Association for the Advancement of Artificial Intelligence

Displaying 1-31 of 31 results

  • White Papers // Jan 2013

    A Formal Temporal Semantics for Microsoft Project Based on Allen's Interval Algebra

    Process modeling systems are complex and difficult to compare. A key attribute of any process modeling formalism or tool is time which involves how it handles and represents temporal dependencies and constraints. The authors are interested in doing a temporal based comparison between process modeling formalisms and tools by first...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2012

    Schedule-Driven Coordination for Real-Time Traffic Network Control

    Real-time optimization of the dynamic flow of vehicle traffic through a network of signalized intersections is an important practical problem. In this paper, the authors take a decentralized, schedule-driven coordination approach to address the challenge of achieving scalable network-wide optimization. To be locally effective, each intersection is controlled independently by...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2012

    Where Online Friends Meet: Social Communities in Location-Based Networks

    Recent research suggests that, as in offline scenarios, spatial proximity increases the likelihood that two individuals establish an online social connection, and geographic closeness could therefore influence the formation of online communities. In this paper, the authors present a study of communities in two online social networks with location-sharing features...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Nov 2011

    Integration of Node Deployment and Path Planning in Restoring Network Connectivity

    A wireless sensor network can become partitioned due to node failure, requiring the deployment of additional relay nodes in order to restore network connectivity. This introduces an optimisation problem involving a tradeoff between the number of additional nodes that are required and the costs of moving through the sensor field...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // May 2011

    A Social Collaboration Argumentation System for Generating Multi-Faceted Answers in Question & Answer Communities

    In this paper, the authors propose an innovative approach for the development of social collaboration argumentation systems. These systems enable a community to collaboratively create answers to questions where many possible answers, or nuanced perspectives on a single answer, can be posited. They examine the emergence of critical reasoning via...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2011

    An Empirical Study of Geographic User Activity Patterns in Foursquare

    The authors present a large-scale study of user behavior in Foursquare, conducted on a dataset of about 700 thousand users that spans a period of more than 100 days. They analyze user checkin dynamics, demonstrating how it reveals meaningful spatio-temporal patterns and offers the opportunity to study both user mobility...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2011

    Socio-Spatial Properties of Online Location-Based Social Networks

    The spatial structure of large-scale online social networks has been largely unaccessible due to the lack of available and accurate data about people's location. However, with the recent surging popularity of location-based social services, data about the geographic position of users have been available for the first time, together with...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jun 2010

    Finding New Information Via Robust Entity Detection

    Journalists and editors work under pressure to collect relevant details and background information about specific events. They spend a significant amount of time sifting through documents and finding new information such as facts, opinions or stakeholders (i.e. people, places and organizations that have a stake in the news). Spotting them...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jun 2010

    Keyword Extraction and Headline Generation Using Novel Word Features

    The authors introduce several novel word features for keyword extraction and headline generation. These new word features are derived according to the background knowledge of a document as supplied by Wikipedia. Given a document, to acquire its background knowledge from Wikipedia, they first generate a query for searching the Wikipedia...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // May 2010

    Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach

    With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to make timely and targeted recommendations for users on places where they might be interested to go and activities that they are...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // May 2010

    Decomposing Discussion Forums and Boards Using User Roles

    Discussion forums are a central part of Web 2.0 and Enterprise 2.0 infrastructures. The health and sustainability of forums is dependent on the information exchange behaviour of its contributors, which is expressed through online conversation. The increasing popularity and importance of forums requires a better understanding and characterisation of communication...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // May 2010

    Attack Planning in the Real World

    Assessing network security is a complex and difficult task. Attack graphs have been proposed as a tool to help network administrators understand the potential weaknesses of their networks. However, a problem has not yet been addressed by previous work on this subject; namely, how to actually execute and validate the...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2010

    Efficient Spectral Feature Selection With Minimum Redundancy

    Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and unsupervised feature selection, and has been proven to be effective in many real-world applications. One common drawback associated with most existing spectral feature selection algorithms is that...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2010

    Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior

    Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers make mistakes when labeling data and consistent, reliable labels from low-commitment users are rare. In particular, users may give identical labels to activities with characteristically different signatures...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2010

    Materializing and Persisting Inferred and Uncertain Knowledge in RDF Datasets

    As the semantic web grows in popularity and enters the mainstream of computer technology, RDF (Resource Description Framework) datasets are becoming larger and more complex. Advanced semantic web ontologies, especially in medicine and science, are developing. As more complex ontologies are developed, there is a growing need for efficient queries...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2010

