google which is the most commonly used search engine to locate the information on the web. On the other hand while traditional database management systems offer powerful query languages such as SQL, they do not …
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An Organizational Approach to the Polysemy Problem in WordNet
… in the field of information retrieval and semantic search. To solve this problem, many approaches have been suggested. Although all the state of the art approaches are good to solve the polysemy problem partially, they do not give a general solution for it. In this thesis, we propose a …
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Robust Entity Linking in Heterogeneous Domains
… in a knowledge base by identifying the correct semantic meaning. It is applied in the extraction of structured data in RDF (Resource Description Framework) from textual documents, but equally so in facilitating artificial intelligence applications, such as Semantic Search, Reasoning and Question …
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Procedimiento semi-automático para transformar la web en web semántica
The concept of Semantic Web requires a formal representation of information according to reference ontologies that equip the Web with semantics for computer systems. There is a widespread agreement that this is done by standard labeling languages. But it also requires that there be enough semantic …
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