A comparative study on Measure of Semantic Relatedness function

Emadzadeh, Ehsan; Nikfarjam, Azadeh; Muthaiyah, Saravanan

doi:10.1109/iccae.2010.5451991

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…MSR assumes that the strength of the relation between two terms is proportional to the number of times the two terms co-occurred in the same documents on the Web. The performance of the different MSR methods in terms of quality and accuracy was found to be dependent on the size and type of the input data (Emadzadeh et al 2010). Here, two of the more popular methods used to measure semantic relatedness in large data sets are employed, namely, Point-wise Mutual Information (PMI) and Normalised Search Similarity (NSS) (Matveeva 2008).…”

Section: Evaluating the Quality Of The Place Folkontologymentioning

confidence: 99%

Enriching user profiles using geo-social place semantics in geo-folksonomies

ElGindy

Abdelmoty

2014

International Journal of Geographical Information Science

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Geo-folksonomies link social web users to geographic places through the tags users choose to label the places with. These tags can be a valuable source of information about the user's perception of place and can reflect their experiences and activities in the places they label. By analysing the associations between users, places and tags, an understanding of a place and its relationships with other places can be drawn. This place characterisation is unique, dynamic and reflects the perception of a particular user community that generated the geo-folksonomy. In this work, an approach is proposed to analysing geo-folksonomies that builds on and extends existing statistical methods by considering specific concepts of relevance to geographic place resources, namely, place types and place-related activities, and building a place ontology to encode those concepts and relationships. The folksonomy analysis and evaluation are demonstrated using a realistic geo-folksonomy data set. The resulting ontology is used to build user profiles from the folksonomy. The derived profiles reflect the association between users and the specific places they tag as well as other places with relevant associated place type and activities. The methods proposed here provide the potential for many interesting and useful applications, including, the harvesting of useful insight on geographic space and employing the derived user profiles to enhance the search experience and to identify similarities between users based on their association to geographic places.

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Section: Evaluating the Quality Of The Place Folkontologymentioning

confidence: 99%

Enriching user profiles using geo-social place semantics in geo-folksonomies

ElGindy

Abdelmoty

2014

International Journal of Geographical Information Science

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“…The performance of the different MSR methods in terms of quality and accuracy is found to be dependent on the size and type of the input data [23]. More details and comparisons about the different MSR methods can be found in [11]. In this experiment, the Point-wise Mutual Information (PMI) [39] and the Normalised Search Similarity (NSS) [25] methods are chosen to evaluate the quality of the derived tag relationships.…”

Section: Quantitative Ontology Evaluation Using Semantic Similaritymentioning

confidence: 99%

Capturing Place Semantics on the GeoSocial Web

ElGindy

Abdelmoty

2014

J Data Semant

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Massive interest in geo-referencing of personal resources is evident on the web. People are collaboratively digitising maps and building place knowledge resources that document personal use and experiences in geographic places. Understanding and discovering these place semantics can potentially lead to the development of a different type of place gazetteer that holds not only standard information of place names and geographic location, but also activities practiced by people in a place and vernacular views of place characteristics. In this paper a novel framework is proposed for the analysis of geo-folksonomies and the automatic discovery of place-related semantics. The framework is based on a model of geographic place that extends the definition of place as defined in traditional gazetteers and geospatial ontologies to include the notion of place affordance. The derived place-related concepts are compared against an expert formal ontology of place types and activities and evaluated using both a user-based evaluation experiment and by measuring the degree of semantic relatedness of the derived concepts. To demonstrate the utility of the proposed framework, an application is developed to illustrate the possible enrichment of search experience by exposing the derived semantics to users of web mapping applications.

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A comparative study on Measure of Semantic Relatedness function

Cited by 2 publications

References 5 publications

Enriching user profiles using geo-social place semantics in geo-folksonomies

Enriching user profiles using geo-social place semantics in geo-folksonomies

Capturing Place Semantics on the GeoSocial Web

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