    Linking the Deep Web to the Linked Data Web

    Even though the Linked Data movement is gaining ground, vast amounts of information are only present in the traditional Web of human-readable pages. Data from such sources in the Surface Web and the Deep Web needs to be published as structured data into the Linked Data Web. The work described...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2010

    Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks

    Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous, and also given researchers access to massive quantities of data for empirical analysis. These data sets offer a...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2010

    Contextual Information Portals

    There is a wealth of information on the Web about any number of topics. Many communities in developing regions are often interested in information relating to specific topics. For example, health workers are interested in specific medical information regarding epidemic diseases in their region while teachers and students are interested...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2010

    Trading Strategies To Exploit Blog And News Sentiment

    The authors use quantitative media (blogs, and news as a comparison) data generated by a large-scale Natural Language Processing (NLP) text analysis system to perform a comprehensive and comparative study on how a company's reported media frequency, sentiment polarity and subjectivity anticipates or reflects its stock trading volumes and financial...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2010

    Using Data Mining to Combat Infrastructure Inefficiencies: The Case of Predicting Non-Payment for Ethiopian Telecom

    Data mining and machine learning technologies for business applications have evolved over the past two decades, and are regularly applied in contemporary organizations to everything from manufacturing to online advertising in fields ranging from health care to motor racing. Unfortunately, data mining techniques are not applied as often to problems...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Sep 2009

    DeSTIN: A Scalable Deep Learning Architecture With Application to High-Dimensional Robust Pattern Recognition

    The topic of deep learning systems has received significant attention during the past few years, particularly as a biologically-inspired approach to processing high dimensional signals. The latter often involve spatiotemporal information that may span large scales, rendering its representation in the general case highly challenging. Deep learning networks attempt to...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Sep 2009

    JABBAH: A Java Application Framework for the Translation Between Business Process Models and HTN

    HTN planning paradigm has been widely used during the last decade to model and solve planning and scheduling problems. Even so, little research has been oriented to represent and generate these planning domains automatically with the help of software tools. In this paper, the authors present an extensible software framework...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2009

    Content Based Recommendation and Summarization in the Blogosphere

    This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set within a certain topic. Each blog is assigned a score that reflects how representative it is. Blog scores are calculated recursively in terms of the scores...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2009

    A Social Identity Approach to Identify Familiar Strangers in a Social Network

    The authors present a novel problem of searching for 'familiar strangers' in a social network. Familiar strangers are individuals who are not directly connected but exhibit some similarity. The power-law nature of social networks determines that majority of individuals are directly connected with a small number of fellow individuals, and...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2009

    Characterization of FriendFeed - A Web-Based Social Aggregation Service

    Many Web users have accounts with multiple different social networking services. This scenario has prompted development of "Social aggregation" services such as FriendFeed that aggregate the information available through various services. Using five weeks of activity of more than 100,000 Friend-Feed users, the authors consider questions such as what types...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2009

    Connecting Users with Similar Interests Across Multiple Web Services

    Most online social networking services provide a feature for users to build interest groups. Based on the profiles and behavior data, web services can assist users to join groups by recommending relevant interest groups. In this paper, the authors propose a novel method to connect users across multiple services based...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2009

    BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere

    The authors present a tool BlogTrackers, which assists sociologists to track and analyze blogs of particular interests by designing and integrating unique features. They present an overview of BlogTrackers, illustrate its functions of various components of BlogTrackers, and outline future work for expansion in meeting the growing needs of sociologists....

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2009

    Belief Revision of Logic Programs Under Answer Set Semantics

    The authors have addressed the problem of belief revision in logic programming under the answer set semantics. The approach is based on a monotonic characterisation of logic programs, given in terms of the set of SE models of a program. Based on the latter, they defined and examined operators for...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2009

    Notions of Strong Equivalence for Logic Programs With Ordered Disjunction

    Ordered disjunctions have been introduced as a simple, yet expressive approach for representing preferential knowledge by means of logic programs. The semantics for the resulting language is based on the answer-set semantics, but comes in different variants, depending on the particular interpretation of preference aggregation associated to the ordered disjunction...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Dec 2008

    Toward Integrating Social Trust Into Web Service Compositions

    Web 2.0 helped bring about the development of social communities, Web services and a host of applications. Web service compositions traditionally utilize the functional and quality-of-service parameters of candidate services to decide which services to include in the composition. However, users of services often form an opinion of a service....

