Search (3 results, page 1 of 1)

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Abstract

In order to improve the organization of classical music information resources, we constructed a classical music recording ontology, on top of which we then designed an online classical music catalog. Our construction of the classical music recording ontology consisted of three steps: identifying the purpose, analyzing the ontology, and encoding the ontology. We identified the main classes and properties of the domain by investigating classical music recording resources and users' information needs. We implemented the ontology in the Web Ontology Language (OWL) using five steps: transforming the properties, encoding the transformed properties, defining ranges of the properties, constructing individuals, and standardizing the ontology. In constructing the online catalog, we first designed the structure and functions of the catalog based on investigations into users' information needs and information-seeking behaviors. Then we extracted classes and properties of the ontology using the Apache Jena application programming interface (API), and constructed a catalog in the Java environment. The catalog provides a hierarchical main page (built using the Functional Requirements for Bibliographic Records (FRBR) model), a classical music information network and integrated information service; this combination of features greatly eases the task of finding classical music recordings and more information about classical music.

Type

a

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Abstract

This study examined the task type as an important factor in collaborative information seeking activities, devoting special attention to its impacts on collaborative information seeking behavior, awareness and sentiment. Collaborative information search experiments were conducted on a collaborative search system-Coagmento-for three different types of task (informational, transactional and navigational). System log, surveys and semi-structured interviews were used to collect data, with quantitative and qualitative analyses carried out on the data which related to 12 participants in four groups. Quantitative analysis employed SPSS 20, while qualitative analysis was carried out using ATLAS.ti. Through our research, we found that the task types have impact on users' collaborative information seeking behavior in terms of web page browsing, search and image using, as well as interact with task awareness. A collaborative team approach is more suitable for completing the informational task than transactional and navigational tasks, while the task type also influences the sentiment. Concretely speaking, the transactional task causes more negative emotions.

Type

a

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Abstract

As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and translingual information retrieval (TLIR). The studies of RF in TLIR have been focused on query expansion (QE), in which queries are reformulated before and/or after they are translated. However, RF in TLIR actually not only can help select better query terms, but also can enhance query translation by adjusting translation probabilities and even resolving some out-of-vocabulary terms. In this paper, we propose a novel relevance feedback method called translation enhancement (TE), which uses the extracted translation relationships from relevant documents to revise the translation probabilities of query terms and to identify extra available translation alternatives so that the translated queries are more tuned to the current search. We studied TE using pseudo-relevance feedback (PRF) and interactive relevance feedback (IRF). Our results show that TE can significantly improve TLIR with both types of relevance feedback methods, and that the improvement is comparable to that of query expansion. More importantly, the effects of translation enhancement and query expansion are complementary. Their integration can produce further improvement, and makes TLIR more robust for a variety of queries.

Type

a