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Aug 2008

    Transfer Learning for WiFi-Based Indoor Localization

    The WiFi-based Indoor Localization Problem (WILP) aims to detect the location of a client device given the signals received from various access points. WILP is a complex and very important task for many AI and ubiquitous computing applications. A major approach to solving this task is through machine learning, where...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2012

    Schedule-Driven Coordination for Real-Time Traffic Network Control

    Real-time optimization of the dynamic flow of vehicle traffic through a network of signalized intersections is an important practical problem. In this paper, the authors take a decentralized, schedule-driven coordination approach to address the challenge of achieving scalable network-wide optimization. To be locally effective, each intersection is controlled independently by...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2012

    Where Online Friends Meet: Social Communities in Location-Based Networks

    Recent research suggests that, as in offline scenarios, spatial proximity increases the likelihood that two individuals establish an online social connection, and geographic closeness could therefore influence the formation of online communities. In this paper, the authors present a study of communities in two online social networks with location-sharing features...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Aug 2008

    Transfer Learning for WiFi-Based Indoor Localization

    The WiFi-based Indoor Localization Problem (WILP) aims to detect the location of a client device given the signals received from various access points. WILP is a complex and very important task for many AI and ubiquitous computing applications. A major approach to solving this task is through machine learning, where...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // May 2010

    Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach

    With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to make timely and targeted recommendations for users on places where they might be interested to go and activities that they are...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Nov 2011

    Integration of Node Deployment and Path Planning in Restoring Network Connectivity

    A wireless sensor network can become partitioned due to node failure, requiring the deployment of additional relay nodes in order to restore network connectivity. This introduces an optimisation problem involving a tradeoff between the number of additional nodes that are required and the costs of moving through the sensor field...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jun 2010

    Keyword Extraction and Headline Generation Using Novel Word Features

    The authors introduce several novel word features for keyword extraction and headline generation. These new word features are derived according to the background knowledge of a document as supplied by Wikipedia. Given a document, to acquire its background knowledge from Wikipedia, they first generate a query for searching the Wikipedia...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2013

    A Formal Temporal Semantics for Microsoft Project Based on Allen's Interval Algebra

    Process modeling systems are complex and difficult to compare. A key attribute of any process modeling formalism or tool is time which involves how it handles and represents temporal dependencies and constraints. The authors are interested in doing a temporal based comparison between process modeling formalisms and tools by first...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Sep 2009

    JABBAH: A Java Application Framework for the Translation Between Business Process Models and HTN

    HTN planning paradigm has been widely used during the last decade to model and solve planning and scheduling problems. Even so, little research has been oriented to represent and generate these planning domains automatically with the help of software tools. In this paper, the authors present an extensible software framework...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2010

    Contextual Information Portals

    There is a wealth of information on the Web about any number of topics. Many communities in developing regions are often interested in information relating to specific topics. For example, health workers are interested in specific medical information regarding epidemic diseases in their region while teachers and students are interested...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Dec 2008

    Toward Integrating Social Trust Into Web Service Compositions

    Web 2.0 helped bring about the development of social communities, Web services and a host of applications. Web service compositions traditionally utilize the functional and quality-of-service parameters of candidate services to decide which services to include in the composition. However, users of services often form an opinion of a service....

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2010

    Using Data Mining to Combat Infrastructure Inefficiencies: The Case of Predicting Non-Payment for Ethiopian Telecom

    Data mining and machine learning technologies for business applications have evolved over the past two decades, and are regularly applied in contemporary organizations to everything from manufacturing to online advertising in fields ranging from health care to motor racing. Unfortunately, data mining techniques are not applied as often to problems...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2009

    A Social Identity Approach to Identify Familiar Strangers in a Social Network

    The authors present a novel problem of searching for 'familiar strangers' in a social network. Familiar strangers are individuals who are not directly connected but exhibit some similarity. The power-law nature of social networks determines that majority of individuals are directly connected with a small number of fellow individuals, and...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2010

    Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior

    Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers make mistakes when labeling data and consistent, reliable labels from low-commitment users are rare. In particular, users may give identical labels to activities with characteristically different signatures...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jun 2010

    Finding New Information Via Robust Entity Detection

    Journalists and editors work under pressure to collect relevant details and background information about specific events. They spend a significant amount of time sifting through documents and finding new information such as facts, opinions or stakeholders (i.e. people, places and organizations that have a stake in the news). Spotting them...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Sep 2009

    DeSTIN: A Scalable Deep Learning Architecture With Application to High-Dimensional Robust Pattern Recognition

    The topic of deep learning systems has received significant attention during the past few years, particularly as a biologically-inspired approach to processing high dimensional signals. The latter often involve spatiotemporal information that may span large scales, rendering its representation in the general case highly challenging. Deep learning networks attempt to...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2009

    Content Based Recommendation and Summarization in the Blogosphere

    This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set within a certain topic. Each blog is assigned a score that reflects how representative it is. Blog scores are calculated recursively in terms of the scores...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2009

    BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere

    The authors present a tool BlogTrackers, which assists sociologists to track and analyze blogs of particular interests by designing and integrating unique features. They present an overview of BlogTrackers, illustrate its functions of various components of BlogTrackers, and outline future work for expansion in meeting the growing needs of sociologists....

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2010

    Efficient Spectral Feature Selection With Minimum Redundancy

    Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and unsupervised feature selection, and has been proven to be effective in many real-world applications. One common drawback associated with most existing spectral feature selection algorithms is that...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // May 2011

    A Social Collaboration Argumentation System for Generating Multi-Faceted Answers in Question & Answer Communities

    In this paper, the authors propose an innovative approach for the development of social collaboration argumentation systems. These systems enable a community to collaboratively create answers to questions where many possible answers, or nuanced perspectives on a single answer, can be posited. They examine the emergence of critical reasoning via...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2010

    Linking the Deep Web to the Linked Data Web

    Even though the Linked Data movement is gaining ground, vast amounts of information are only present in the traditional Web of human-readable pages. Data from such sources in the Surface Web and the Deep Web needs to be published as structured data into the Linked Data Web. The work described...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2010

    Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks

    Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous, and also given researchers access to massive quantities of data for empirical analysis. These data sets offer a...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Apr 2010

    Materializing and Persisting Inferred and Uncertain Knowledge in RDF Datasets

    As the semantic web grows in popularity and enters the mainstream of computer technology, RDF (Resource Description Framework) datasets are becoming larger and more complex. Advanced semantic web ontologies, especially in medicine and science, are developing. As more complex ontologies are developed, there is a growing need for efficient queries...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2011

    Socio-Spatial Properties of Online Location-Based Social Networks

    The spatial structure of large-scale online social networks has been largely unaccessible due to the lack of available and accurate data about people's location. However, with the recent surging popularity of location-based social services, data about the geographic position of users have been available for the first time, together with...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2011

    An Empirical Study of Geographic User Activity Patterns in Foursquare

    The authors present a large-scale study of user behavior in Foursquare, conducted on a dataset of about 700 thousand users that spans a period of more than 100 days. They analyze user checkin dynamics, demonstrating how it reveals meaningful spatio-temporal patterns and offers the opportunity to study both user mobility...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2010

    Trading Strategies To Exploit Blog And News Sentiment

    The authors use quantitative media (blogs, and news as a comparison) data generated by a large-scale Natural Language Processing (NLP) text analysis system to perform a comprehensive and comparative study on how a company's reported media frequency, sentiment polarity and subjectivity anticipates or reflects its stock trading volumes and financial...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // May 2010

    Decomposing Discussion Forums and Boards Using User Roles

    Discussion forums are a central part of Web 2.0 and Enterprise 2.0 infrastructures. The health and sustainability of forums is dependent on the information exchange behaviour of its contributors, which is expressed through online conversation. The increasing popularity and importance of forums requires a better understanding and characterisation of communication...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2009

    Belief Revision of Logic Programs Under Answer Set Semantics

    The authors have addressed the problem of belief revision in logic programming under the answer set semantics. The approach is based on a monotonic characterisation of logic programs, given in terms of the set of SE models of a program. Based on the latter, they defined and examined operators for...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Jan 2009

    Notions of Strong Equivalence for Logic Programs With Ordered Disjunction

    Ordered disjunctions have been introduced as a simple, yet expressive approach for representing preferential knowledge by means of logic programs. The semantics for the resulting language is based on the answer-set semantics, but comes in different variants, depending on the particular interpretation of preference aggregation associated to the ordered disjunction...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2009

    Characterization of FriendFeed - A Web-Based Social Aggregation Service

    Many Web users have accounts with multiple different social networking services. This scenario has prompted development of "Social aggregation" services such as FriendFeed that aggregate the information available through various services. Using five weeks of activity of more than 100,000 Friend-Feed users, the authors consider questions such as what types...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // May 2010

    Attack Planning in the Real World

    Assessing network security is a complex and difficult task. Attack graphs have been proposed as a tool to help network administrators understand the potential weaknesses of their networks. However, a problem has not yet been addressed by previous work on this subject; namely, how to actually execute and validate the...

    Provided By Association for the Advancement of Artificial Intelligence

  • White Papers // Mar 2009

    Connecting Users with Similar Interests Across Multiple Web Services

    Most online social networking services provide a feature for users to build interest groups. Based on the profiles and behavior data, web services can assist users to join groups by recommending relevant interest groups. In this paper, the authors propose a novel method to connect users across multiple services based...

    Provided By Association for the Advancement of Artificial Intelligence